August 2022 - hpc-announce - mailman3.cels.anl.gov

Deadline extension: 2nd International Workshop on Quantitative Codesign of Supercomputers
by Gentile, Ann 31 Aug '22

31 Aug '22

Second International Workshop on Quantitative Codesign of Supercomputers Sunday, November 13th, 2022 from 9:00 AM to noon US Central Time Dallas, Texas, USA *** Call for Position Papers *** Held in conjunction with SC22: The International Conference for High Performance Computing, Networking, and Analysis ------------------------------------------------------------------------------------------------------------------------ Important Dates ------------------------------------------------------------------------------------------------------------------------ Submissions open: July 1, 2022 Submissions EXTENSION: September 10th, 2022 AOE Author notification: September 30th, 2022 ------------------------------------------------------------------------------------------------------------------------ This symposium considers combining two methodologies – collaborative codesign and data-driven analysis – to realize the full potential of supercomputing. Our scope includes applications, system software, workflows, and health of hardware. Today’s HPC centers store vast sums of information, yet using this data presents demanding challenges. Much of the data-driven challenge has to do with discovering, accessing, and analyzing the right data. Codesign also presents formidable challenges. For example, now can a codesign development use the data collected on current systems to facilitate the design of next-generation supercomputers and successfully support our upcoming environments. Quantitative codesign offers a collaborative evidence-based approach to address our existing needs and our upcoming ambitions. This symposium will bring together leads in the field to review current efforts across centers and discuss areas that show potential. This year’s focus will be on the software environment of HPC systems: how can we combine codesign methodologies with data-driven analysis to realize the full potential of system software, middleware and tools? However, submissions targeting any relevant topic are welcomed. Topics of interest include (but are not limited to): * Effective ways and approaches to employ center-collected data in the HPC software stack. * Requirements for effective codesign. What processes and strategies result in effective codesign collaborations? * Finding the right set of data to collect, filter, and analyze. Efforts to address this problem across different groups and centers. * Providing effective analysis in a timely manner. * Novel interactions based on data-centric analysis with multiple HPC subcommunities (e.g., vendors, operations staff, end users, facilities planning, security staff, …). * Success stories involving privacy and security issues associated with data originating from many diverse systems. ------------------------------------------------------------------------------------------------------------------------ Paper submission and publication ------------------------------------------------------------------------------------------------------------------------ The workshop welcomes position papers. Position papers should be no more than 2 single-spaced pages (including figures, tables, and references) using a 11-point font on 8.5x11 inch pages (US Letter). Templates can be found here: https://quantitativecodesignsc.org/call-for-papers/ Submissions can be made at: https://submissions.supercomputer.org (look for SQCS under workshops)

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Call for Presentations at the 20th Annual Workshop on Charm++ and its Applications
by Onur Cankur 30 Aug '22

30 Aug '22

[Apologies if you receive multiple copies of this email] Call for Presentations at the 20th Annual Workshop on Charm++ and its Applications October 19-20, 2022 University of Maryland, College Park, MD (Hybrid: In-person talks + remote viewing) Submission Deadline: September 19, 2022 Website: https://charmworkshop22.github.io Authors are invited to submit abstracts describing research and development in the broad themes of parallel processing emphasized by Charm++, AMPI, and Charm4Py including runtime adaptivity, message-driven execution, task-based scheduling, automated resource management, and applications using these themes. Topics of interest include: - Parallel algorithms and applications, especially those using Charm++, AMPI, and Charm4Py - Parallel libraries and frameworks, especially those supporting runtime adaptivity - Novel parallel programming models and abstractions - Adaptive runtime management, including communication, power, energy, and heat - Dynamic load balancing - Within-node parallelism, tasks, and accelerators - Fault tolerance and resilience - Tools and techniques for performance analysis, tuning and debugging - Extensions and new features in Charm++ - Massively parallel processing on future machines Submissions should be in the form of extended abstracts from one to three pages. The presentations will be posted at the workshop website, but there will be no published proceedings. Authors are encouraged to publish them in other conferences or journals. Please send any questions to Matthias Diener <mdiener(a)illinois.edu> and Onur Cankur <ocankur(a)umd.edu>. *Abstract Submission* Abstracts should be submitted through EasyChair: https://easychair.org/conferences/?conf=charm2022 *Important Dates* Abstracts Due: September 19, 2022 AOE Notification of Acceptance: October 3, 2022 (rolling basis for early submissions) Workshop: October 19-20, 2022 Early submissions are welcome and will expedite the reviewing process. Authors of early submissions will be notified of their acceptance within a week. To register for the workshop as a virtual attendee or presenter, please register via our website: https://charmworkshop22.github.io. Registration will allow us to plan and provision for the workshop. Please forward this invitation to any colleagues who may be interested. Last year's workshop presentations can be found here: https://charm.cs.illinois.edu/workshops/charmWorkshop2021/program.shtml

