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۱۸ شهریور - ۲۱ شهریور ۱۴۰۳

رتبه: National: Poland (CORE2023)Offline

International Conference on Parallel Processing and Applied Mathematics

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The 15th International Conference on Parallel Processing and Applied Mathematics (PPAM 2024) celebrates its 30th anniversary and will take place in Ostrava, Czech Republic, from September 8-11, 2024. The conference focuses on parallel and distributed processing, applied mathematics, and high-performance computing, including AI/ML approaches. Proceedings are published by Springer in the LNCS series and indexed in major databases. PPAM 2024 is primarily an in-person event with networking and social programs, though remote participation is possible.

فراخوان مقالات

PPAM 2024: Call for Papers

The 15th International Conference on Parallel Processing and Applied Mathematics (PPAM 2024) celebrates its 30th Anniversary and is scheduled to take place in Ostrava, Czech Republic, from September 8-11, 2024.

The conference is organized by the Department of Computer Science of the Czestochowa University of Technology in cooperation with the Faculty of Electrical Engineering and Computer Science and IT4Innovations National Supercomputing Center of the Technical University of Ostrava. It is held under the honorary patronage of the city of Ostrava.

Overview

PPAM 2024 covers topics in parallel and distributed processing, including theory and applications, as well as applied mathematics. The focus is on models, algorithms, and software tools for efficient utilization of modern parallel and distributed computing architectures, and large-scale applications. Special attention will 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 proceedings published by Springer in the Lecture Notes in Computer Sciences (LNCS) series. The proceedings are indexed in major databases such as Web of Science, Scopus, and DBLP.

PPAM 2024 is expected to be an in-person conference with the possibility of remote participation. However, in-person participation is strongly encouraged due to the conference's compelling networking aspects and social/cultural program. Organizers will provide shuttles between Krakow airport and conference hotels in Ostrava.

Topics of Interest (Preliminary List)

  • 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)

  • Ivona Brandic (Vienna University of Technology, Austria)
  • Vincenzo De Maio (Vienna University of Technology, Austria)
    • "Building Blocks of Quantum-Accelerated Supercomputing"
  • Suma George Cardwell (Sandia National Laboratories, USA)
    • "Neuromorphic Computing: Towards Brain-like Energy Efficiency"
  • Jack Dongarra (University of Tennessee and ORNL, USA)
    • "Hits, Flops, and More"
  • Anshu Dubey (Argonne National Laboratory, USA)
    • "Design, Code-generation, and Synthesis for Next Generation Science Codes"
  • Lin Gan (Tsinghua University & National Supercomputing Center in Wuxi, China)
    • "Extreme Scale Earthquake Simulation with Crossing Multi-faults and Topography"
  • Torsten Hoefler (ETH Zurich, Switzerland)
    • "AI for High-Performance Climate and Earth Virtualization Engines"
  • Klaus Jansen (University of Kiel, Germany)
    • "New Algorithmic Results for Scheduling via Integer Linear Programming"
  • Dieter Kranzlmüller (Leibniz Supercomputing Centre (LRZ) and Ludwig-Maximilians-Universität Munich (LMU), Germany)
  • Jesus Labarta (Barcelona Supercomputing Center, Spain)
    • "Pushing RISC-V into HPC"
  • Filippo Mantovani (Barcelona Supercomputing Center, Spain)
    • "A RISC-V vector CPU for High-Performance Computing: architecture, platforms and tools to make it happen"
  • Satoshi Matsuoka (RIKEN Center for Computational Science, Japan)
    • "Beyond Fugaku/Exascale--- Evolving Computing Towards the Next Generation at Riken R-CCS: AI for Science TRIP-AGIS, JHPC-Quantum, and FugakuNEXT"
  • Dhabaleswar K. Panda (Ohio State University, USA)
    • "Designing Converged Middleware for HPC, AI, Big Data, and Data Science"
  • Manish Parashar (University of Utah, USA)
    • "From the Edge to HPC – Harnessing the Computing Continuum for Science"
  • Massimiliano Lupo Pasini (Oak Ridge National Laboratory, USA)
    • "Overview of Oak Ridge National Laboratory’s AI Initiative: Advancing Secure, Trustworthy, and Energy-Efficient AI at Scale for Scientific Discovery"
  • Olga Pearce (Lawrence Livermore National Laboratory, USA)
    • "Collaborative continuous benchmarking for HPC"
  • John Shalf (Lawrence Berkeley National Laboratory, LBNL, USA)
    • "Investigating Chiplets for Scalable and Cost Effective HPC Beyond Exascale"
  • Amarda Shehu (George Mason University, USA)
    • "Strengthening AI to Enable Scientific Discovery"
  • Michela Taufer (University of Tennessee, USA)
    • "Analytics4NN: Accelerating Neural Architecture Search through Modeling and High-Performance Computing Techniques"
  • Juris Ulmanis (Alpine Quantum Technology (AQT), Austria)
    • "Bridging the gap: quantum accelerators for HPC"
  • Gabriele Paciucci (Nvidia, Principal Solution Architect EMEA)
    • "How to Harness the Power of High-Performance Computing for Machine Learning and Artificial Intelligence"
  • Vineet Tyagi (Supermicro, System Architekt EMEA)
    • "How to Harness the Power of High-Performance Computing for Machine Learning and Artificial Intelligence"
  • Utz-Uwe Haus (Hewlett Packard Enterprise)
    • "Digitial Twins – Past, Present and a Challenging Future "

Workshops, Minisymposia, Special Sessions (Tentative List)

  • 7th Workshop on Models, Algorithms, and Methodologies for Hybrid Parallelism in New HPC Systems
  • 10th Workshop on Language-Based Parallel Programming Models
  • 10th Workshop on Scheduling for Parallel Computing
  • Second Workshop on Quantum Computing and Communication
  • Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing
  • First PPAM Workshop on RISC-V
  • Workshop on Energy Efficient Operation of HPC Systems (EEOHPC)
  • 5th Workshop on Applied High Performance Numerical Algorithms for PDEs
  • Special Session on Parallel SVD/EVD and its Application in Matrix Computations
  • 6th Minisymposium of HPC Applications in Physical Science
  • 9th Minisymposium on High Performance Computing Interval Methods
  • 8th Workshop on Complex Collective Systems
  • Workshop on Advancements of Global Challenges Applications

Tutorials (Non-final List)

  • Core-Level Performance Engineering with the Open-Source Architecture Code Analyzer (OSACA) - by University of Erlangen-Nuremberg, Germany
  • Quantum Computing - by Poznan Supercomputing and Networking Center
  • RISC-V for High Performance Computing - by Barcelona Supercomputing Center
  • Rapid Application Development with Large Language Models (LLMs) - by Jan Kwapisz, Warsaw University (NVIDIA Certified Course).

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).
  • Papers will be refereed and accepted on the basis of their scientific merit and relevance.
  • Abstracts of accepted papers will be available during the conference.
  • Only papers presented at PPAM 2024 will be included into the proceedings.
  • The proceedings are planned to be published after the conference by Springer in the LNCS series.
  • Instructions for Camera-Ready Papers are available: Author's Instructions

Journal Special Issues

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

Important Dates

  • Submission of Papers: April 30, 2024 (Extended to May 17, 2024)
  • Notification of Acceptance: June 7, 2024 (Extended to June 21, 2024)
  • Camera-Ready Papers: October 31, 2024 (Extended to November 8th, 2024)

Organizers

  • Chair of Program Committee: Roman Wyrzykowski (Czestochowa University of Technology, Poland)
  • Co-Chair of Program Committee: Ewa Deelman (University of Southern California, USA)

Contact

prof. Roman Wyrzykowski
Phone: +48 668 476 840
Fax: +48 34 3250 589
e-mail: roman@icis.pcz.pl

Department of Computer Science
Czestochowa University of Technology
Dabrowskiego 69,
42-201 Czestochowa, Poland

تاریخ‌های مهم

تاریخ‌های کنفرانس

Conference Date

۱۸ شهریور ۱۴۰۳۲۱ شهریور ۱۴۰۳

ارسال مقاله

Submission of Papers

۲۸ اردیبهشت ۱۴۰۳

اعلان

Notification of Acceptance

۱ تیر ۱۴۰۳

نسخه نهایی

Camera-Ready Papers

۱۰ آبان ۱۴۰۳

رتبه منبع

منبع: CORE2023

رتبه: National: Poland

حوزه پژوهشی: Distributed computing and systems software

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