From ece-its-ml-storage-research-list at andrew.cmu.edu Sat Jan 4 03:08:13 2025 From: ece-its-ml-storage-research-list at andrew.cmu.edu ('Geoff Kuenning' via ECE Storage Research List) Date: Sat, 04 Jan 2025 00:08:13 -0800 Subject: [Storage-research-list] Call for Energy Efficiency with Sustainable Performance (EESP) Workshop at the ISC High Performance 2025 Message-ID: The following message was sent by "Afzal, Ayesha" but was mishandled by the Storage Research List; we apologize for the delay in posting it. ---------------------------------------------------------------------------------------------- EESP 2025: CALL FOR PAPERS ---------------------------------------------------------------------------------------------- Workshop on ?Energy Efficiency with Sustainable Performance: Techniques, Tools, and Best Practices? In conjunction with ISC High Performance 2025, Hamburg, Germany Submission deadline ------------------- February 20, 2025, AoE Notification ------------------------------- March 28, 2025, AoE Camera-ready deadline ---------------- April 30, 2025, AoE Workshop --------------------------------- June 13, 2025 Workshop website: https://ayeshaafzal91.github.io/eesp/ Submission link: https://easychair.org/conferences?conf=eesp25 Objective ---------------------------------- The EESP workshop fosters the exchange of innovative strategies, tools, and best practices to enhance energy efficiency in computing environments. Amid rising energy costs and ambitious sustainability goals, optimizing energy use is critical for managing computing infrastructure. The workshop focuses on balancing performance, energy and power consumption, and sustainability, offering practical guidance for exascale, Tier-1, and Tier-2 centers. Attendees will gain insights into greener, cost-effective practices to drive sustainability. Aligned with Sustainable Development Goals, EESP bridges HPC and AI communities, empowering operators to help users make energy-conscious decisions. It highlights sustained performance over peak performance for future competitiveness. Scope ---------------------------------- EESP invites academia, supercomputing centers, industry, and policymakers to collaborate on advancing energy-efficient practices. Topics include software development, hardware design, and energy-efficient practices across various computing environments such as HPC clusters, data centers, and cloud infrastructure. Energy efficiency is a growing challenge, particularly for Tier-2 centers with limited resources. This workshop fosters dialogue between Tier-0/1 and Tier-2 centers to adapt Tier-0/1 innovations for constrained budgets. It targets financial and technical solutions applicable to HPC clusters, data centers, and cloud infrastructures globally. Topics of Interest ---------------------------------- The workshop aims to benefit the broader community by sharing use cases, lessons learned, and best practices through descriptive papers. We solicit papers which encompass the following topics of interest but are not limited to: * Energy efficiency analysis in computing environments * Energy-aware software optimization techniques for HPC & AI * Energy-efficient hardware architectures and practices for HPC & AI * Energy-efficient scheduling and resource management * Energy-efficient data center administration and operation * Metrics for energy-efficient sustainable performance * Cluster-wide energy benchmarking with continuous regression analysis * Energy modeling, measurement, and behavioral insights for CPUs and GPUs * Tools for power and energy monitoring, management, and control * Renewable energy sources for HPC systems * Emerging trends and future challenges in energy consumption (e.g., AI and machine learning workloads) Format and Proceedings ---------------------------------- Papers should be either short (work-in-progress, 6 pages) or regular (12 pages), including references and appendices, with an option for two additional pages after review to address reviewer feedback. Each submission will undergo a minimum of three single-blind peer reviews. Review criteria will include the originality, technical