August 2017 - hpc-announce - mailman3.cels.anl.gov

Extended deadline: CFP: WOLFHPC'17: Seventh International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing
by Krishnamoorthy, Sriram 31 Aug '17

31 Aug '17

---Deadline extended to 15 Sep 2017— CALL FOR PAPERS ================================================================= Seventh International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC) http://hpc.pnl.gov/conf/wolfhpc/2017 In conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis November 17th, 2017, Denver, Colorado ================================================================= WORKSHOP DESCRIPTION -------------------- Multi-level heterogeneous parallelism and deep memory hierarchies in current and emerging computer systems make their programming for high-performance applications very difficult. The task is made more challenging by the changing landscape of system architecture mandated by power and micro-architecture considerations. Domain-specific languages (DSLs) and high-level frameworks (HLFs) provide convenient abstractions, shielding application developers from much of the complexity and variability of explicitly programming in standard programming languages like C/C++/Fortran. Effective design of such abstractions for the high-performance computing context requires close interaction between researchers developing such languages and frameworks and domain experts with a deep understanding of the problem to be solved. While a number of other venues exist that address domain-specific languages and high-level programming abstractions, none of them focus on the challenges to performance optimization and implementation on parallel systems. This workshop seeks to bring together developers and users of DSLs and HLFs to identify challenges and discuss solution approaches for their effective implementation and use on a variety of platforms, including massively parallel systems. We solicit submissions on all aspects relating to domain-specific languages and high-level frameworks for the HPC context, including, but not limited to, the design, implementation, evaluation, or use of: * Application frameworks * Domain-specific languages and libraries * High-level data structures * High-level aspects of programming languages * Directive-based optimization approaches SUBMISSION GUIDELINES --------------------- While previous WOLFHPC workshops have only called for submission of unpublished work, this year's workshop seeks a broader participation by soliciting both unpublished as well as previously published work. This is to encourage members of the community to come together and discuss current challenges and opportunities to make an impact on significant HPC applications through advances in domain-specific languages and frameworks. We solicit submissions on early, unpublished, or already-published research ideas relating to experience stories, challenges faced, and overview of prior work. This edition of the workshop will not have a formal published proceedings, and all materials will only be archived on the conference web page. Submissions should be two or more pages in pdf format but less than 10 pages (all inclusive) and follow ACM conference formatting guidelines. At least one of the authors of each accepted submission is expected to attend and present at the workshop. Submissions can be made online at: https://easychair.org/conferences/?conf=wolfhpc2017 IMPORTANT DATES --------------- Submission deadline : 15 Sep 2017 Author notification : 30 Sep 2017 Final papers due : 20 Oct 2017 WOLFHPC workshop : 17 Nov 2017 WORKSHOP ORGANIZATION --------------------- Sriram Krishnamoorthy, Pacific Northwest National Laboratory J. (Ram) Ramanujam, Louisiana State University P. (Saday) Sadayappan, The Ohio State University PROGRAM COMMITTEE ----------------- Gagan Agrawal, The Ohio State University Anthony Danalis, University of Tennessee Knoxville James Dinan, Intel Anshu Dubey, Argonne National Lab John Feo, Pacific Northwest National Lab Franz Franchetti, Carnegie Mellon University David Ham, Imperial College London Rishi Khan, Extreme Scale Solutions Christian Lengauer, University of Passau Fabio Luporini, Imperial College London Wenjing Ma, Institute of Software, Chinese Academy of Sciences Kamesh Madduri, Penn State University Pat McCormick, Los Alamos National Lab Istvan Reguly, Oxford e-Research Centre Bin Ren, College of William and Mary Manu Shantharam, SDSC Xipeng Shen, NC State Michelle Strout, Arizona State University Omer Subasi, Pacific Northwest National Lab Kenjiro Taura, University of Tokyo Yonghong Yan, Oakland University

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CALL FOR PAPERS: International Symposium on Field-Programmable Custom Computing Machines (FCCM 2018)
by Andrew Schmidt 31 Aug '17