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IEEE/IFIP NOM2023 - Dissertation Digest Call For Papers - December 1st, 2022 (firm!)
by Tortonesi Mauro 30 Aug '22

30 Aug '22

-------------------------------------------------------------------------------- DISSERTATION DIGEST – CALL FOR PAPERS IEEE/IFIP NOMS 2023 Network Operations and Management Symposium 8-12 May 2023, Miami, FL, USA Submission Date: December 1st, 2022 (firm!) https://noms2023.ieee-noms.org/authors/call-dissertation-digest-papers -------------------------------------------------------------------------------- The 19th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023) will be held between 8-12 May 2023 in Miami, Florida, U.S.A. Held originally in even-numbered years only since 1988, NOMS 2023 does now follow a new path of seeing the IFIP/IEEE IM symposium being combined with IEEE/IFIP NOMS into the primary IEEE Communications Society's and IFIP's Technical Committee TC6 annual forum for the technical exchange on management of networks, services, and communication technology focusing on research, development, integration, provisioning, and user communities. -------------------------------------------------------------------------------- SUBMISSION INSTRUCTIONS The NOMS 2023 Dissertation Digest focuses on Ph.D. dissertations finished recently, especially within the December 1, 2021, to November 30, 2022, time frame. Suitable content and topics fall into the exact same range as for the main symposium’s list of topics, cf. https://noms2023.ieee-noms.org/authors/. This digest can be considered an extended abstract of the thesis and must be limited to six pages and structured very similarly to a regular paper. In addition, this digest needs to add in the text and in the reference section a reference to a Web link for the full Ph.D. thesis. Furthermore, the list of journal, conference, and workshop papers, published as part of the Ph.D. work, has to be included in the digest paper’s reference section, too. Note that the authors of a digest will be only the (former) student and his/her supervisor(s). The dissertation digest co-chairs may request evidence of the defense or approval of the thesis for each submission before it can be accepted finally. Only PDF submissions will be considered for review and they shall be uploaded to the JEMS system at: https://jems3.sbc.org.br/noms_dissertation_digest_2023 -------------------------------------------------------------------------------- PAPER FORMATTING INSTRUCTIONS Prepare the dissertation digest paper with the maximal length of 6 pages (including all references, figures, and table) – in the English language only – following the IEEE double-column format using the published IEEE Conference Proceeding templates, being available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. Authors of accepted submissions are required to present their digest within Dissertation Digest sessions of NOMS 2023, if the dissertation digest paper shall be included in the proceedings. Due to IEEE/IFIP technical co-sponsorship of NOMS, your final paper is planned to be included in IEEE Xplore for archival value after the conference. -------------------------------------------------------------------------------- IMPORTANT DATES - Submission: December 1, 2022 (hard deadline, no extensions foreseen!) - Notification of Acceptance: January 9, 2023 - Camera-ready Version: January 30, 2023 NOMS 2023 Dissertation Digest Co-chairs Tortonesi Mauro, Università degli Studi di Ferrara, Italy Burkhard Stiller, University of Zürich UZH, Switzerland Further information is available with <mauro.tortonesi(a)unife.it> or <stiller(a)ifi.uzh.ch>. -- Mauro Tortonesi, Ph.D. Associate Professor Distributed Systems Research Group Department of Mathematics and Computer Science University of Ferrara https://ds.unife.it/people/mauro.tortonesi

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CGO 2023: Final Call for Papers (due September 2)
by Bernhard Egger 29 Aug '22

