December 2018 - hpc-announce - mailman3.cels.anl.gov

TAPEMS 2019 Call for Papers
by Juan A. Rico 30 Dec '18

30 Dec '18

Call for Papers for the 3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS 2019) http://tapems.unex.es <http://tapems.unex.es/> Organizers: University of Extremadura, Spain University Carlos III, Spain University College Dublin, Ireland Venue & Dates: Larnaca, Cyprus, May 14-17, 2019 To be held by: The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2019) ======================================================================================================= Introduction: The reality faced by today's practice on scientific programming is complex. Modern High Performance Computing platforms present fast networks linking deep memory hierarchies culminated by multi- and many-core GPPs and accelerators, with the goal of reaching the highest possible performance. Today's HPC is mostly done in clusters. The HPC industry relies on software tools the intriguing task of determining the performance gain or loss of using a given component, either hardware or software, but formal prediction techniques is the way to make such analysis easier and probably scalable. Performance prediction remains a significant unmet challenge in the area of HPC. The objective of the TAPEMS International Workshop is to bring together researchers and practitioners from academia and industry to discuss current advances and trends in theoretical approaches to the performance evaluation, modeling and analysis of parallel applications and algorithms on multicore clusters and heterogeneous platforms, including grids and clouds environments. Big data techniques, and energy consumption modeling, analysis and prediction are also covered. The workshop will be organized by the University of Extremadura, University College Dublin and University Carlos III, and will be held by the IEEE CCGRID 2019 conference, organized by University of Cyprus. Three main areas are considered: 1. Performance modeling and evaluation. We pursue contributions on methodologies, metrics, formalisms and tools for the performance prediction and analysis of any subsystem of current machines, such as processor, communications, memory and I/O. 2. Modeling energy efficiency of communication runtimes. Power is considered the major impediment in designing the next-generation Exascale systems, particularly affected by the cost of the communications. Current communication performance models predict communication completion times. We look for links between communication performance modeling in terms of both time and consumed energy. 3. Heterogeneous computing systems. Submissions in this area are encouraged to model workload and communication in order to optimize energy and performance in heterogeneous computing. -------------------------------------------------------------------------------------------------------- List of topics of interest for the workshop includes (but is not limited to): - Performance modeling, prediction and optimization of parallel algorithms and applications on HPC platforms. - Performance modeling and optimization of communications on heterogeneous systems. - Performance-aware and energy-aware implementation and deployment of parallel applications. - Model-based load balancing and data partitioning algorithms of data-parallel applications on heterogeneous platforms. - Tools, Libraries and Domain Specific Languages to develop scientific applications on HPC platforms. - Modeling, prediction and measurement of energy consumption on parallel platforms, including its relation to performance. - Application of the models to applications in different scientific fields. -------------------------------------------------------------------------------------------------------- Important dates: Paper Submission Deadline: February 25th, 2019. Author Notification: March 18th, 2019. Camera-Ready Paper Due: March 28th, 2019. Conference Dates: May 14th-17th, 2019. -------------------------------------------------------------------------------------------------------- Publication: All papers should be submitted electronically through Easychair workshop website (https://easychair.org/conferences/?conf=tapems2019) with PDF format. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, and may not exceed 10 letter-size (8.5 x 11) pages including all figures, tables and references using the IEEE format for conference proceedings. Accepted papers and presented at the TAPEMS 2019 will be published in the IEEE CCGrid 2019 conference proceedings (core A ranking). -------------------------------------------------------------------------------------------------------- Venue: TAPEMS is part of the CCGrid 2019 conference workshops. The conference will be held in Larnaca, Cyprus, at Golden Bay Beach Hotel situated in the South Eastern region of Cyprus at the Bay of Larnaca. Address: Dhekelia Rd, Larnaca, Cyprus. Phone: +357 24645444 -------------------------------------------------------------------------------------------------------- Organization: Juan A. Rico-Gallego (University of Extremadura, Spain) Juan C. Díaz-Martín (University of Extremadura, Spain) José D. García (University Carlos III, Spain) Alexey L. Lastovetsky University College Dublin, Ireland) Contact: jarico(a)unex.es -- __________________________________ Juan Antonio Rico Gallego, PhD Dept. Computer Systems Engineering and Telematics University of Extremadura E. U. Politécnica 10003, Cáceres, Spain jarico(a)unex.es http://hpc.unex.es/jarico

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CGO 2019 Call for Participation
by Jagadish Kotra 29 Dec '18

29 Dec '18

[We apologize if you received multiple copies of this notice] CALL FOR PARTICIPATION ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CGO 2019: International Symposium on Code Generation and Optimization http://cgo.org/cgo2019/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ February 16-20, 2019, Washington DC, USA Co-located with PPoPP and HPCA and CC. The International Symposium on Code Generation and Optimization (CGO) provides a premier venue to bring together researchers and practitioners working at the interface of hardware and software on a wide range of optimization and code generation techniques and related issues. The conference spans the spectrum from purely static to fully dynamic approaches, and from pure software-based methods to specific architectural features and support for code generation and optimization. This year’s conference includes a strong technical program, keynote talks, 7 workshops, and 1 tutorial. List of accepted papers: http://cgo.org/cgo2019/accepted/ List of workshops and tutorials: http://cgo.org/cgo2019/acceptedWorkshopTutorial/ Registration: Early registration deadline: January 31st, 2019 Registration site: http://cgo.org/cgo2019/registration/ Regards, Jagadish.