31 Aug '17

** Please Distribute ** 26th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 2018) April 29 – May 1, 2018 Boulder, CO, USA http://www.fccm.org<http://www.fccm.org/> The IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features and capabilities of FPGAs and other reconfigurable hardware. For 25 years, FCCM has been the place to present papers on architectures, tools, and programming models for field-programmable custom computing machines and applications that use such systems. Papers are solicited on the following topics related to Field Programmable Custom Computing Machines (FCCMs): Abstractions, Architectures, and Programming Models * Novel reconfigurable architectures, including overlay architectures * Architectures for high performance and/or low power computing * Security enhancements for reconfigurable computing * Volatile and non-volatile memory subsystems; stacked/hybrid memory cubes * Emerging technologies with runtime reconfigurable-like properties * Clusters or large systems of reconfigurable devices Tools * Abstractions, programming models, and runtimes, including virtualization * New languages and design frameworks for spatial or heterogeneous applications * High-level synthesis and designer productivity in general * Software-Defined-systems (e.g. radio, networks, frameworks for new domains) Reconfiguration * Run-time management of reconfigurable hardware * System resilience/fault tolerance for reconfigurable hardware * Evolvable, adaptable, or autonomous reconfigurable computing systems * Security implications of run-time reconfiguration Applications * Data center/cluster with reconfigurable applications * New uses of run-time reconfiguration in applications-specific systems * Applications that utilize reconfigurable technology for performance and efficiency * Novel use of state-of-the-art commercial FPGAs Important Dates: Long Paper Submissions Due: Jan. 12, 2018 Short Paper Submissions Due: Jan. 19, 2018 Notification of Acceptance: Mar. 5, 2018 Camera-Ready Version Due: Mar. 17, 2018 Conference: Apr 29-May 1, 2018 Organizing Chairs: General Chair: Graham Schelle, Xilinx - graham.schelle(a)xilinx.com<mailto:[email protected]> Program Chair: Steve Wilton, University of British Columbia - stevew(a)ece.ubc.ca<mailto:[email protected]> Finance Chair: Ron Sass, University of North Carolina at Charlotte Publications Chair: Greg Stitt, University of Florida Sponsorships Chair Ryan Kastner, University of California, San Diego Publicity Chair: Andrew Schmidt, University of Southern California ISI Exhibitions and Demo Night Chair: Nachiket Kapre, University of Waterloo Paper Formats FCCM will accept 8-page papers for oral presentation and 4-page short papers for short oral and poster presentation. Authors are encouraged to submit preliminary work using the 4-page format. This category is intended for new projects and early results. These submissions will be accepted one week later than the 8-page papers. Do not submit the same work to both streams. All submissions should be written in the English language. An online submission link will be available on the FCCM website at http://www.fccm.org<http://www.fccm.org/>. Papers must meet the IEEE guidelines to be reviewed and published; links to templates are at the FCCM website. Review Process FCCM uses a double blind reviewing system. Manuscripts must not identify authors or their affiliations. Authors are encouraged to cite their own work but must not implicitly identify themselves. For example, references that clearly identify the authors ("We build on our previous work...") should be written as "This work builds on XYZ [cite]" where [cite] is the real reference. Do not put a "deleted for double-blind" entry in the reference section. (Without proper references to the prior work, reviewers will not be able to determine the contribution of the submission.) In the case of widely-available Open Source software, authors should embrace the website(s) but not claim to own them. Authors should also remember to mask grant numbers and other government markings during the review process. Papers that attempt to identify authors or leverage prior work or institutional support for a competitive advantage in the peer review process will not be considered. Best Paper Award and a Special Section for the Best FCCM 2018 Papers in ACM TRETS FCCM 2018 will continue the tradition of having a best paper award. We will also invite the authors of the best papers to extend their work to be considered for publication in a special section of ACM's Transactions on Reconfigurable Technology and Systems (TRETS) for FCCM 2018. Send in your best work for consideration! Special Note to Authors At least one author of each accepted submission is expected to attend the conference and present their work. Failure to present in person at the conference will result in the removal of the submission from IEEE Xplore. Across all topics (and especially for application papers) successful manuscripts will include sufficient details to reproduce the results presented. Application papers should not just be an implementation of an application on an FPGA, but should show how reconfigurable technology is leveraged by the application, and should ideally contain insights and lessons that can be carried forward into future designs. CAD papers that focus on the configurable nature of custom computing machines are encouraged.

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Deadline Extensions for Call for Papers to September 11th: MCHPC2017@SC 2017 - Workshop on Memory Centric Programming for HPC
by Yonghong Yan 30 Aug '17

30 Aug '17

Call for Papers has been extended to September 11, 2017 ============================================================ ===================================== MCHPC2017: Workshop on Memory Centric Programming for HPC held in conjunction with SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis and in cooperation with ACM SIGHPC November 12, 2017, Denver, CO, USA http://passlab.github.io/mchpc/mchpc2017.html The growing disparity between CPU speed and memory speed, known as the memory wall problem, has been one of the most critical and long-standing challenges in the computing industry. To address the memory wall problem, memory systems have been becoming increasingly complex in recent years. New memory technologies and architectures are introduced into conventional memory hierarchies. This newly added memory complexity plus the existing programming complexity and architecture heterogeneity make utilizing high-performance computer systems extremely challenging. Performance optimization has shifted from computing to data access, especially for data-intensive applications. Significant amount of efforts of a user is often spent on optimizing local and shared data access regarding the memory hierarchy rather than for decomposing and mapping task parallelism onto hardware. This increase of memory optimization complexity also demands significant system support, from tools to compiler technologies, and from modeling to new programming paradigms. Explicitly or implicitly, to address the memory wall performance bottleneck, the development of programming interfaces, compiler tool chains, and applications are becoming memory oriented or memory centric. The organization of this workshop believe it is important to elevate the notion of memory-centric programming to utilize the unprecedented and ever-evaluating modern memory systems. Memory-centric programming refers to the notion and techniques of exposing the hardware memory system and its hierarchy, which include NUMA regions, shared and private caches, scratch pad, 3-D stack memory, and non-volatile memory, to the programmer for extreme performance programming via portable abstraction and APIs for explicit memory allocation, data movement and consistency enforcement between memories. The concept has been gradually adopted in main stream programming interfaces, for example and to name a few, the use of place in OpenMP and X10 and locale in Chapel to represent memory regions in a system, the use of shared modifier in CUDA or cache modifier in OpenACC for representing scratch-pad SRAM for GPUs, the memkind library and the recent effort for OpenMP memory management for supporting 3-D stack memory (HBM or HMC), and PMEM library for persistent memory programming. The MCHPC workshop aims to bring together computer and computational science researchers, from industry and academia, concerned with the programmability and performance of the existing and emerging memory systems. The term performance for memory system is general, which include latency, bandwidth, power consumption and reliability from the aspect of hardware memory technologies to what it is manifested in the application performance. The topics of interest for the workshop include, but are not limited to: -- The challenges and existing solutions of programming 3-D stack memory, NVDIMM, memristor and other processor/compute-in-memory technologies. -- Compiler and runtime techniques for optimizing data layout, movement and consistency enforcement for latency hiding and for improving bandwidth utilization and energy consumption of memory system that has different memory technologies. -- Memory-centric programing interfaces or language extensions that improve the programmability of using emerging memory technologies and systems. -- Modeling, evaluation, and case study of memory system behavior that reveals the limitation and characteristics of existing memory systems and programming tool chains. -- New programming interfaces and implementation for providing shared address space or distributed shared memory -- Programming interface, library and tools for memory allocation, data movement and consistency control between memory of heterogeneous devices such as CPU, GPU and FPGA. -- New abstract machine model for diverse memory system, new memory performance and consistency model Important Dates: -- *New Deadline: September 11th, 2017 (23:59 AoE) - Full Paper Submissions* -- September 25th, 2017 - Paper Notifications -- October 11th, 2017 - Camera Ready Papers Due (No extension) -- November 12th, 2017 - MCHPC2017 Workshop Submission Guidelines: Authors are invited to submit manuscripts in English structured as technical papers up to 8 pages or as short papers up to 5 pages, both of letter size (8.5in x 11in) and including figures, tables, and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at http://www.ieee.org/conferences_events/conferences/publishing/templates.htm All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop organizers for more information. Papers should be submitted electronically at: https://easychair.org/conferences/?conf=mchpc2017 . Workshop Organizers: -- Yonghong Yan (University of South Carolina, yanyh(a)cse.sc.edu) -- Ron Brightwell (Sandia) -- Xian-He Sun (IIT) Workshop Program Committee: -- Yonghong Yan (University of South Carolina, yanyh(a)cse.sc.edu) -- Jeff Hammond (Intel) -- Kirk Cameron (Virginia Tech) -- Xian-He Sun (IIT) -- Ron Brightwell (Sandia) -- Michael A. Heroux (Sandia) -- Bo Wu (Colorado School of Mines) -- Jeffrey S. Vetter (ORNL) -- Xinming Tian (Intel) -- Bronis R. de Supinski (LLNL) -- Christian Terboven (RWTH Aachen University) -- Alejandro Duran (Intel) -- Jialin Liu (LBNL) Yonghong Yan Assistant Professor Department of Computer Science and Engineering University of South Carolina Office: 3A48, Swearingen Engineering Center Phone: 803-777-7361 Fax: 803-777-3767 Email: yanyh(a)cse.sc.edu *https://cse.sc.edu/~yanyh <https://cse.sc.edu/~yanyh>*