29 Aug '22

ACM/IEEE International Symposium on Code Generation and Optimization (CGO 2023) Final Call for Papers Co-located with PPoPP, HPCA and CC Montreal, Canada February 25 - March 1, 2023 https://www.cgo.org/ The International Symposium on Code Generation and Optimization (CGO) is 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. IMPORTANT DATES Paper Submission: September 2, 2022 Author Rebuttal Period: October 26 - October 28, 2022 Paper Notification: November 7, 2022 Artifact Evaluation Deadline: November 28, 2022 Artifact Evaluation Notification: December 20, 2022 TOPICS Original contributions are solicited on, but not limited to, the following topics: * Code Generation, Translation, Transformation, and Optimization for performance, energy, virtualization, portability, security, or reliability concerns, and architectural support * Efficient execution of dynamically typed and higher-level languages * Optimization and code generation for emerging programming models, platforms, domain-specific languages * Dynamic/static, profile-guided, feedback-directed, and machine learning based optimization * Static, Dynamic, and Hybrid Analysis for performance, energy, memory locality, throughput or latency, security, reliability, or functional debugging * Program characterization methods * Efficient profiling and instrumentation techniques; architectural support * Novel and efficient tools * Compiler design, practice and experience * Compiler abstraction and intermediate representations * Vertical integration of language features, representations, optimizations, and runtime support for parallelism * Solutions that involve cross-layer (HW/OS/VM/SW) design and integration * Deployed dynamic/static compiler and runtime systems for general purpose, embedded system and Cloud/HPC platforms * Parallelism, heterogeneity, and reconfigurable architectures * Optimizations for heterogeneous or specialized targets, GPUs, SoCs, CGRA * Compiler support for vectorization, thread extraction, task scheduling, speculation, transaction, memory management, data distribution and synchronization CALL FOR TOOL AND PRACTICAL EXPERIENCE PAPERS In recent years CGO had a special category of papers called "Tools and Practical Experience," which was very successful. CGO this year will have the same category of papers. Such a paper is subject to the same page length guidelines, except that it must give a clear account of its functionality and a summary about the practice experience with realistic case studies, and describe all the supporting artifacts available. For papers submitted in this category that present a tool, it is mandatory to submit an artifact to the Artifact Evaluation process and to be successfully evaluated. These papers will initially be conditionally accepted based on the condition that an artifact is submitted to the Artifact Evaluation process and that this artifact is successfully evaluated. Authors are not required to make their tool publicly available, but we do require that an artifact is submitted and successfully evaluated. Papers submitted in this category presenting practical experience are encouraged but not required to submit an artifact to the Artifact Evaluation process. The selection criteria for papers in this category are: * Originality: Papers should present CGO-related technologies applied to real-world problems with scope or characteristics that set them apart from previous solutions. * Usability: The presented Tools or compilers should have broad usage or applicability. They are expected to assist in CGO-related research, or could be extended to investigate or demonstrate new technologies. If significant components are not yet implemented, the paper will not be considered. * Documentation: The tool or compiler should be presented on a web-site giving docu- mentation and further information about the tool. * Benchmark Repository: A suite of benchmarks for testing should be provided. * Availability: Preferences will be given to tools or compilers that are freely available (at either the source or binary level). Exceptions may be made for industry and commercial tools that cannot be made publicly available for business reasons. * Foundations: Papers should incorporate the principles underpinning Code Generation and Optimization (CGO). However, a thorough discussion of theoretical foundations is not required; a summary of such should suffice. * Artifact Evaluation: The submitted artifact must be functional and supports the claims made in the paper. Submission of an artifact is mandatory for papers presenting a tool. ARTIFACT EVALUATION The Artifact Evaluation process is run by a separate committee whose task is to assess how the artifacts support the work described in the papers. This process contributes to improved reproducibility in research that should be a great concern to all of us. There is also some evidence that papers with a supporting artifact receive higher citations than papers without (Artifact Evaluation: Is It a Real Incentive? by B. Childers and P. Chrysanthis). Authors of accepted papers at CGO have the option of submitting their artifacts for evaluation within two weeks of paper acceptance. To ease the organization of the AE committee, we kindly ask authors to indicate at the time they submit the paper, whether they are interested in submitting an artifact. Papers that go through the Artifact Evaluation process successfully will receive a seal of approval printed on the papers themselves. Additional information is available on the CGO AE web page. Authors of accepted papers are encouraged, but not required, to make these materials publicly available upon publication of the proceedings, by including them as "source materials" in the ACM Digital Library. Authors should carefully consider the difference in focus with the co-located con- ferences when deciding where to submit a paper. CGO will make the proceedings freely available via the ACM DL platform during the period from two weeks before to two weeks after the conference. This option will facilitate easy access to the proceedings by conference attendees, and it will also enable the community at large to experience the excitement of learning about the latest developments being presented in the period surrounding the event itself.