soundness, potential impact, significance, and quality of presentation. Papers must be submitted online via the EasyChair system in PDF format, using the Springer Lecture Notes in Computer Science (LNCS) template. The accepted papers will be published along with the ISC proceedings as part of the Springer LNCS series. Sincerely, Workshop General Chair ---------------------------------- Ayesha Afzal - Erlangen National High Performance Computing Center (NHR at FAU) Program Co-Chairs ---------------------------------- Sarah Neuwirth - Johannes Gutenberg University Mainz Natalie Bates - Energy Efficient HPC Working Group (EE HPC WG) Siddhartha Jana - Intel Proceedings Chair ---------------------------------- Radita Liem - RWTH Aachen University Program Committee ---------------------------------- https://ayeshaafzal91.github.io/eesp/index.html#organization Collaborators ---------------------------------- Erlangen National High Performance Computing Center (NHR at FAU) Energy Efficient HPC Working Group (EE HPC WG) Contact ---------------------------------- Please contact workshop General Chair Ayesha Afzal for any inquiries: ayesha.afzal at fau.de. -- Ayesha Afzal Research Division, Erlangen National High Performance Computing Center (NHR at FAU) Friedrich-Alexander-Universit?t Erlangen-N?rnberg (FAU) Martensstrasse 3, 91058 Erlangen, Germany Zoom: https://go-nhr.de/AA Profile: https://hpc.fau.de/person/ayesha-afzal Website: https://sites.google.com/view/Ayesha-Afzal -- Geoff Kuenning geoff at cs.hmc.edu https://www.cs.hmc.edu/~geoff/ If we knew what we were doing, it wouldn't be research, would it? -- Albert Einstein From ece-its-ml-storage-research-list at andrew.cmu.edu Mon Jan 6 03:50:38 2025 From: ece-its-ml-storage-research-list at andrew.cmu.edu ('Tumeo, Antonino' via ECE Storage Research List) Date: Mon, 6 Jan 2025 08:50:38 +0000 Subject: [Storage-research-list] [CFP] GrAPL 2023: Workshop on Graphs: Architectures, Programming, and Learning - co-located with IPDPS 2023 Message-ID: <6D84AC44-992D-4727-B5EC-7D101F577EC5@pnnl.gov> [Please accept our apologies for multiple postings.] CALL FOR PAPERS ******************************************************************************* GrAPL 2025: Workshop on Graphs, Architectures, Programming, and Learning https://hpc.pnl.gov/grapl/ June 4, 2025 Co-Located with IPDPS 2025 Politecnico di Milano, Milano, IT ****************************************************************************** Data analytics is one of the fastest growing segments of computer science. Many real-world analytic workloads combine graph and machine learning methods. Graphs play an important role in the synthesis and analysis of relationships and organizational structures, furthering the ability of machine-learning methods to identify signature features. Given the difference in the parallel execution models of graph algorithms and machine learning methods, current tools, runtime systems, and architectures do not deliver consistently good performance across data analysis workflows. In this workshop we are interested in graphs, how their synthesis (representation) and analysis is supported in hardware and software, and the ways graph algorithms interact with machine learning. The workshop?s scope is broad and encompasses the wide range of methods used in large-scale data analytics workflows. This workshop seeks papers on the theory, model-based analysis, simulation, and analysis of operational data for graph analytics and related machine learning applications. In particular, we are interested, but not limited to the following topics: * Provide tractability and performance analysis in terms of complexity, time-to-solution, problem size, and quality of solution for systems that deal with mixed data analytics workflows; * Investigate novel solutions for accelerating graph learning-based methods using methodologies such as graph neural networks and knowledge graphs; * Discuss graph programming models and associated frameworks such as GraphBLAS, Galois, Pregel, the Boost Graph Library, GraphChi, etc., for building large multi-attributed graphs; * Discuss how frameworks for building graph algorithms