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TrustData 2019 CFP: Atlanta, USA, July 14-17, 2019
by Qin Liu 28 Dec '18

28 Dec '18

We apologize if you receive multiple copies of this TrustData 2019 CFP. We appreciate your great help if you forward this TrustData 2019 CFP to your colleages and friends. ************************************************************************************************** Call for Papers for the 10th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2019) Venue & Dates: Atlanta, USA, July 14-17, 2019 Conference Website: http://www.spaccs.org/trustdata2019/ ------------------------------------------------------------------------------------------------- Introduction The proliferation of new technologies such as Internet of Things and cloud computing calls for innovative ideas to retrieve, filter, and integrate data from a large number of diverse data sources. Big Data is an emerging paradigm applied to datasets whose volume/velocity/variability is beyond the ability of commonly used software tools to manage and process the data within a tolerable period of time. More importantly, Big Data has to be of high value, and should be protected in an efficient way. Since Big Data involves a huge amount of data that is of high-dimensionality and inter-linkage, existing trust, security, and privacy measures for traditional databases and infrastructures cannot satisfy its requirements. Novel technologies for protecting Big Data are attracting researchers and practitioners with more and more attention. Scope and Interests TrustData2019 is a part of SpaCCS 2019 (http://cse.stfx.ca/~cybermatics/2019/spaccs/) 12th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage. Topics of interest include, but are not limited to: Trust Track (1) Trust semantics, metrics, and models for Big Data (2) Trust management and evaluation for Big Data (3) Trusted systems, software, and applications for Big Data (4) Trusted platform implementation technologies for Big Data (5) Information quality/trustworthiness for Big Data (6) Provenance of content for Big Data (7) Trustworthiness of ratings/recommender systems for Big Data Security Track (1) Security model and architecture for Big Data (2) Data mining security for Big Data (3) Software and system security for Big Data (4) Intrusion detection for Gigabit Networks (5) Cryptography and Big Data (6) Visualizing large scale security data (7) Threat detection using Big Data analytics (8) Human computer interaction challenges for Big Data security (9) Data protection, integrity standards and policies (10) Security and legislative impacts for Big Data (11) Managing user access for Big Data (12) Secure quantum communications Privacy Track (1) Privacy in Big Data applications and services (2) Privacy in Big Data end-point input validation and filtering (3) Privacy in Big Data integration and transformation (4) Privacy in parallel and distributed computation (5) Privacy in Big Data storage management (6) Privacy in Big Data access control mechanisms (7) Privacy in Big Data mining and analytics (8) Privacy in Big Data sharing and visualization (9) Big Data privacy policies and standards Submission and Publication Information The accepted papers from this workshop will be published by Springer Lecture Notes in Computer Science (EI indexed). Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 10 pages (or 14 pages with the over length charge), including tables, figures, references and appendixes, in Springer LNCS Format (http://www.springer.com/cn/computer-science/lncs/conference-proceedings-gui…) with Portable Document Format (.pdf). Please submit your paper at https://www.easychair.org/conferences/?conf=trustdata2019. Authors (at least one) of any accepted paper are requested to register at the conference. Important Dates Paper Submission Deadline: March 15, 2019 Author Notification: April 15, 2019 Camera-Ready Paper Due: May 15, 2019 Conference Dates: July 14-17, 2019 General Chairs Qin Liu, Hunan University, China Arun Kumar Sangaiah, VIT University, India Wei Chang, Saint Joseph's University, USA Program Chairs Jiankun Hu, University of New South Wales at the Australian, Australia Isaac Agudo, University of Malaga, Spain Program Committee (In alphabetical order) Habtamu Abie, Norwegian Computing Center/Norsk Regnesentral, Norway Salima Benbernou, Universite Paris Descartes, France Christian Callegari, The University of Pisa, Italy Wei Chang, Saint Joseph's University, USA Anupam Chattopadhyay, Nanyang Technological University, Singapore John A. Clark, University of York, UK Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Sabrina De Capitani di Vimercati, Università degli Studi di Milano, Italy Yucong Duan, Hainan University, China Sheikh M. Habib, Technical University of Darmstadt, Germany Ching-Hsien Hsu, Chung Hua University, Taiwan Hai Jiang, Arkansas State University, USA Vana Kalogeraki, Athens University of Economics, Greece Ryan Ko, University of Waikato, New Zealand Ruggero Donida Labati, Università degli Studi di Milano, Italy Xin Liao, Hunan University, China Giovanni Livraga, Universita’ degli Studi di Milano, Italy Haibing Lu, Santa Clara University, USA Joon S. Park, Syracuse University, USA Roberto Di Pietro, Nokia Bell Labs, France Vincenzo Piuri, Universita' degli Studi di Milano, Italy Imed Romdhani, Edinburgh Napier University, UK Bimal Roy, Indian Statistical Institute, India Jun Shen, University of Wollongong, Australia Dimitris E. Simos, SBA Research, Austria Chao Song, University of Electronic Science and Technology of China, China Chang-ai Sun, University of Science and Technology Beijing, China Yuanyuan Sun, Huazhong University of Science and Technology, China Luis Javier García Villalba, Universidad Complutense de Madrid, Spain Yunsheng Wang, Kettering University, USA Mingzhong Wang, University of the Sunshine Coast, Australia Yongdong Wu, Institute for Infocomm Research, Singapore Hejun Wu, Sun Yat-Sen University, China Muneer Masadeh Bani Yassein, Jordan University of Science and Technology, Jordan Sherali Zeadally, University of Kentucky, USA Publicity Chairs Weiwei Chen, Hunan University, China Bo Ou, Hunan University, China Webmaster Panlin Hou, Hunan University, China Contact Please email inquiries concerning TrustData 2019 to: Qin Liu: gracelq AT 126 DOT com LQ's new homepage: Homepage: http://res.hnu.edu.cn/hbs/lq/ -- Dr. Qin Liu College of Computer Science and Electronic Engineering Hunan University Changsha, Hunan Province,P.R. China, 410082 Mobile: +86-13548577157 Email: gracelq628(a)hnu.edu.cn; gracelq628(a)126.com Homepage: http://res.hnu.edu.cn/hbs/lq/

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JPDC Special Issue CFP: Security & Privacy in Social Big Data-Extended Deadline Jan. 20, 2019
by Qin Liu 28 Dec '18