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UCC 2017, Austin, Texas, USA: Final Call for Papers
by Ashiq Anjum 30 Aug '17

30 Aug '17

10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) December 5-8, 2017 – Austin, Texas, USA – Call for Participation Website: http://ucc-conference.org Venue AT&T Hotel & Executive Education Conference Center 1900 University Avenue Austin, TX 78705 Context & Scope Cloud Computing delivers computational resources on-demand as services that are commoditized and delivered comfortably analogous to traditional utilities such as electricity, gas, water and telephony. Cloud service offerings for compute, storage and communication resources as well as for hosted software and data are growing at a tremendous rate. It is essential to understand how to effectively transform these services into Utilities that provide value to both users and providers. There is also increasing interest from commercial providers to offer business and revenue models around the services they offer. Understanding how these models could be used to provide utility for users, intermediary brokers (aggregators) and providers is also an area of active research. UCC is the premier IEEE/ACM conference covering all areas related to Cloud Computing as a Utility and provides an international forum for leading researchers and practitioners in this important and growing field. UCC 2017, to be held in Austin, reflects the need to bring academics and industrial researchers together to discuss how to improve existing services and how to bring new applications into the cloud. History This will be the 10th UCC in a successful conference series of community-driven events. Previous events were held in Shanghai, China (Cloud 2009), Melbourne, Australia (Cloud 2010 & UCC 2011), Chennai, India (UCC 2010), Chicago, USA (UCC 2012), Dresden, Germany (UCC2013), London, UK (UCC 2014), Limassol, Cyprus (UCC 2015) and Shanghai, China (UCC 2016). BDCAT and predecessor conferences have been co-located with UCC for the past several events. CALL FOR PAPERS Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of Cloud and Utility computing including design and analysis of distributed and centralized Cloud systems, data centre design and engineering, economic and market models for cloud systems, revenue and business models and their applications in scientific and commercial deployments. Topics of interest include but are not limited to: * Principles and theoretical foundations of Utility Computing, including pricing and service models * Policy languages and programming models, such as cloud-native and cloud-enabled applications * Utility-driven models and mechanisms for Cloud federations * Autonomic techniques for Cloud applications * Utility-/comfort-driven platforms for Clouds * Architectural models to achieve Utility in Clouds * Designs and deployment models for Clouds: private, public, hybrid, federated, aggregated * Cloud Computing middleware, stacks, tools, delivery networks and services at all layers (XaaS) * Integration of Cloud systems with edge devices * Virtualization technologies and other enablers * Economic models and scenarios of use * Scalability and resource management: brokering, scheduling, capacity planning, parallelism and elasticity, as well as marketplaces * Cloud management: autonomic, adaptive, self-*, SLAs, performance models and monitoring * Applications: games, social networks, scientific computing (e-science) and business, as well as large-scale foundations for Big Data and analytics * Mobile and energy-efficient use of Clouds * Cloud business and legal implications beyond technology, such as government regulation, security, privacy, trust and jurisdiction especially in Utility Computing contexts * Hands-on activities, tutorials, and instructional sessions on new technologies and methods Important Dates Paper submissions due 30 Aug 2017 Notification of acceptance 23 Sep 2017 Camera ready papers due 30 September, 2017 Early registration deadline 30 September, 2017 Regular registration deadline 31 October, 2017 * (Separate calls for submissions will be issued by each workshop or tutorial accepted) Manuscript guidelines Authors are requested to submit papers electronically. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the templates available at http://www.acm.org/publications/proceedings-template, which include an optional free collaborative cloud-based LaTeX authoring tool. Papers should be prepared in two-column single-spaced format. Authors should submit the manuscript in PDF format and make sure that the file will print on a printer that uses letter size (8.5 x 11) paper. The official language of the meeting is English. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Papers conforming to the above guidelines can be submitted through the UCC 2017 paper submission system (https://easychair.org/conferences/?conf=ucc2017) Submitted manuscripts should be structured as technical papers and need to conform to the ACM conference format guidelines. Manuscript submissions must be received by the announced submission deadline. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigour in analysis, quality of results, and organization and clarity of presentation of the paper. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Further details on the publication instructions and registration information will be published on the UCC website. See also the call for posters and the workshop pages on the ucc-conference.org web site.

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CFP 2nd Workshop on Big Data for Cloud Operations Management: Problems, Approaches, Tools, and Best Practices
by Sastry S Duri 30 Aug '17

30 Aug '17

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9th International Conference on Grid Computing (GridCom-2017)
by abraham＠iccsea.org 30 Aug '17

30 Aug '17

9TH INTERNATIONAL CONFERENCE ON GRID COMPUTING (GRIDCOM-2017) SEPTEMBER 23~24, 2017, COPENHAGEN, DENMARK HTTP://ICCSEA.ORG/GRIDCOM/INDEX.HTML CALL FOR PAPERS Service-oriented computing is a popular design methodology for large scale business computing systems. Grid computing enables the sharing of distributed computing and data resources such as processing, networking and storage capacity to create a cohesive resource environment for executing distributed applications in service-oriented computing. Grid computing represents more business-oriented orchestration of pretty homogeneous and powerful distributed computing resources to optimize the execution of time consuming process as well. Grid computing have received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational in e-Science and businesses. The objective of the meeting is to serve as both the premier venue for presenting foremost research results in the area and as a forum for introducing and exploring new concepts. TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO, THE FOLLOWING: Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to * Algorithms and Bioinformatics * Applications, Including E-Science and E-Business Applications * Architectures and Fabrics * Distributed and Large-Scale Data Access and Management * Core Grid Infrastructure * Peer to Peer Protocols in Grid Computing * Network Support for Grid Computing * Monitoring, Management and Organization Tools * Networking and Security * Performance Measurement and Modelling * Metadata, Ontology, and Provenance * Middleware and Toolkits for Grid Computing * Computing and Programming Models * Programming Tools and Environments * Distributed Problem Solving * Creation and Management of Virtual Enterprises and Organizations * Information Services * Resource Management, Scheduling, and Runtime Environments * Scientific, Industrial and Social Implications * QoS and SLA Negotiation * Grid Economy and Business Models * Autonomic and Utility Computing on Global Grids * Cluster and Grid Integration Issues * Web Services, Semantic Grid and Web 2.0 * Grid related Applications PAPER SUBMISSION Authors are invited to submit papers through the Conference Submission System [1] by SEPTEMBER 09, 2017. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings [2] in Computer Science & Information Technology (CS & IT) [2]series (Confirmed). Selected papers from GridCom - 2017, after further revisions, will be published in the special issues of the following international journals. * INTERNATIONAL JOURNAL OF COMPUTER NETWORKS & COMMUNICATIONS (IJCNC) [3] - ERA INDEXED, UGC LISTED * INTERNATIONAL JOURNAL OF GRID COMPUTING & APPLICATIONS (IJGCA) [4] * INTERNATIONAL JOURNAL OF DISTRIBUTED AND PARALLEL SYSTEMS (IJDPS) [5] IMPORTANT DATES * SUBMISSION DEADLINE : SEPTEMBER 09, 2017 * Authors Notification : September 20, 2017 * Registration & Camera-Ready Paper Due : September 23, 2017 Links: ------ [1] http://iccsea.org/submission/index.php [2] http://airccse.org/cscp.html [3] http://airccse.org/journal/ijcnc.html [4] http://www.airccse.org/journal/ijgca/ijgca.html [5] http://airccse.org/journal/ijdps/ijdps.html

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BigDat 2018: early registration September 3
by GRLMC 29 Aug '17

29 Aug '17

BigDat 2018: early registration September 3*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ******************************************************* 4th INTERNATIONAL WINTER SCHOOL ON BIG DATA BigDat 2018 Timișoara, Romania January 22-26, 2018 Organized by: West University of Timișoara Rovira i Virgili University http://grammars.grlmc.com/BigDat2018/ ******************************************************* SCOPE: BigDat 2018 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures, 25 five hour and fifteen minute-courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2018 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: BigDat 2018 will take place in Timișoara, which has been nominated one of the European Capitals of Culture in 2021. The venue will be: Universitatea de Vest Blvd. Vasile Parvân, nr. 4 300223 Timișoara KEYNOTE SPEAKERS: (to be completed) tba PROFESSORS AND COURSES: (to be completed) Paul Bliese (University of South Carolina), [introductory/intermediate] Using R for Mixed-effects (Multilevel) Models Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data Analytics Diego Calvanese (Free University of Bozen-Bolzano), tba Nick Duffield (Texas A&M University), [introductory/intermediate] Sampling for Big Data Sašo Džeroski (Jožef Stefan Institute), [introductory/intermediate] Multi-target Prediction: Techniques and Applications Geoffrey C. Fox (Indiana University, Bloomington), tba Minos Garofalakis (Technical University of Crete), tba David W. Gerbing (Portland State University), [introductory] Data Visualization with R Xiaohua Tony Hu (Drexel University), [introductory/advanced] Big Data Analysis in Microbiome Study Maurizio Lenzerini (Sapienza University of Rome), [intermediate/advanced] Semantic Technologies for Open Data Publishing Bing Liu (University of Illinois, Chicago), [intermediate/advanced] Lifelong Learning and its Application to NLP B.S. Manjunath (University of California, Santa Barbara), [introductory/intermediate] Working with Unstructured (Big) Data Folker Meyer (Argonne National Laboratory), tba Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Raymond Ng (University of British Columbia), [introductory] Mining and Summarizing Text Conversations Srinivasan Parthasarathy (Ohio State University), [introductory/intermediate] Network Science Fundamentals Hanan Samet (University of Maryland, College Park), [introductory/intermediate] Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial Databases, Geographic Information Systems (GIS), and Location-based Services Kyuseok Shim (Seoul National University), [introductory/intermediate] MapReduce Algorithms for Big Data Analysis Jaideep Srivastava (Qatar Computing Research Institute), [introductory/intermediate] Social Computing Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning Pascal Van Hentenryck (University of Michigan, Ann Arbor), [intermediate] Big Data in Transportation and Mobility Sebastián Ventura (University of Córdoba), tba Haixun Wang (Facebook), [intermediate/advanced] Understanding Natural Language: End-to-end and Structure Learning Approaches Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Mining Big Networked Data Zhongfei Zhang (Binghamton University), [introductory/advanced] Relational and Media Data Learning and Knowledge Discovery OPEN SESSION An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david.silva409 (at) yahoo.com by January 15, 2018. INDUSTRIAL SESSION: A session will be devoted to demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration, the duration requested and the logistics necessary. At least one of the people participating in the demonstration should have registered for the event. Expressions of interest have to be submitted to david.silva409 (at) yahoo.com by January 15, 2018. EMPLOYER SESSION: Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. At least one of the people in charge of the search should have registered for the event. Expressions of interest have to be submitted to david.silva409 (at) yahoo.com by January 15, 2018. ORGANIZING COMMITTEE: Carlos Martín-Vide (co-chair) Viorel Negru Manuel J. Parra Royón Dana Petcu Monica Sancira (co-chair) David Silva REGISTRATION: It has to be done at http://grammars.grlmc.com/BigDat2018/registration.php The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled if the capacity of the venue is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions for accommodation will be available in due time. CERTIFICATE: Participants will be delivered a certificate of attendance indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david.silva409 (at) yahoo.com ACKNOWLEDGMENTS: Universitatea de Vest din Timișoara Universitat Rovira i Virgili

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International Conference on Soft Computing and Mathematical Modelling ICSCMM17 (December 22-23, 2017)
by EKATA gupta 29 Aug '17

29 Aug '17

Dear Sir/ Madam, We are pleased to inform you that KIET Group of Institutions, Ghaziabad ((U.P), India is organizing an international Conference ‘*International Conference on Soft Computing and Mathematical Modelling-2017* during *December 22-23, 2017.* We invite you to participate in ICSCMM17. We are enclosing the copy of conference brochure in attachment for your perusal. Kindly circulate the information among your links also. Looking forward for your active participation in the same. -- *Thanks & Regards,* *Dr. C. M. Batra* *Head* *Deptt. of Applied Sciences* *Krishna Institute of Engineering & Technology, Ghaziabad* *13 KM STONE, GHAZIABAD-MEERUT ROAD, * *GHAZIABAD – 201 206 (U. P), INDIA* *Mobile No: 9873725677* *Email-ID: cm.batra(a)kiet.edu <cm.batra(a)kiet.edu>*

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CFP DATE 2018 - Topic A6 "Reconfigurable and Robust Systems"
by Christian Weis 29 Aug '17

29 Aug '17

[Apologies if you receive multiple copies] Dear colleague, We kindly invite you to submit your work to DATE 2018, Topic A6 "Reconfigurable and Robust Systems". ### ABOUT THE CONFERENCE ### DATE 2018 will take place on March 19-23, 2018, at the International Congress Center in Dresden, Germany. CALL FOR PAPERS: https://www.date-conference.com/call-for-papers SUBMISSION DEADLINE: Sunday, September. 10, 2017. ### A6 TOPIC DESCRIPTION ### Design experiences in the area of adaptive systems targeting reliability, robustness and variability-aware functionality in practical and industrial applications. Topics of interest include: reliable and reconfigurable system development and optimization; practical application mechanisms and use cases that compensate reliability issues such as aging, variability and temperature; reconfigurable systems and applications; static and dynamic reconfiguration techniques; context-aware applications and self-adaptive architectures. Kind regards, Christian Weis and Antonio Miele A6 Topic co-chairs

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PDSW-DISCS 2017: DEADLINE EXTENDED
by Mohror, Kathryn 28 Aug '17