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Science Gateways: Accelerating Research and Education
by Patrick Diehl 29 Aug '22

29 Aug '22

CiSE Special Issue: Science Gateways: Accelerating Research and Education Science gateways serve as connection points, assembling the various components of advanced cyber infrastructure - data collections, instruments, supercomputers, clouds, and analytical tools - behind streamlined, user-friendly interfaces. They are typically a community-developed web portal or a suite of desktop applications. Gateways can provide scalable access to many things: a highly-tuned parallel application running on a supercomputer; a remote instrument like a telescope or electron microscope; a curated data collection; tools to create workflows and visualizations linking these different resources; and collaborative venues to discuss results, share curricula and presentations and more. Gateways enable not only researchers with a common scientific goal, but also students and members of the broader community by providing access to top-tier resources. Gateways provide both a user-centric and a community-centric view (with social networking) of the cyber infrastructure. Guest Editors Patrick Diehl, Louisiana State University Rafael Ferreira da Silva, Oak Ridge National Laboratory Important Dates Submission deadline: 12/19/22 (AOE) First-round review decisions: 2/6/23 Deadline for revision submissions: 3/6/23 Second-round review decisions: 3/7/23 Deadline for revision submissions: 3/8/23 Notification of final decisions: 4/10/23 Tentative publication: Sep/Oct 2023 For questions and further information, please write to patrickdiehl(a)lsu.edu Please submit your paper here: https://www.computer.org/csdl/magazine/cs --- Dr. Patrick Diehl Center for Computation and Technology Department of Physics & Astronomy Louisiana State University Digital Media Center 340 E Parker Blvd, Baton Rouge, LA 70803, USA Cell: 225-284-1710

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HPCA-2023 Tutorial and Workshop CFP
by José Luis Abellán Miguel 29 Aug '22

29 Aug '22

Dear colleague: The International Symposium on High-Performance Computer Architecture (HPCA) seeks proposals for workshops and tutorials. Workshops and tutorials will be held on Saturday and Sunday before the main conference, on the 25th and 26th of February 2023. Barring extraordinary circumstances, HPCA will be held in person in Montreal, Canada. IMPORTANT DATES - Proposal Submission Deadline: Sept. 16th, 2022 23:59 AoE - Notification: October 1st, 2022 For more information, please see the HPCA23 website (https://hpca-conf.org/2023/workshop-tutorial-cfp/) ORGANIZERS General Chair: J. Nelson Amaral, University of Alberta Program Chair: David Kaeli, Northeastern University Industry Session Chair: Ravi Iyer, Intel Workshop Chair: Nandita Vijaykumar, University of Toronto Tutorials Chair: Mieszko Liz, University of British Columbia Finance Chair: Mark Jeffery, University of Toronto Submission Chairs: Kaustubh Shivdikar, Northeastern University Malith Jayaweera, Northeastern University Publication Chairs: Magnus Sjalander, Norwegian University of Science and Technology Chang Hyun Park, Uppsala University Artifact Evaluation Chairs: Hung-Wei Tseng University of California, Riverside Jeff Zhang, Arizona State University Student Travel Grant Chair: Daniel Wong, University of California, Riverside Publicity Chair: José L. Abellán, Universidad Católica de Murcia, Spain Wenjie Xiong, Facebook / Virginia Tech Web Chair: Nathan Henderson University of Alberta -- "Este mensaje es privado y confidencial y se dirige exclusivamente a su destinatario. Si usted recibe este mensaje por error, no debe revelar, distribuir o copiar este e-mail. Por favor, comuníquelo al remitente y borre el mensaje y los archivos adjuntos de su sistema. No hay renuncia a la confidencialidad ni a ningún privilegio a causa de una transmisión errónea o por mal funcionamiento". "This message is private and confidential and it is intended exclusively for the addressee. If your receive this message by mistake, you should not disseminate, distribute or copy this e-mail. Please inform the sender and delete the message and attachments from your system. No confidentiality or any privilege regarding the information is waived or lost by any mistransmission or malfunction". No me imprimas si no es necesario.Don't print me unless it's necessary.

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CFP: the 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022)
by Zhao, Xinghui 27 Aug '22

27 Aug '22

Call for Full Papers The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is an annual conference series aiming to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. Previous events were held in Leicester, UK (BDCAT 2021), online (BDCAT 2020), Auckland, New Zealand (BDCAT 2019), Zurich, Switzerland (BDCAT 2018), Austin, Texas, USA (BDCAT 2017), Shanghai, China (BDCAT 2016), Limassol, Cyprus (BDCAT 2015) and London, UK (BDCAT 2014). BDCAT 2022 will be held in conjunction with the 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2022) in Portland, Oregon, USA. Authors are invited to submit original unpublished manuscripts on a broad range of topics related to big data science, computing paradigms, platforms and applications. More information can be found at the conference’s website: https://bdcat-conference.org/ Topics of interest include (but not limited to) 1. Big Data Science * Big Data Analytics * Data Science Models and Approaches * Algorithms for Big Data * Big Data Search and Information Retrieval Techniques * Data Mining and Knowledge Discovery Approaches * Machine Learning Techniques for Big Data * Big Data Acquisition, Integration, Cleaning, and Best Practices * Big Data and Deep Learning 2. Big Data Infrastructures and Platforms * Scalable Computing Models, Theories, and Algorithms * In-Memory Systems and Platforms for Big Data Analytics * Big Data and High Performance Computing * Cyber-Infrastructure for Big Data * Performance Evaluation Reports for Big Data Systems * Storage Systems (including file systems, NoSQL, and RDBMS) * Resource Management Approaches for Big Data Systems * Data Analytics on Edge Devices 3. Big Data Applications * Big Data Applications for Internet of Things * Mobile Applications of Big Data * Big Data Applications for Cyber Physical Systems * Healthcare Applications such as Genome Processing and Analytics * Scientific Application Case Studies on Cloud Infrastructure * Big Data in Social Networks * Data Streaming Applications 4. Big Data Trends and Challenges * Fault Tolerance and Reliability * Scalability of Big Data Systems * Energy-Efficient Algorithms * Big Data Privacy and Security * Big Data Archival and Preservation 5. Visualization of Big Data * Visual Analytics Algorithms and Foundations * Graph and Context Models for Visualization * Analytics Reasoning and Sense-making on Big Data * Visual Representation and Interaction * Big Data Transformation, and Presentation Important Dates * Paper Submission: August 31, 2022 * Decision Notification: September 30, 2022 * Camera-Ready Due Date: September 15, 2022 * Conference Dates: December 6-9, 2022 Paper Submission Submitted manuscripts must represent original unpublished research that is not currently under review for any other conference or journal. Manuscripts are submitted in PDF format and may not exceed ten single-spaced double-column pages using 10-point size font on 8.5x11 inch pages, including figures, tables, and references. Please refer to https://www.ieee.org/conferences/publishing/templates.html for templates and complete formatting instructions. All manuscripts will be reviewed and judged on correctness, originality, technical strength, rigour in analysis, quality of results, quality of presentation, and interest and relevance to the conference attendees. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. The conference proceedings will be published by the IEEE and made available online via the IEEE Xplore Digital Library and ACM Digital Library. Main track submissions: https://easychair.org/conferences/?conf=bdcat2022 Workshop/symposium submissions: see respective workshop/symposium information. Awards A selection commission chaired by the BDCAT 2022 TPC chairs will select and acknowledge the best paper and best student paper to receive an award during the conference.