28 Dec '18

******************************************************************************************************************** [Apologies for multiple postings] https://www.journals.elsevier.com/journal-of-parallel-and-distributed-compu… ******************************************************************************************************************** Journal of Parallel and Distributed Computing Security & Privacy in Social Big Data ------------------------------------------------------------------------ SCOPE of the SI The rapid development of social networks dramatically changes the way people think, work, and interact. As more and more individual users proactively generate, share, and exchange digital contents through social media, social networks have become a key source of big data. However, with such vast interconnectivity, convergence of relationships, and shared user information comes increased security and privacy concerns in social big data. On one hand, users carelessly posting their personal information on social media which can easily have their privacy breached. On the other hand, malicious attackers may manipulate such information to make a profit. There are two important security and privacy issues in social networks. The first is how to effectively utilize social data while protecting user privacy. The second is how to guarantee the authenticity of social data for an in-depth data analysis. Traditional security mechanisms and models tailored to small-scale or isomorphic data are inadequate to securing social big data which exhibit enormous volume and diverse formats. Therefore, how to develop scalable cryptographic algorithms/protocols and lightweight data mining/organization/optimization models to solve the security and privacy challenges becomes crucial for the successful application of social big data. About the Topics of Interest Any topic related to security and privacy aspects, e.g., access control, authorization, authorization, and anonymization, for big data and social networks, will be considered. All aspects of design, theory and realization are of interest. The scope and interests for the special issue include but are not limited to the following list: (i) Fundamentals and Technologies in Social Networks and Big Data Social network models and platforms Social network architectures and data models Searching and discovery Architectures for big data Machine learning and deep learning Scalable computing models, theories, and algorithms Content analysis and data mining Novel and incentive applications of social big data in various fields Big data transformation, and presentation Big data acquisition, integration, cleaning, and best practices Large-scale data collection and filtering problem Sparse data modeling, compressing, and sensing (ii) Security and Privacy in Social Networks Accountability and audit in social networks Authentication and authorization in cloud services; Secure access to social networks; Big data privacy model in social networks New trust mechanism in social networks Privacy and security preserving protocol for social networks Applications of cryptography in social networks Secure data management in social networks; Privacy modeling in social networks Privacy-preserving social data publishing Private information retrieval in social networks Measurement studies of security & privacy issues in social networks Combating cyber-crime: anti-phishing, anti-spam, anti-fraud techniques (iii) Security and Privacy in Big Data Access control models and anonymization algorithms in big data Cryptography in big data and cloud computing Data protection and integrity in big data Secure searching in big data Secure outsourcing computing in big data System designs for secure data storage in big data Security model and architecture for big data; Software and system security for big data; Scalability and auditing for big data; Security and privacy in big data sharing and visualization; Security and privacy in big data mining and analytics; Data-centric security and data classification; Privacy in big data applications and services; Privacy in big data integration and transformation; Privacy in big data storage management; Threat detection using big data analytics; Big data privacy policies and standards (iv) System, Information and Network Security High performance security systems Secure system implementation Database and system security Secure operating systems Cryptographic primitives and security protocols Disaster recovery Provable security Key distribution and management Intrusion detection and prevention Privacy, anonymity and traceability Identity management Access controls and security mechanisms Web & applications security Secure routing and network management Security in content delivery networks Security in high speed network Security in optical systems and networks Network monitoring Network security policies ------------------------------------------------------------------------ Important Dates Submission deadline: January 20, 2019 First-roundpass notification (for a rejected paper): February 20, 2019 Acceptance/rejection notification: September 1, 2019 Publication materials due: December 31, 201 ------------------------------------------------------------------------ Submission Format and Guideline All submitted papers must be clearly written in excellent English and contain only original work, which has not been published by or is currently under review for any other journal or conference. Papers must not exceed 35 pages (one-column, at least 10pt fonts) including figures, tables, and references. A detailed submission guideline is available as “Guide to Authors” at: https://www.elsevier.com/journals/journal-of-parallel-and-distributed-compu… All manuscripts and any supplementary material should be submitted through Elsevier Editorial System (EES). The authors must select as “VSI: SP in Social Big Data” when they reach the “Article Type” step in the submission process. The EES website is located at: http://evise.com/evise/jrnl/jpd All papers will be peer-reviewed by at least three independent reviewers. Requests for additional information should be addressed to the guest editors. ------------------------------------------------------------------------ Guest Editors Dr. Qin Liu– Corresponding Guest Editor College of Computer Science and Electronic Engineering, Hunan University, China Email: [email protected]; gracelq628(a)126.com Dr. Md Zakirul Alam Bhuiyan Department of Computer and Information Sciences, Fordham University, USA Email: mbhuiyan3(a)fordham.edu; zakirulalam(a)gmail.com Dr. Jiankun Hu School of Engineering and IT, University of New South Wales, Australia Email: J.Hu(a)adfa.edu.au Dr. Jie Wu Department of Computer and Information Sciences, Temple University, USA Email: jiewu(a)temple.edu -- Dr. Qin Liu College of Computer Science and Electronic Engineering Hunan University Changsha, Hunan Province,P.R. China, 410082 Mobile: +86-13548577157 Email: gracelq628(a)hnu.edu.cn; gracelq628(a)126.com Homepage: http://res.hnu.edu.cn/hbs/lq/

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HPBench 2019 - CFP
by Samar Aseeri 28 Dec '18