28 Aug '17

Call for papers: (PDSW-DISCS'17) DEADLINE EXTENDED: September 7, 2017 AOE PDSW-DISCS'17: The 2nd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems ** http://www.pdsw-discs.org ** Monday, November 13, 2017 9:00am - 5:30pm ** SC'17 Workshop ** Denver, CO ** In cooperation with SIGHPC General Chair: ** Dean Hildebrand (IBM Research) Program Co-Chairs: ** Kathryn Mohror (Lawrence Livermore National Laboratory) ** Brent Welch (Google) Important Dates: ** Paper submissions due: Friday, Sept. 7, 2017, 11:59 PM AoE ** Paper Notification: Friday, Sept. 29, 2017 ** Work in Progress (WIP) Submission Deadline: Wednesday, Nov. 1, 2017 ** WIP Notification: Tuesday, Nov. 7, 2017 Workshop Abstract: We are pleased to announce that the second Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems (PDSW-DISCS'17) will be hosted at SC17: The International Conference for High Performance Computing, Networking, Storage and Analysis. The objective of this one day joint workshop is to combine two overlapping communities and to better promote and stimulate researchers' interactions to address some of the most critical challenges for scientific data storage, management, devices, and processing infrastructure for both traditional compute intensive simulations and data-intensive high performance computing solutions. Special attention will be given to issues in which community collaboration can be crucial for problem identification, workload capture, solution interoperability, standards with community buy-in, and shared tools. Many scientific problem domains continue to be extremely data intensive. Traditional high performance computing (HPC) systems and the programming models for using them such as MPI were designed from a compute-centric perspective with an emphasis on achieving high floating point computation rates. But processing, memory, and storage technologies have not kept pace and there is a widening performance gap between computation and the data management infrastructure. Hence data management has become the performance bottleneck for a significant number of applications targeting HPC systems. Concurrently, there are increasing challenges in meeting the growing demand for analyzing experimental and observational data. In many cases, this is leading new communities to look towards HPC platforms. In addition, the broader computing space has seen a revolution in new tools and frameworks to support Big Data analysis and machine learning. There is a growing need for convergence between these two worlds. Consequently, the U.S. Congressional Office of Management and Budget has informed the U.S. Department of Energy that new machines beyond the first exascale machines must address both the traditional simulation workloads as well as data intensive applications. This coming convergence prompts integrating these two workshops into a single entity to address the common challenges. Workshop topics of interest: ** Scalable storage architectures, archival storage, storage virtualization, emerging storage devices and techniques ** Performance benchmarking, resource management, and workload studies from production systems including both traditional HPC and data-intensive workloads. ** Programmability, APIs, and fault tolerance of storage systems ** Parallel file systems, metadata management, and complex data management, object and key-value storage, and other emerging data storage/retrieval techniques ** Programming models and frameworks for data intensive computing including extensions to traditional and nontraditional programming models, asynchronous multi-task programming models, or to data intensive programming models ** Techniques for data integrity, availability and reliability especially ** Productivity tools for data intensive computing, data mining and knowledge discovery ** Application or optimization of emerging "big data" frameworks towards scientific computing and analysis ** Techniques and architectures to enable cloud and container-based models for scientific computing and analysis ** Techniques for integrating compute into a complex memory and storage hierarchy facilitating in situ and in transit data processing ** Data filtering/compressing/reduction techniques that maintain sufficient scientific validity for large scale compute-intensive workloads ** Tools and techniques for managing data movement among compute and data intensive components both solely within the computational infrastructure as well as incorporating the memory/storage hierarchy Paper Submissions: http://www.pdsw-discs.org/ Paper (in pdf format) due Friday, Sept. 7, 2017, 11:59 PM AoE Notification: Friday, Sept. 29, 2017 Camera ready due: Friday, Oct. 6, 2017 Slides due before workshop: Sunday, Nov. 12, 2017, 3:00 pm MST Paper Submission Details: The PDSW-DISCS Workshop holds a peer reviewed competitive process for selecting short papers. Submit a not previously published short paper of up to 5 pages not including references, not less than 10 point font, in a PDF file as instructed on the workshop web site. Submitted papers will be reviewed under the supervision of the workshop program committee. Submissions should indicate authors and affiliations. Papers must not be longer than 5 pages (excluding references). Selected papers and associated talk slides will be made available on the workshop web site; the papers will also be published in the digital libraries of the IEEE and ACM. Work-in-progress (WIP) Submissions: http://www.pdsw-discs.org/ There will also be a WIP session at the workshop, where presenters give 5-minute brief talks on their on-going work, with fresh problems/solutions, but may not be mature or complete yet for paper submission. A 1-page abstract is required as instructed on the workshop web site. WIP Submission Deadline: Wednesday, Nov. 1, 2017 WIP Notification: Tuesday, Nov. 7, 2017 _________________________________________________________________ Kathryn Mohror, kathryn(a)llnl.gov<mailto:[email protected]>, http://scalability.llnl.gov/ Scalability Team @ Lawrence Livermore National Laboratory, Livermore, CA, USA

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