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All CFPs on WikiCFP | |||||||||||||||||||||||||||||||||||||||
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Present CFP : 2024 | |||||||||||||||||||||||||||||||||||||||
Due to multiple requests, the PPAM 2024 paper submission deadline is extended
to May 17, 2024. For workshops and minisymposia the deadline is extended as well. The PPAM 2024 conference, the fifteenth in a series, will cover topics in parallel and distributed computing, including theory and applications, as well as applied mathematics. The focus will be on models, algorithms, and software tools that facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications. Special attention is expected to be given to the future of computing beyond Moore's Law and AI/ML approaches in high performance computing. PPAM is a biennial conference started in 1994, with the proceedings published by Springer in the Lecture Notes in Computer Sciences series. Next year, the PPAM conference will take place in Ostrava, a city in the northeast of the Czech Republic and the capital of the Moravian-Silesian Region. PPAM 2024 is expected to be an in-person conference with the possibility of remote participation. However, we strongly encourage in-person participation, as PPAM also has very compelling networking aspects and a social and cultural program. Topics of interest include, but are not limited to: - Parallel/distributed architectures, enabling technologies - Quantum computing and communication - Neuromorphic computing - Computing beyond Moore's Law - Cluster, cloud, edge and fog computing - Multi-core and many-core parallel computing, GPU computing - Heterogeneous/hybrid computing and accelerators - Parallel/distributed algorithms: numerical and non-numerical - Scheduling, mapping, load balancing - Performance analysis and prediction - Performance issues on various types of parallel systems - Auto-tuning and auto-parallelization: methods, tools, and applications - Power and energy aspects of computation - Parallel/distributed programming - Tools and environments for parallel/distributed computing - Security and dependability in parallel/distributed environments - HPC numerical linear algebra - HPC methods of solving differential equations - Evolutionary computing, meta-heuristics and neural networks - Machine learning, artificial intelligence, and HPC - HPC interval analysis - Applied computing in mechanics, material processing, biology and medicine, physics, chemistry, business, environmental modeling, etc. - Applications of parallel/distributed computing - Methods and tools for parallel solution of large-scale problems, including artificial intelligence and machine learning applications KEYNOTE SPEAKERS (tentative list) Prasanna Balaprakash Oak Ridge National Laboratory, USA Ivona Brandic Vienna University of Technology, Austria Suma George Cardwell Sandia National Laboratory, USA Jack Dongarra University of Tennessee and ORNL, USA Anshu Dubey Argonne National Laboratory, USA Lin Gan Tsinghua University & National Supercomputing Center in Wuxi, China Torsten Hoefler ETH Zurich, Switzerland Klaus Jansen University of Kiel, Germany Jesus Labarta Barcelona Supercomputing Center, Spain Satoshi Matsuoka Tokyo Institute of Technology, Japan Filippo Mantovani Barcelona Supercomputing Center, Spain Thomas Monz University of Innsbruck & Alpine Quantum Technologies, Austria Dhabaleswar K. Panda Ohio State University Manish Parashar University of Utah, USA Olga Pearce Lawrence Livermore National Laboratory, USA John Shalf Lawrence Berkeley National Laboratory, USA Amarda Shehu George Mason University, USA Michela Taufer University of Tennessee, USA WORKSHOPS, MINISYMPOSIA, SPECIAL SESSIONS (preliminary list) - Workshop on Models, Algorithms and Methodologies for Hierarchical Parallelism in New HPC Systems - Workshop on Language-Based Parallel Programming Models - Workshop on Quantum Computing and Communication - Workshop on Scheduling for Parallel Computing - Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing - Workshop on Advancements of Global Challenges Applications - Workshop on Applied High Performance Numerical Algorithms for PDEs - Minisymposium of HPC Applications in Physical Science - Minisymposium on High Performance Computing Interval Methods - Workshop on Complex Collective Systems PAPER SUBMISSION AND PUBLICATION Original papers are invited for the conference. Authors should submit full papers using the EasyChair system. Regular papers are not to exceed 14 pages (LNCS style). Articles will be refereed and accepted based on their scientific merit and relevance to the conference topics. Abstracts of accepted papers will be available as a brochure during the conference. Only papers presented at PPAM 2024 will be included in the proceedings, which are planned to be published after the conference by Springer in the LNCS series. JOURNAL SPECIAL ISSUES Like the previous PPAM editions, the authors of the best papers selected by the Program Committee will be invited to submit extended versions of their work to special issues of journals with Impact Factor such as Future Generation Computer Systems; Int. Journal of High Performance Computing Applications; Concurrency and Computation: Practice and Experience. CONTACT Roman Wyrzykowski Czestochowa University of Technology, Poland e-mail: roman@icis.pcz.pl, phone: +48 668 476 840 Ewa Deelman University of Southern California, USA e-mail: deelman@isi.edu IMPORTANT DATES Submission of Papers: May 17, 2024 Notification of Acceptance: June 21, 2024 Camera-Ready Papers: Nov. 2, 2024 | |||||||||||||||||||||||||||||||||||||||
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