28 Dec '18

Dear Sir, dear Madam, Please, can you pass this announcement also to interested colleagues. Kind regards ========================================================================== CALL FOR PAPERS The 6th Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2019) As part of the International Conference on High Performance Computing & Simulation (HPCS 2019) http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19 Dublin, Ireland ========================================================================== Benchmarking is an essential aspect of modern high performance computing and computational science, and as such, it provides a means for quantifying and comparing the performance of different computer systems. With a large combination of aspects to benchmark, all the way from the capability of a single core, to cluster configuration, and to various software configurations, the benchmarking process is more of an art than science. However, the results of this process drive modern science and are vital for the community to draw sensible conclusions on the performance of applications and systems. This special session focuses on research work aimed at benchmarking modern parallel and distributed systems for addressing a number of real world problems. As such, contributions concerning the definition of new open platforms, new benchmarks to match modern architectural evolutions, studies on the aspects of benchmarking different aspects of systems (from raw runtime performance to energy consumption to energy consumed per data movement) and mathematical foundations of benchmarking are sought. IMPORTANT DATES : Papers Due: 22 February 2019 Author Notification: 22 March 2019 Camera-Ready Submission: 19 April 2019 Conference Dates: 15-19 July 2019 TOPICS : The HPBench topics of interest include, but are not limited to -Open Platforms for Parallel and Distributed Application Benchmarking and Optimization -Benchmarking on the Cloud -Benchmarking of Clusters, Supercomputers, and large-scale systems -Benchmarking the Performance of I/O -Benchmarking of Energy and Energy Efficiency -Benchmarking Web Services -Virtualization for Distributed Benchmarking -Data Distribution for Benchmarking -Performance results of benchmarks on modern platforms -Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems -Benchmarking of Parallel Scientific and Business Applications -Performance of Benchmarking Applications (Eg: NAS parallel benchmarks) -Techniques, frameworks and results concerning the benchmarking of library packages -Tools and frameworks for performance modeling systems and applications -Tools and frameworks for simulation, measurement and monitoring -Performance Measurements, Monitoring, Modeling and Simulation -Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike) -Mathematical Foundations of Benchmarking, Metrics and Heuristics GENERAL CHAIRS : - Samar Aseeri, King Abdullah University of Science and Technology, Saudi Arabia - Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany - Laurent Lefevre, INRIA, ENS Lyon, France TECHNICAL PROGRAM COMMITEE: - Cosimo Anglano, Universitá del Piemonte Orientale, Italy - Fabio Baruffa, Intel, Germany - Suren Byna, Lawrence Berkeley National Laboratory, California, USA - Jesus Carretero, Universidad Carlos III de Madrid, Spain - Zhiyi Huang, University of Otago, New Zealand - Bok Jik Lee, Gwangju Institute of Science and Technology, Korea - Ravi Reddy Manumachu, University College Dublin, Ireland - Dana Petcu, West University of Timisoara, Romania - Ivan Rodero, Rutgers University, USA - Gudula Rünger, Technische Universität Chemnitz, Germany - Domenico Talia, Università della Calabria, Rende, Italy ********************************************************************* For more information see http://hpcs2019.cisedu.info/2-conference/special-sessions/session02-hpbench Kind Regards -- Samar Aseeri, PhD Computational Scientist Extreme Computing Research Center (ECRC) Building 1 -Office: 0128 *King Abdullah University of Science & Technology* Thuwal, Saudi Arabia Email: samar.aseeri(a)kaust.edu.sa -- This message and its contents, including attachments are intended solely for the original recipient. If you are not the intended recipient or have received this message in error, please notify me immediately and delete this message from your computer system. Any unauthorized use or distribution is prohibited. Please consider the environment before printing this email.

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CFP for Special Session on Virtualization in High Performance Computing and Simulation (VIRT2019)
by Uday Kurkure 28 Dec '18

28 Dec '18

http://hpcs2019.cisedu.info/2-conference/special-sessions/session01-virt *The Second Special Session on **Virtualization in High Performance Computing and Simulation* *(VIRT 2019)* *CALL FOR PAPERS & PARTICIPATION* *As part of* *The 17th International Conference on High Performance Computing & Simulation (HPCS 2019)* *http://hpcs2019.cisedu.info/ <http://hpcs2019.cisedu.info/> or http://conf.cisedu.info/rp/hpcs19 <http://conf.cisedu.info/rp/hpcs19>* *15 - 19 July 2019* *Dublin, Ireland* *Paper Submission Deadline: 03 March 2019* *Submissions could be for full papers, short papers, poster papers, or posters* *PURPOSE and SCOPE* Virtualization has become the foundation of cloud computing. The scale of cloud computing data centers is similar to the supercomputers used in High Performance Computing. Both involve millions of CPU cores, tens of thousands of accelerators like GPUs, FPGAs connected by high speed interconnects and different connection topologies. Studies have shown that the GPU utilization in HPC is often at 50%. Virtualization can be the key to increasing resource utilization and managing massive infrastructures efficiently. GPU vendors have introduced virtualized versions of GPUs. FPGAs are being deployed in virtual infrastructure. These and other developments in the field, along with future exascale systems, will provide increasing degree of virtualization within the systems. The goal of this session is to be an opportunity to discuss and exchange research on the different virtualization technologies and how they can be efficiently applied in High Performance Computing. Theoretical research, engineering solutions dealing with practical tradeoffs, and complex system implementation papers are welcomed. *The VIRT topics include (but are not limited to) the following: * - *Virtualization in HPC* o Energy efficient solutions for HPC applications in the cloud environment o High-availability based on system-level virtualization mechanisms for HPC o Fault tolerance mechanisms based on system-level virtualization mechanisms for HPC o Performance and evaluation of diverse HPC workloads in virtualization environment o Security Isolation, Resource Isolation and Data Isolation in Virtualized HPC o Flexibility and Ease of system administration and management for virtualized environments for HPCo Running diverse workloadso Running heterogeneous Operating Systemso Live Migration and Suspend/Resume of VMs to improve resource utilization and avoid downtimeo Scheduling of resources and Workloads o Software Defined Data Centers (SDDC) o Hypervisors and other virtualization solutions tailored for HPC systems o Big Data and Analytics in Virtualized Environments o Enterprise High Performance Computing in Virtualized Environments - *Accelerators in Virtualized HPC Environments:* o Virtualized GPUs § Scheduling of Virtual GPUs o Using FPGAs in Virtualization Stack § Dynamic Reconfiguration of FPGAs - * IO Virtualization* o Network Virtualization o SR-IOV o Software Defined Networking (SDN) o Storage Virtualization o RDMA and vRDMA - *Containers in HPC* o Isolation of Multiple User-Spaces o Running containers in Virtual Machines - *Tools* o Virtualization solutions for dealing with heterogeneity in HPC environments o Compilers for heterogenous architectures involving GPUS, FPGAs, multi-core CPUs o Operating system support for virtualization in HPC systems o Debugging and/or profiling in virtual environments - *Algorithms* o Distributed Resource Scheduling o Distributed Computing - *AI, Machine Learning and Deep Learning*o Virtualization of Deep Learning Workloads o Deep Learning in HPC Simulations o Resource Allocation Using Machine Learning o Reinforcement Learning for Resource Allocation o Machine Learning to build tools for measurement & calibration - *Virtualization in Simulation* *INSTRUCTIONS FOR PAPER SUBMISSIONS* You are invited to submit original and unpublished research works on above and other topics related to *virtualization in high performance computing and simulation*. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. For Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a completed online web based form (can also include a cover page) with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. Short papers (up to 4 pages), poster papers and posters (please refer to http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the special session paper submission site at https://cmt3.research.microsoft.com/VIRT2019 . Acknowledgement will be sent within 48 hours of submission. *Conference Policies* Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and soundness, presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2019 conference to present the paper at the special session as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. Contents of manuscripts submitted to the tracks program committees shall be regarded as privileged as well and handled in the same manner and standards. For more information, please refer to the Authors Info <http://hpcs2019.cisedu.info/6-participants/authors-info> and Registration Info <http://hpcs2019.cisedu.info/6-participants/registration-info> pages. *Proceedings* Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2019 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. *SPECIAL ISSUE* Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website. If you have any questions about paper submission or the special session, please contact the special session organizers. *IMPORTANT DATES* *Paper Submissions: ------------------------------------------- 03 March 2019* *Acceptance Notification: -------------------------------------- 22 March 2019* *Camera Ready Papers and Registration Due by: ----------- 19 April 2019* *Conference Dates: -------------------------------------------- 15–19 July 2019* *SPECIAL SESSION ORGANIZERS* *Uday Kurkure* VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1179 Fax: +1 650- Email: uday(a)alumni.stanford.edu *Hari Sivaraman * VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-3681 Fax: +1 650- Email: hsivaraman(a)vmware.com *Lan Vu* VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1327 Fax: +1 650- Email: lanv(a)vmware.com International Program Committee*: All submitted papers will be rigorously reviewed by the special session technical program committee members following similar criteria used in HPCS 2019 and will be published as part of the HPCS 2019 Proceedings. - *Cristina Boeres,* Fluminense Federal University, Brazil - *Isaac Gelado,* Nvidia Corp., Santa Clara, California, USA - *Kyle Hale,* Illinois Institute of Technology, Illinois, USA - *Brian Kocoloski*, Washington University in St. Louis, Missouri, USA - *Xiaoyi Lu,* The Ohio State University - Columbus, Ohio, USA - *Carlo Reano,* Queen's University Belfast, U.K. - *Federico Silla,* University of Valencia, Spain - *Alex Sim,* Lawrence Berkeley National Laboratory, California, USA - Blesson Varghese, Queen's University Belfast, U.K. - *Andrew Younge*, Sandia National Laboratories, Albuquerque, New Mexico, USA - *Dong Ping Zhang, *AMD Inc., San Jose, California, USA - *Na Zhang, *VMware Inc., Boston, Massachusetts, USA For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organization, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference’s web site at URL: http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19 or contact one of the Conference's organizers.

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[CFP] EduPar-19: 9th NSF/TCPP Workshop on Parallel and Distributed Computing Education
by Noemi Rodriguez 27 Dec '18

27 Dec '18

[We apologize if you receive multiple copies of this CFP] ========================================================= EduPar 2019 - CALL FOR PAPERS ========================================================= EduPar-19: 9th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-19) Hilton Rio de Janeiro Copacabana May 20th, 2019 Rio de Janeiro, Brazil, in conjunction with IPDPS Parallel and Distributed Computing (PDC) now permeates most computing activities. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, make parallel programming a necessary skill in the toolbox of programmers. The emergence of web services, cloud computing, and the Internet of Things have also made it necessary to deal with distributed computing. As academics, we must reflect on how best to help students develop competence in these areas and on how to prepare them for addressing the challenges of current and emerging computing technologies. To develop a broad understanding and skill set in PDC, we need to weave related subjects at various levels into the educational fabric of Computer Science (CS) and Computer Engineering (CE) programs, as well as into related computational disciplines. However, the rapid changes in computing hardware platforms and devices, languages, and supporting programming environments [MOU1] present immense challenges to educators in deciding what to include in the curriculum and what to teach in any given semester or course. EduPar provides a global forum for exploring new ideas and experiences related to a seamless inclusion of PDC topics in a CS/CE or related curricula. Our focus is primarily at the undergraduate level, but we are also interested in the K-12 and graduate levels, and in informal settings. To provide some historical perspective, since 2011, EduPar has been held successfully against the backdrop of the IPDPS, a major conference focusing on parallel and distributed computing. This effort is in coordination with the TCPP curriculum initiative (http://www.cs.gsu.edu/~tcpp/curriculum) for CS/CE undergraduates supported by NSF and its NSF-supported Center for Parallel and Distributed Computing Curriculum Development and Educational Resources (CDER). EduPar invites unpublished manuscripts, poster proposals, and candidate Peachy assignments from individuals or teams from academia, industry, and other educational and research institutes from all over the world on topics pertaining to the teaching of PDC topics in the Computer Science and Computer Engineering curriculum as well as in domain-specific computational and data science and engineering curricula. The topics of interest are as follows: * Emerging PDC topics to inform TCPP and related curricula * Curriculum design and models for incorporating PDC topics in core curricula, including in CS1/CS2 courses and in Computer Science Principles and other courses at K-12 level * Parallel and distributed models of programming/computation suitable for teaching, learning, and workforce development * Experience with incorporating PDC topics into core courses * Experience with incorporating PDC topics in the context of other applications * Pedagogical issues in incorporating PDC in undergraduate and graduate education, especially in core courses * Novel ways of teaching PDC topics, including informal learning environments * Pedagogical tools, programming environments, infrastructures, languages, and projects for PDC * Educational resources based on higher-level programming languages such as PGAS, X10, Chapel, Haskell, Python, and Cilk, as well as emerging environments such as CUDA, OpenCL, OpenACC, and Hadoop * e-Learning, e-Laboratory, Massive Open Online Courses (MOOC), Small Private Online Courses (SPOC) * PDC experiences at non-university levels; secondary school, postgraduate, industry, diffusion of PDC * Employers’ experiences with and expectation of the level of PDC proficiency among new graduates Best Paper Award: All submitted papers will be peer reviewed and considered for the Best Paper Award. Publication: Papers will be published in the workshop proceedings. We will have a summary paper for Peachy assignments and a summary paper for posters in the proceedings. These two brief summary papers will be compiled by the track chairs and co-authored by all contributing authors. Additionally, poster and Peachy assignments papers as well as presentations and artifacts will be published on the workshop website. Please note that Peachy assignments and posters will not be published individually in the workshop proceedings. Proceedings of the workshops are distributed at the conference and are submitted for inclusion in IEEE Xplore after the conference. Travel support: 15 travel grants with NSF/Intel support will be available for NSF/TCPP Curriculum Early Adopter authors of papers, peachy assignments or posters. Important dates: Paper Abstract Submission (encouraged): January, 11, 2019 Full Paper Submission: January 18, 2019 Paper Author Notification: February 25, 2019 Paper Camera-ready Paper: March 4, 2019 Poster Submission: February 8, 2019 Peachy Assignments Submission: February 8, 2019 Submission Guidelines --- Papers: Authors are asked to submit 6-8 page papers in pdf format at the EasyChair submission site https://www.easychair.org/conferences/?conf=edupar19. Submissions should be formatted as single-spaced double-column pages using 10-point font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See style templates for details. Submissions will be reviewed based on the novelty of contributions, impact on broader undergraduate curriculum, particularly on core curriculum, relevance to the goals of the workshop, and, for experience papers, the results of their evaluation and the evaluation methodology. Proceedings of the workshops are distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference. Authors will also be invited for a journal special issue, such as JPDC, as in the past workshops. --- Peachy Parallel Assignments: Course assignments are integral to student learning and also play an important role in student perceptions of the field. EduPar will include a session showcasing "Peachy Parallel Assignments" - high-quality assignments, previously-tested in class, that are readily adoptable by other educators teaching topics in parallel and distributed computing. Assignments may be previously published, but the author must have the right to publish a description of it and share all supporting materials. We are seeking assignments that are 1) Tested - All submitted assignments should have been used successfully in a class. 2) Adoptable - Preference will be given to assignments that are widely applicable and easy to adopt. Traits of such assignments include coverage of widely-taught concepts, using common parallel languages and widely-available hardware, having few prerequisites, and (with variations) being appropriate for different levels of students. 3) Cool and inspirational - We want assignments that excite students and encourage them to spend time with the material. Ideally, they would be things that students want to show off to their roommate. Assignments can cover any topics in Parallel and Distributed Computing. Initial submissions should be a single-spaced double-column one-page pdf document using 10-point font on 8.5x11 inch pages (IEEE conference style) describing the assignment and its context of use, and containing a link to a web page containing the complete set of files actually given to students (assignment description, supporting code, etc.). The document should cover the following items: What is the main idea of the assignment? What concepts are covered? Who are its targeted students? In what context have you used it? What prerequisite material does it assume they have seen? What are its strengths and weaknesses? Are there any variations that may be of interest? --- Posters: High-quality poster presentations are an integral part of EduPar. We seek posters describing recent or ongoing research. Accepted poster abstracts will be distributed to symposium participants. Interactive demos alongside posters will be supported. Posters submissions should be a single-spaced double-column one-page pdf document using 10-point font on 8.5x11 inch pages (IEEE conference style). If accepted, authors will be asked to prepare a poster to be presented at EduPar. Committees Program Committee * Joel Adams, Calvin College * Ioana Banicescu, Mississippi State University * David Brown, Tennessee Tech University * Sarita Bruschi, University of São Paulo * David Bunde, Knox College * Valeria Cardellini, University of Rome Tor Vergata * Jeffrey Carver, University of Alabama * Debzani Deb, Winston Salem State University * Silvio Fernandes, Universidade Federal Rural do Semi Árido * Henrique Freitas, Pontifical Catholic University of Minas Gerais * Victor Gergel, Nizhni Novgorod State University * Sheikh Ghafoor, Tennessee Technological University * Nasser Giacaman, The University of Auckland * Domingo Gimenez, University of Murcia * Anshul Gupta, IBM Research * Jeremy Iverson, College of Saint Benedict & Saint John's University * David Kaeli, Northeastern University * Krishna Kant, Temple University * Virginia Niculescu, Babes-Bolyai University * Peter Pacheco, University of San Francisco * Cynthia Phillips, Sandia National Laboratories * Mike Rogers, Tennessee Tech University * Arny Rosenberg, Northeastern University * Silvana Rossetto, Universidade Federal do Rio de Janeiro * Jawwad Shamsi, FAST National University of Computer and Emerging Sciences * Rudrapatna Shyamasundar, Indian Institute of Technology, Mumbai * Alan Sussman, University of Maryland * Jerry Trahan, Louisiana State University * Ramachandran Vaidyanathan, Louisiana State University * Charles Weems, University of Massachusetts Organizing committee * Workshop Chair: Sushil K Prasad (Georgia State University) * Program Chair: Noemi Rodriguez (Pontifical Catholic University of Rio de Janeiro) * Program Vice-Chair: Martina Barnas (Indiana University) * Peachy Assignments Coordinator: David Bunde (Knox College) * Proceedings Chair: Satish Puri (Marquette University) Contact All questions about submissions should be emailed to Noemi Rodriguez <noemi(a)inf.puc-rio.br>

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CFP: IEEE International Symposium on Real-Time Distributed Computing (ISORC) 2019
by Tommaso Cucinotta 26 Dec '18

26 Dec '18

[please, accept our apologies should you receive this message multiple times] *** IEEE ISORC 2019 - CALL FOR PAPERS - https://isorc2019.github.io/ *** The 22nd IEEE International Symposium on Real-Time Distributed Computing *** Valencia, Spain, May 7-9, 2019 *** *** Submission deadline: January 15, 2019 The IEEE International Symposium on Real-Time Distributed Computing (ISORC) has become established as the leading event devoted to state-of-the-art research in the field of object/component/service-oriented real-time distributed computing (ORC) technology. In addition to the main conference, for the first time, ISORC 2019 will organize a special session dedicated to posters and demos, where the objective is to allow participants to show prototypes, tools, simulators and systems, which demonstrate the applicability of real-time computing to different applications. Best papers from ISORC 2019 will be invited for submission to a Special Issue of Journal of Systems Architecture. More information including submission guidelines can be found at: https://isorc2019.github.io/. IEEE ISORC 2019 welcomes contributions on topics that include, but are not limited, to: * Programming and system engineering: real-time programming challenges, ORC paradigms, object/component models, languages, synchronous languages. * Embedded distribution middleware, model maintenance, system of systems, time-predictable systems and hardware. * Distributed computing and communication infrastructures: real-time communication, networked platforms, protocols, Internet QoS, peer-to-peer computing, sensor networks, VANETS and V2V and V2I communication, trusted and dependable systems. * Algorithms for Real Time Analytics: clustering and classification approaches, stream processing algorithms, real time decision tree generation and update, real time machine learning, statistical approaches; stream correlation and sampling approaches. * System software: real-time kernel/OS, middleware support for ORC, QoS management, extensibility, synchronization, resource allocation, scheduling, fault tolerance, security. * Real-time algorithms and infrastructure support for decentralized architectures including distributed ledgers with a focus on scalability and resilience. * Applications: Medical devices, intelligent transportation systems, Industrial automation systems and Industry 4.0, Internet of Things and Smart Grids, Embedded systems (automotive, avionics, consumer electronics, building systems, sensors, etc), multimedia processing, RT Web-based applications. * System evaluation: performance analysis, monitoring & timing, dependability, end-to-end QoS, overhead, fault detection and recovery time. * Cyber-physical and cyber-social systems (e.g. social media analytics). * Time-sensitive social dispersed computing. ORGANIZING COMMITTEE General Chairs * Arvind Easwaran, NTU, Singapore * Abhishek Dubey, Vanderbilt Univ., USA * Marisol Garcia-Valls, Universidad Carlos III de Madrid, Spain Program Chairs * Aniruddha Gokhale Vanderbilt Univ., USA * Mathias Pacher, Goethe University Frankfurt, Germany * Weichen Liu, NTU, Singapore Organization Chair * Marisol Garcia-Valls, Universidad Carlos III de Madrid, Spain * Poster/Demo Chairs * Di Liu, Yunnan University, China * Luis Lino Ferreira CISTER/ISEP, Portugal Web and Publicity Chair * Tommaso Cucinotta, Scuola Superiore Sant'Anna, Italy * Zhenkai Zhang, Vanderbilt Univ., USA Steering Committee Chairs * Uwe Brinkschulte, Goethe University Frankfurt, Germany * Rob Pettit, The Aerospace Corp., USA IMPORTANT DATES Main Track * Submission deadline January 15, 2019 * Acceptance notification March 1, 2019 * Camera-ready papers March 8, 2019 Poster/Demo Session * Submission deadline March 7, 2019 * Acceptance notification March 21, 2019 * Camera-ready papers March 28, 2019 For further information, please, refer to the official conference website: https://isorc2019.github.io/ The ISORC 2019 Organizers -- Tommaso Cucinotta, Computer Engineering PhD Associate Professor at the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/people/tommaso

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ICCCN'2019 call for full, workshop, and poster papers
by Kang Chen 25 Dec '18

25 Dec '18

We apologize if you receive multiple copies of this message/CFP. Please disseminate this CFP to your colleagues & contacts *Call for Contributions (Full, Workshop, and Poster Papers)*: --The 28th International Conference on Computer Communication and Networks (ICCCN 2019) --July 29 - August 1, 2019, Valencia, Spain --http://www.icccn.org/icccn19/ *Important Dates*: --Paper Submission Due: March 1st, 2019 --Acceptance Notification: April 26th, 2019 --Camera-Ready Due: May 10th, 2019 ICCCN is one of the leading international conferences for presenting novel ideas and fundamental advances in the fields of computer communications and networks. ICCCN serves to foster communication among researchers and practitioners with a common interest in improving computer communications and networking through scientific and technological innovation. *Scope*: The primary focus of the ICCCN 2019 conference is on new and original research results in the areas of design, implementation, and applications of computer communications and networks. Topics of interest include, but are not limited to, the following: --Cognitive, Cellular and Mobile Networks (CCM) --Communication Architecture, Algorithms, Modeling and Evaluation (CAAME) --Data Centers and Big Data Computing (DCBC) --Green Networking and Sustainable Computing (GREEN) --Grid, Cloud, Internet and Middleware Computing and Communication (GCIM) --Internet of Things (IoT) --Multimedia and Real-Time Networking (MRN) --Security, Privacy, Trust and Incentives (SPTI) --Sensor/Embedded Networks and Pervasive Computing (SNPC) --Software Defined Networks and Network Virtualization Technologies (SDN/NFV) --Social Networks and Computing (SNC) --Wireless LAN, Ad Hoc, and Mesh Networks (WAM) --Hot Topics in Networking (HOT) *Instructions for Authors*: Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and must be submitted via EasyChair (https://easychair.org/conferences/?conf=icccn2019) as PDF files (formatted for 8.5×11-inch paper). The manuscripts should be no longer than 9 pages. Up to two additional pages are permitted if the authors are willing to pay extra charge at the time of publication (manuscripts should not exceed 11 pages in total). Submitted papers should not be previously published in or be under consideration for publication in another conference or journal. Paper titles and/or author names cannot be changed and/or added to the papers once papers are submitted to ICCCN 2019 for review. The Program Committee reserves the right to not review papers that either exceed the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail addresses. Note: If a submission is not accepted as a regular paper, it may be accepted as a "short paper". All accepted papers will be considered for the Best Paper Award. The paper's abstract must be registered on EasyChair by the deadline indicated below. *Review and Publication of Manuscripts*: Submitted papers will be reviewed by the TPC and judged on originality, technical correctness, relevance, and quality of presentation. An accepted paper must be presented at the conference venue by the registered author at the full registration rate. Each full registration covers up to two conference papers authored by the registered author. *Workshops*: ICCCN 2019 workshops are exciting forums to present, discuss, and formulate specialized topics and emerging hot research topics (new areas, new problems or new methods). The workshops offer a perspective distinct from and complementary to the research themes of the main conference. Workshop papers should be no longer than 6 pages with up to two extra pages given the authors are willing to pay extra page charge (manuscripts should not exceed 8 pages in total). The detailed info can be found in the workshop Call for Papers. For any questions or additional information, please contact the Workshop General or Workshop Program Chairs. *Poster Papers*: ICCCN 2019 provides an opportunity to present in-progress work in the fields of computer communications and networks. Topics of interest are the same as the research topics in the ICCCN19 conference Call for Papers. Early implementations, prototypes, work-in-progress systems/applications as well as commercial products that are related to the topics are welcome. Presenting a poster is an effective way to obtain early and valuable feedback from a knowledgeable crowd at the conference. Posters must be formatted in standard IEEE camera-ready format (double-column, 10-pt font). Each poster submission must be no longer than 2 pages including all figures/tables and references. Organization Committees: Executive Chair: Prof. Tarek Abdelzaher, UIUC, USA. General Co-Chairs: Prof. Juan Carlos Cano, Technical University of Valencia, Spain. Dr. Raghu Ganti, IBM T. J. Watson Research Center, NY USA. TPC Co-Chairs: Prof. Carlos T. Calafate, Technical University of Valencia, Spain (calafate(a)disca.upv.es) Professor Tian He, University of Minnesota, USA (tianhe(a)umn.edu) Poster Chair: Prof. Kang Chen, Southern Illinois University, USA (kchen(a)siu.edu) Workshops General Co-Chairs: Prof. Pietro Manzoni, Technical University of Valencia, Spain Prof. Kewei Sha, University of Houston - Clear Lake Publicity Co-Chairs: Prof. Kang Chen, Southern Illinois University, USA (kchen(a)siu.edu) Prof. Enrique Hernandez, Technical University of Valencia, Spain (ehernandez(a)disca.upv.es)