interact with those for building machine learning algorithms; * Discuss the convergence of graph analytics, frameworks, and graph databases; * Discuss hardware platforms specialized for addressing large, dynamic, multi-attributed graphs and associated machine learning; * Discuss the problem domains and applications of graph methods, machine learning methods, or both. Besides regular papers, short papers (up to four pages) describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. MPORTANT DATES --------------- Position or full paper submission: February 1, 2025 AoE Notification: February 28, 2025 Camera-ready: March 6, 2025 Workshop: June 4, 2025 PAPER SUBMISSIONS --------------- Submission site: https://ssl.linklings.net/conferences/ipdps/?page=Submit&id=GrAPLWorkshopFullSubmission&site=ipdps2025 Authors can submit two types of papers: Short papers (up to 4 pages) and long papers (up to 10 pages). All submissions must be single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. ORGANIZATION --------------- * General co-Chairs Nesreen K. Ahmed (Outshift by CISCO), nesahmed at cisco.com Manoj Kumar (IBM), manoj1 at us.ibm.com * Program co-Chairs Ariful Azad (Texas A&M University), ariful at tamu.edu Yllka Velaj (University of Vienna), yllka.velaj at univie.ac.at * GrAPL's Little Helpers Tim Mattson (Intel) Scott McMillan (CMU SEI) Antonino Tumeo (PNNL) * Technical Program Committee Sameh Abdulah, King Abdullah University of Science and Technology, SA Scott Beamer, University of California, Santa Cruz, US Vivek Bharadwaj, University of California, Berkeley, US Benjamin Brock, Intel, US Aditya Devarakonda, Wake Forest University, US Marquita Ellis, IBM TJ Watson, US S M Ferdous, Pacific Northwest National Laboratory, US Oded Green, NVIDIA, US Yuxi Hong, Lawrence Berkeley National Laboratory, US Md Taufique Hussain, Indiana University, US Abdullah Al Raqibul Islam, University of North Carolina at Charlotte, US Sourav Medya, University of Illinois Chicago, US Mihail Popov, French Institute for Research in Computer Science and Automation, FR Giulia Preti, CENTAI, IT Jason Riedy, AMD, US Ilie Sarpe, KTH Royal Institute of Technology, SE Oguz Selvitopi, Lawrence Berkeley National Laboratory, US Lorenzo Severini, Unicredit, IT Ana Lucia Varbanescu, University of Twente, NL Helen Xu, Georgia Institute of Technology Albert-Jan Yzelman, Huawei, CH Other Members TBD From sahilhassan at arizona.edu Wed Jan 8 09:30:00 2025 From: sahilhassan at arizona.edu (Hassan, Md Sahil - (sahilhassan)) Date: Wed, 8 Jan 2025 14:30:00 +0000 Subject: [Storage-research-list] Call for Papers: Thirty-Fourth IEEE Heterogeneity in Computing Workshop (HCW) Message-ID: *** Call for Papers *** Heterogeneity in Computing Workshop (HCW) 2025 June 4, 2025 Milan, Italy hcw-ipdps.org =========================================== Most modern computing systems are heterogeneous, either for organic reasons because components grew independently, as it is the case in desktop grids, or by design to leverage the strength of specific hardware, as it is the case in accelerated systems. In any case, all computing systems have some form of hardware or software heterogeneity that must be managed, leveraged, understood, and exploited. The Heterogeneity in Computing Workshop (HCW) is a venue to discuss and innovate in all theoretical and practical aspects of heterogeneous computing: design, programmability, efficient utilization, algorithms, modeling, applications, etc. HCW 2025 will be the thirty-fourth annual gathering of this workshop. HCW 2025 will be held in conjunction with the 39th IEEE International Parallel and Distributed Processing Symposium (ipdps.org). IEEE IPDPS 2025 is sponsored by the IEEE Computer Society through the Technical Committee on Parallel Processing (TCPP). **** Topics **** Topics of interest include but are not limited to the following areas: - Heterogeneous multicore systems and architectures: Design, exploration, and experimental analysis of heterogeneous computing systems such as Graphics Processing Units, heterogeneous systems-on-chip, Artificial Intelligence chips, Field Programmable Gate Arrays, big.LITTLE, and