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DeepLearn 2022 Autumn: early registration September 14
by David Silva - IRDTA 27 Aug '22

27 Aug '22

****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Luleå, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Luleå University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice – IRDTA Brussels/London ****************************************************************** Early registration: September 14, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Autumn 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 to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2022 Autumn will take place in Luleå, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Luleå University of Technology https://www.ltu.se/?l=en 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis [virtual] Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics Sébastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Efstratios Gavves (University of Amsterdam), [advanced] Advanced Deep Learning Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning [virtual] Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Peter Richtárik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization 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 the title, authors, and summary of the research to david(a)irdta.eu by October 9, 2022. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Luleå) Sana Sabah Al-Azzawi (Luleå) Lama Alkhaled (Luleå) Prakash Chandra Chhipa (Luleå) Saleha Javed (Luleå) Marcus Liwicki (Luleå, local chair) Carlos Martín-Vide (Tarragona, program chair) Hamam Mokayed (Luleå) Sara Morales (Brussels) Mia Oldenburg (Luleå) Maryam Pahlavan (Luleå) David Silva (London, organization chair) Richa Upadhyay (Luleå) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation 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 tool disabled when the capacity of the venue will have got 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. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Luleå University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice – IRDTA, Brussels/London

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[Deadline Extension: September 9] CFP: Eighth International Workshop on Serverless Computing (WoSC8)
by Vatche Isahagian 26 Aug '22

26 Aug '22

----------------------------------------------------------------------------------------------- Please accept our apologies if you receive multiple copies of this CFP ----------------------------------------------------------------------------------------------- Eighth International Workshop on Serverless Computing (WoSC8) Part of ACM/IFIP Middleware 2022. WoSC8 will be hybrid this year with both virtual and on-location formats. Please note that while hybrid formats will be supported for workshops, the Middleware ’22 steering committee wants the main conference to be held in in-person only. Prospective attendees of the workshop should keep this in mind if they plan to attend both WoSC8 and Middleware ‘22. Over the last seven years, Serverless Computing (Serverless) has gained an enthusiastic following in industry as a compelling paradigm for the deployment of cloud applications, and is enabled by the recent shift of enterprise application architectures to containers and microservices. Many of the major cloud vendors have released serverless platforms, including Amazon Lambda, Google Cloud Functions, Microsoft Azure Functions, IBM Cloud Functions. Open source projects are gaining popularity in providing serverless computing as a service. Recently, Kubernetes gained popularity in enterprise and in academia. Several open source projects such as OpenFaaS and Knative aim to provide developers with serverless experience on top of Kubernetes by hiding low-level details. Auto-scalable multi-tenant Kubernetes deployments like Google Cloud Run or IBM Code Engine also overcome previous limitations of Serverless Functions like duration, networking, and higher granularity (more vCPUs). Serverless architectures offer different tradeoffs in terms of control, cost, and flexibility compared to distributed applications built on an Infrastructure as a Service (IaaS) substrate. For example, a serverless architecture requires developers to more carefully consider the resources used by their code (time to execute, memory used, etc.) when modularizing their applications. This is in contrast to concerns around latency, scalability, and elasticity, which is where significant development effort has traditionally been spent when building cloud services. In addition, tools and techniques to monitor and debug applications aren't applicable in serverless architectures, and new approaches are needed. As well, test and development pipelines may need to be adapted. Another decision that developers face is the appropriateness of the serverless ecosystem to their application requirements. A rich ecosystem of services built into the platform is typically easier to compose and would offer better performance. However, composing external services may be unavoidable, and in such cases, many of the benefits of serverless disappear, including performance and availability guarantees. This presents an important research challenge, and it is not clear how existing results and best practices, such as workflow composition research, can be applied to composition in a serverless environment. As this year the workshop is virtual and we are looking not only for research papers, experience papers, demonstrations, or position papers but also for live presentations of ongoing work, demonstrations, and anything else that may be interesting to workshop audience. The latest version of this CFP is available at http://serverlesscomputing.org/wosc8/ Topics This workshop solicits papers from both academia and industry on the state of practice and state of the art in serverless computing. Topics of interest include but are not limited to: * Infrastructure and network optimizations for serverless applications * Debugging serverless applications * Programming models * Use cases, experiences * Benchmarks * Cost models, pricing models, and economics of serverless * DevOps * Other topics related to serverless computing Important Dates Paper Submission: *September 9, 2022 (extended)* Notification of Acceptance: September 23, 2022 Final Camera-Ready Manuscript (Hard Deadline): October 3, 2022 Non-paper submissions (demos and other proposals): November 10, 2022 Author registration deadline: TBD Conference: November 7-11, 2022 Papers submissions Authors are invited to submit original, unpublished research/application papers that are not being considered in another forum. Submitted manuscripts should be structured as technical papers and may not exceed six (6) single-spaced double-column pages using ACM SIGPLAN style, which can be found on the ACM template page. The page limit contains all the content, including bibliography, appendix, etc. Submitted papers must adhere to the formatting instructions of the ACM SIGPLAN style, which can be found on the [3]ACM template page. The font size has to be set to 10pt. Note that submissions must be double-blind: authors’ names must not appear, and authors must make a good faith attempt to anonymize their submissions. The Middleware conference organizers will provide companion proceedings including all workshop papers, which will be available in the ACM Digital Library. This is subject to the availability of their camera-ready papers by October 10, 2021. Authors should submit the manuscript in PDF format. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, rigour in analysis, quality of results, quality of presentation, and interest and relevance to the conference attendees. Papers conforming to the above guidelines can be submitted through the paper submission system powered by HotCRP ([4]https://wosc8.hotcrp.com/) All submitted manuscripts (following MIDDLEWARE conference requirements on formatting and page limits) will be peer-reviewed by at least 3 program committee members. Accepted papers with confirmed presentation will appear in the conference proceedings as well as in the ACM Digital Library. Other submissions Authors are invited to submit proposals for demos and other presentations that are not papers. Proposals must be submitted as short abstracts (not longer than one page) in PDF format using the paper submission system HotCRP ([5]https://wosc8.hotcrp.com/) Accepted presentations will not be part of the conference proceedings but will be part of the workshop agenda with dedicated time for live presentation (with video backup), questions etc. Workshop co-chairs Paul Castro, IBM Research Pedro García López, University Rovira i Virgili Vatche Ishakian, IBM Research Vinod Muthusamy, IBM Research Aleksander Slominski, IBM Research Steering Committee Geoffrey Fox, Indiana University Dennis Gannon, Indiana University & Formerly Microsoft Research Arno Jacobsen, MSRG (Middleware Systems Research Group) Program Committee (tentative) Gul Agha, University of Illinois at Urbana-Champaign Azer Bestavros, Boston University Tyler R. Caraza-Harter, University of Wisconsin-Madison Flavio Esposito, Saint Louis University Rodrigo Fonseca, Brown University Ian Foster, University of Chicago and Argonne National Laboratory Geoffrey Fox, Indiana University Dennis Gannon, Indiana University & Formerly Microsoft Research Pedro Garcia Lopez, Universitat Rovira i Virgili (Spain) Volker Hilt, Bell Labs (Nokia) Alexandru Iosup, Vrije Universiteit Amsterdam Arno Jacobsen, MSRG (Middleware Systems Research Group) Ali Kanso, Microsoft Višnja Križanović, Josip Juraj Strossmayer University of Osijek Wes Lloyd, University of Washington Tacoma Maciej Malawski, AGH University of Science and Technology, Poland Lucas Nussbaum, LORIA, France Maciej Pawlik, Academic Computer Centre CYFRONET of the University of Science and Technology in Cracow Per Persson, Ericsson Research Peter Pietzuch, Imperial College Rodric Rabbah, Nimbella and Apache OpenWhisk Eric Rozner, University of Colorado Boulder Josef Spillner, Zurich University of Applied Sciences Rich Wolski, University of California, Santa Barbara

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Final Program for PDADS 2022 Virtual Workshop is coming Monday August 29 2022 - Registration is FREE!
by Seal, Sudip 24 Aug '22

24 Aug '22

Dear Colleague, Please consider attending the Second International Workshop on Parallel and Distributed Algorithms for Decision Sciences (PDADS) this Monday August 29 2022. The registration for this VIRTUAL workshop is FREE and the online registration form can be accessed at: hxxps://framaforms.org/icpp22-free-pre-registration-1656607917 The final schedule for the workshop program can be accessed at: hxxps://www.csm.ornl.gov/workshops/PDADS2022/program.html PDADS started in the middle of the pandemic as a virtual workshop and continues to remain virtual this year. The hope is that in coming years, we can all meet in person to maximize our interactions and further grow the workshop in its scope and attendance. A nascent workshop such as the PDADS greatly benefits from the attendance of diverse pools of researchers. So, we hope that you will encourage your colleagues, collaborators and students to also register and attend this workshop. We look forward to seeing you at the workshop this Monday! With best regards, PDADS 2022 Chairs

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