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HPBDC 2019 Call for Papers
by Xiaoyi Lu 24 Dec '18

24 Dec '18

============================================================== The 5th IEEE International Workshop on High-Performance Big Data and Cloud Computing (HPBDC) http://web.cse.ohio-state.edu/~luxi/hpbdc2019 In conjunction with the 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019) Rio de Janeiro, Brazil, Monday, May 20th, 2019 ============================================================== WORKSHOP DESCRIPTION --------------------------------------- Managing and processing large volumes of data, or Big Data, and gaining meaningful insights is a significant challenge facing the parallel and distributed computing community. This has significant impact in a wide range of domains including health care, bio-medical research, Internet search, finance and business informatics, and scientific computing. As data-gathering technologies and data sources witness an explosion in the amount of input data, it is expected that in the future massive quantities of data in the order of hundreds or thousands of petabytes will need to be processed. Thus, it is critical that data-intensive computing middleware (such as Hadoop, Spark, Flink, etc.) to process such data are diligently designed, with high performance and scalability, in order to meet the growing demands of such Big Data applications. The explosive growth of Big Data has caused many industrial firms to adopt High Performance Computing (HPC) technologies to meet the requirements of huge amount of data to be processed and stored. The convergence of HPC, Big Data, and Deep Learning is becoming the next game-changing business opportunity. Apache Hadoop, Spark, gRPC/TensorFlow, and Memcached are becoming standard building blocks in handling Big Data oriented processing and mining. Modern HPC bare-metal systems and Cloud Computing platforms have been fueled with the advances in multi-/many-core architectures, RDMA-enabled networking, NVRAMs, and NVMe-SSDs during the last decade. However, Big Data and Deep Learning middleware (such as Hadoop, Spark, Flink, and gRPC) have not embraced such technologies fully. These disparities are taking HPC, Big Data, and Deep Learning into divergent trajectories. International Workshop on High-Performance Big Data, Deep Learning, and Cloud Computing (HPBDC), aims to bring HPC, Big Data processing, Deep Learning, and Cloud Computing into a convergent trajectory. The workshop provides a forum for scientists and engineers in academia and industry to present their latest research findings in major and emerging topics for 'HPC + Big Data + Deep Learning over HPC Clusters and Clouds'. HPBDC 2019 will be held in conjunction with the 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019), Rio de Janeiro, Brazil, Monday, May 20th, 2019. HPBDC 2019 welcomes original submissions in a range of areas, including but not limited to: * High-Performance Big Data analytics, Deep Learning, and Cloud Computing frameworks, programming models, and tools * Performance optimizations for Big Data, Deep Learning, and Cloud Computing systems and applications with HPC technologies * High-Performance in-memory computing technologies and abstractions * Performance modeling and evaluation for emerging Big Data processing, Deep Learning, and Coud Computing technologies * Big Data processing and Deep Learning on HPC, Cloud, and Grid computing infrastructures * Fault tolerance, reliability, and availability for high-performance Big Data computing, Deep Learning, and Cloud Computing * Green Big Data computing, Deep Learning, and HPC Clouds * Scheduling and provisioning data analytics on HPC and Cloud infrastructures * Scientific computing with Big Data and Deep Learning on HPC Clusters and/or Clouds * Case studies of Big Data and Deep Learning applications on HPC systems and Clouds * High-Performance streaming data processing architectures and technologies * High-Performance graph processing with Big Data * High-Performance SQL and NoSQL data management technologies Papers should present original research. As the fields of Big Data, Deep Learning, and Cloud Computing span many disciplines, papers should provide sufficient background material to make them accessible to the broader community. One outstanding paper will be selected for the Best Paper Award. SUBMISSION INFORMATION ---------------------------------------- All submissions should follow the IEEE standard 8.5x11 two-column format. The workshop will accept traditional research papers (8-10 pages) for in-depth topics and short papers (4 pages) for works in progress on hot topics. - Long papers: 8-10 pages, with a full problem description, background and related work, design, and evaluation. - Short papers: 4 pages, for works in progress on hot topics. All the papers should be submitted through https://easychair.org/conferences/?conf=hpbdc2019. All papers will be carefully reviewed by at least three reviewers. Papers should not be submitted in parallel to any other conference or journal. The proceedings of this workshop will be published together with the proceedings of other IPDPS 2019 workshops by the IEEE Computer Society Press. Proceedings of the workshops are distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference. At least one of the authors of each accepted paper must register as a participant of the workshop and present the paper at the workshop, in order to have the paper published in the proceedings. IMPORTANT DATES ---------------------------- - Abstract submission deadline (optional): January 15th, 2019 (Anywhere on Earth) - Paper submission deadline (extended): February 1st, 2019 (Anywhere on Earth) - Acceptance notification: March 1st, 2019 - Camera-ready deadline: March 15th, 2019 - Workshop: May 20th, 2019 WORKSHOP ORGANIZERS -------------------------------------- Xiaoyi Lu, The Ohio State University Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of Sciences, China Dhabaleswar K. (DK) Panda, The Ohio State University PROGRAM COMMITTEE (Confirmed So far) ------------------------------------------------------------ Luiz F. Bittencourt, University of Campinas, Brazil Yong Chen, Texas Tech University Ada Gavrilovska, Georgia Tech Shadi Ibrahim, Inria, France Zengxiang Li, Institute Of High Performance Computing, Singapore Suzanne McIntosh, New York University Sergey Maidanov, Intel Raghunath Nambiar, AMD Manoj Nambiar, Tata Consultancy Services Ltd., India Juan Touriño, University of A Coruña, Spain Li Zha, Institute of Computing Technology, Chinese Academy of Sciences, China Yunquan Zhang, Institute of Computing Technology, Chinese Academy of Sciences, China

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