application-specific architectures. - Heterogeneous parallel and distributed systems: Design and analysis of computing grids, cloud systems, hybrid clusters, datacenters, geo-distributed computing systems, and supercomputers. - Deep memory hierarchies: Design and analysis of memory hierarchies with SRAM, DRAM, Flash/SSD, and HDD technologies; NUMA architectures; cache coherence strategies; novel memory systems such as phase-change RAM, magnetic (e.g., STT) RAM, 3D Xpoint/crossbars, and memristors. - On-chip, off-chip, and heterogeneous network architectures: Network-on-chip (NoC) architectures and protocols for heterogeneous multicore applications; energy, latency, reliability, and security optimizations for NoCs; off-chip (chip-to-chip) network architectures and optimizations; heterogeneous networks (combination of NoC and off-chip) design, evaluation, and optimizations; large-scale parallel and distributed heterogeneous network design, evaluation, and optimizations. - Programming models and tools: Programming paradigms and tools for heterogeneous systems; middleware and runtime systems; performance-abstraction tradeoff; interoperability of heterogeneous software environments; workflows; dataflows. - Resource management and algorithms for heterogeneous systems: Parallel algorithms for solving problems on heterogeneous systems (e.g., multicores, hybrid clusters, grids, or clouds); strategies for scheduling and allocation on heterogeneous 2D and 3D multicore architectures; static and dynamic scheduling and resource management for large-scale and parallel heterogeneous systems. - Modeling, characterization, and optimizations: Performance models and their use in the design of parallel and distributed algorithms for heterogeneous platforms; characterizations and optimizations for improving the time to solve a problem (e.g., throughput, latency, runtime); modeling and optimizing electricity consumption (e.g., power, energy); modeling for failure management (e.g., fault tolerance, recovery, reliability); modeling for security in heterogeneous platforms. - Applications on heterogeneous systems: Case studies; confluence of Big Data systems and heterogeneous systems; data-intensive computing; scientific computing. This year we wish to focus on and expand submissions and presentations in the following "hot topics" areas; therefore, we especially invite submissions in the following four areas: - Heterogeneous Integration of Quantum Computing: Design, exploration, and analysis of architectures and software frameworks enabling heterogeneous integration of classical computing and quantum computing (e.g., heterogeneous quantum computers, error correction, heterogeneous applications that use both classical and quantum logic, benchmarks for heterogeneous quantum computers). - Heterogeneity and Interoperability in Software & Data Systems: Design, exploration, and analysis of architectures and software frameworks for interoperability in software and data systems (e.g., semantic frameworks, interoperability for heterogeneous Internet-of-Things systems, model-driven frameworks). - Heterogeneous Computing for Machine Learning (ML) and Deep Learning (DL): Design, exploration, benchmarking, and analysis of accelerators and software frameworks for ML and DL applications on heterogeneous computing systems. - Closing the loop on the design of heterogeneous compilers, runtimes, and hardware: As the needs of heterogeneous hardware apply pressure on runtime designers to adjust for the complexities of heterogeneous resource management, runtimes are now applying pressure back towards compiler designers to include all relevant information -- such as data flow and dependency analysis or hardware-specific representations of application tasks -- in their binaries to enable resource management policies to arbitrate effectively. Advancements in machine understanding of code are critical in enabling progress here with a holistic view of compilers, runtimes and heterogeneous hardware. **** Important Dates **** - Abstract submission (required): January 23, 2025 - Paper submission: January 30, 2025 - Author notification: February 20, 2025 - Camera-ready submission: March 6, 2025 **** Paper Submissions **** Manuscripts submitted to HCW 2025 should not have been previously published or be under review for a different workshop, conference, or journal. Submissions must use the latest IEEE manuscript templates for conference proceedings (http://ieee.org/conferences/publishing/templates.html). Submissions may not exceed a total of ten single-spaced double-column pages using 10-point size font on 8.5x11 inch pages. The page limit includes figures, tables, and references. A single-blind review process will be followed. Files should be submitted by following the instructions at the IPDPS 2025 submission site (http://ssl.linklings.net/conferences/ipdps). New this year, we plan to recognize an outstanding HCW 2025 publication with a Best Paper Award. The Best Paper Award will be determined by taking into account the recommendations provided by the Technical Program Committee, along with detailed evaluations of the paper's originality, significance, and overall quality. **** Workshop Organization **** General Co-Chairs: DK Panda and Hari Subramoni, The Ohio State University, USA Technical Program Committee Chair: Ali Akoglu, University of Arizona, USA Questions may be sent to the HCW 2025 General Co-Chairs (DK Panda: panda.2 at osu dot edu, Hari Subramoni: subramoni.1 at osu dot edu) or Technical Program Committee Chair (Ali Akoglu: akoglu at arizona dot edu). Technical Program Committee: (Partial list, last updated Dec 17, 2024) - Shashank Adavally, Micron Technology, USA - Mohsen Amini Salehi, University of North Texas, USA - Mehmet Belviranli, Colorado School of Mines, USA - Gonzalo Brito Gadeschi, NVIDIA Corporation, Germany - Nick Brown, University of Edinburgh, Scotland - Daniel Cordeiro, University of Sao Paulo, Brazil - Matthias Diener, University of Illinois, USA - Murali Emani, Argonne National Laboratory, USA - Jiri Filipovic, Masaryk University, Czech Republic - Abdou Guermouche, University of Bordeaux, France - Yanfei Guo, Argonne National Laboratory, USA - Diana Goehringer, Technical University Dresden, Germany - Emmanuel Jeannot, INRIA, France - Krishna Kavi, University of North Texas, USA - Georgios Keramidas, Aristotle University, Greece - Joongheon Kim, Korea University, Korea - Alexey Lastovetsky, University College Dublin, Ireland - Seyong Lee, Oak Ridge National Laboratory, USA - Laercio Lima Pilla, CNRS, France - Hatem Ltaief, King Abdullah University of Science and Technology, Saudi Arabia - Joshua Mack, Praetorian, USA - Joseph Manzano, Pacific Northwest National Laboratory, USA - Matthias Mueller, Aachen University, Germany - Sridhar Radhakrishnan, University of Oklahoma, USA - Jose Rufino, Polytechnic Institute of Braganca, Portugal - Aamir Shafi, The Ohio State University, USA - Sameer Shende, University of Oregon; ParaTools, Inc., USA - Achim Streit, Karlsruhe Institute of Technology, Germany - Shubbhi Taneja, Worcester Polytechnic Institute, USA - Claire Vishik, Intel, USA - Logan Ward, Argonne National Laboratory, USA Steering Committee: - Kamesh Madduri, Pennsylvania State University, USA (Chair) - Behrooz Shirazi, National Science Foundation, USA (Immediate Past Chair) - H. J. Siegel, Colorado State University, USA (Past Chair) - John Antonio, University of Oklahoma, USA - David Bader, New Jersey Institute of Technology, USA - Anne Benoit, ENS Lyon, France - Jack Dongarra, University of Tennessee, USA - Alexey Lastovetsky, University College Dublin, UK - Sudeep Pasricha, Colorado State University, USA - Viktor K. Prasanna, University of Southern California, USA - Yves Robert, ENS Lyon, France - Erik Saule, University of North Carolina at Charlotte, USA - Uwe Schwiegelshohn, TU Dortmund University, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From marialemos72 at gmail.com Mon Jan 13 08:30:13 2025 From: marialemos72 at gmail.com (CISTI-2025) Date: Mon, 13 Jan 2025 13:30:13 +0000 Subject: [Storage-research-list] Doctoral Symposium of CISTI'2025| Lisbon, Portugal Message-ID: <3232336611656@gmail-com> ------------------------------------- DOCTORAL SYMPOSIUM ------------------------------------- CISTI'2025 - 20th Iberian Conference on Information Systems and Technologies, Lisbon, Portugal 16 - 19 June 2025 https://www.cisti.eu/ ---------------------------------------------------------------------------------------------- The purpose of CISTI'2025?s Doctoral Symposium is to provide graduate students a setting where they can, informally, expose and discuss their work, collecting valuable expert opinions and sharing new ideas, methods and applications. The Doctoral Symposium is an excellent opportunity for PhD students to present and discuss their work in a Workshop format. Each presentation will be evaluated by a panel composed by at least three Information Systems and Technologies experts. CONTRIBUTIONS SUBMISSION The Doctoral Symposium is opened to PhD students whose research area includes the themes proposed for this Conference. Submissions must include an extended abstract (maximum 4 pages), following the Conference style guide. All selected contributions will be published with the Conference Proceedings in electronic format with ISBN. These contributions will be available in the IEEE Xplore Digital Library and will be sent for indexing in ISI, Scopus, EI-Compendex, INSPEC and Google Scholar. Submissions must include the field, the PhD institution and the number of months devoted to the development of the work. Additionally, they should include in a clear and succinct manner: ? The problem approached and its significance or relevance ? The research objectives and related investigation topics ? A brief display of what is already known ? A proposed solution methodology for the problem ? Expected results IMPORTANT DATES Paper submission: February 17, 2025 Notification of acceptance: April 4, 2025 Submission of accepted papers: April 14, 2025 Payment of registration, to ensure the inclusion of an accepted paper in the conference proceedings: April 14, 2025 ORGANIZING COMMITTEE ?lvaro Rocha, ISEG, University of Lisbon, PT Francisco Garc?a-Pe?alvo, University of Salamanca, ES SCIENTIFIC COMMITTEE Francisco Garc?a-Pe?alvo, Universidad de Salamanca, ES (Chair) A. Augusto Sousa, FEUP/INESCTEC, PT Ad?rito Fernandes-Marcos, University of Saint Joseph in Macau, MO Adolfo Lozano Tello, Universidad de Extremadura, ES Alicia Garc?a-Holgado , Universidad de Salamanca, ES Alma G?mez-Rodr?guez, Universidade de Vigo, ES ?lvaro Rocha, ISEG, University of Lisbon, PT Ant?nio Palma dos Reis, ISEG, University of Lisbon, PT Arturo J. M?ndez, Universidade de Vigo, ES Borja Bordel, Technical University of Madrid, ES Carlos J. Costa, ISEG, University of Lisbon, PT Carlos Ferr?s Sexto, University of Santiago de Compostela, ES Cesar Collazos, Universidad del Cauca, CO David Fonseca, La Salle, Ramon Llull University, ES Fernando Moreira, Portucalense University, PT Gon?alo Paiva Dias, University of Aveiro, PT Isabel Pedrosa, ISCAC, Polytechnic University of Coimbra, PT Jo?o Paulo Costa, University of Coimbra, PT Luis Camarinha-Matos, NOVA University Lisbon, PT Manuela Aparicio, NOVA IMS, PT Mar?a J Lado, University of Vigo, ES Maria Jos? Sousa, ISCTE - Instituto Universit?rio de Lisboa, PT M?rio Piattini, University of Castilla-La Mancha, ES Maristela Holanda, Universidade de Bras?lia, BR Martin Llamas Nistal, Universidade de Vigo, ES Mart?n L?pez Nores, University of Vigo, ES Mercedes Ruiz, University of Cadiz, ES Miguel A. Brito, University of Minho, PT Miguel Casquilho, University of Lisbon, PT Miguel de Castro Neto, NOVA IMS, PT Miguel Ram?n Gonz?lez Castro, Centro Tecnol?gico Aimen, ES ?scar Mealha, University of Aveiro, PT Paula Prata, Universidade da Beira Interior, PT Paulo Urbano, FC, University of Lisbon, PT Pedro Ara?jo, Universidade da Beira Interior, PT Pedro Sousa, University of Minho, PT Ramiro Gon?alves, University of Tr?s-os-Montes e Alto Douro, PT Rui Pedro Lourenco, University of Coimbra, PT Rui Quaresma, Universidade de ?vora, PT Rui Santos Cruz, IST, University of Lisbon, PT Sergio Moro, ISCTE - Instituto Universit?rio de Lisboa, PT We are counting on you. Submit your contribution. Webpage: https://www.cisti.eu/ CISTI'2025 Team https://www.cisti.eu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: