RISC-V PPAM 2024 : First PPAM Workshop on RISC-V

Co-located with PPAM 2024, this is the first edition of workshops devoted to all aspects of the RISC-V technology with a special emphasis on high-performance computing (HPC), edge computing, and AI/ML

Background

The goal of this workshop is to continue building the community of RISC-V technology, sharing the benefits of this technology with computer science specialists and domain scientists. RISC-V is an open standard Instruction Set Architecture (ISA) that enables the royalty-free development of CPUs and a common software ecosystem. Following this community-driven ISA standard, a very diverse set of CPUs suited to a range of workloads have been, and continue to be, developed. While RISC-V has already become very popular in some fields, like automotive, embedded and edge computing, it has yet to gain traction in general-purpose computing, including HPC, and AI/ML. In particular, recent advances in RISC-V make it a more realistic proposition for HPC workloads than ever before. An example is the vectorization extension, which provides essential performance advantages for HPC workloads but was only standardized in early 2022, so we are only now seeing mature CPUs that fully implement this extension.

By sharing the benefits of the architecture, success stories, and techniques, the first edition of this Workshop aims to popularize RISC-V among the PPAM community, bringing together specialists involved in developing RISC-V hardware/software and those looking to exploit the potential of new computer architectures in a broad spectrum of domains, including general-purpose computing, HPC, embedded and edge computing, AI/ML, etc.

This Workshop is organized in technical cooperation with Codasip company and Barcelona Supercomputing Center (BSC). In particular, a keynote talk by Filippo Mantovani from BSC will introduce the Workshop thematics.

Topics of interest for the Workshop include (but are not limited to):
• RISC-V hardware/software ecosystem,
• Novel hardware and accelerators built on RISC-V,
• Tools, compilers, libraries, and techniques to support the use of RISC-V for HPC,
• RISC-V in general-purpose computing, HPC, AI/ML, embedded and edge computing,
• Porting of codes to RISC-V, including benchmarking,
• Scientific and industrial use cases and case studies that use RISC-V
• Industry papers related to RISC-V

 
Paper Submission and Publication

All rules of paper submission of the PPAM 2024 conference apply. In particular:
• Papers will be refereed and accepted based on their scientific merit and relevance to the Workshop topics.
• Papers presented at the Workshop will be included in the conference proceedings and published by Springer in the LNCS series after the conference.
• Before the Workshop, abstracts of accepted papers will be posted on this site.
• Authors should submit papers (PDF files) using the online submission tool.
• Papers are not to exceed 14 pages (LNCS style).
• Alternatively, abstracts delivering original works are invited to be presented at the Workshop. They should be prepared according to the Springer LNCS format on 2 pages. Accepted abstracts will be posted on the workshop site before the conference.

Best paper award:
A special award including 400 euros will be awarded to the authors of the best paper/presentation.

Important Dates

Paper due: May 7, 2024
Notification of acceptance: June 17, 2024
Workshop: September 9-10, 2024
Camera-ready: November 2, 2024

Workshop Chairs

Roman Wyrzykowski - Czestochowa University of Technology, Poland
[email protected]

Lubomir Riha - IT4Innovations, Technical University of Ostrava, Czech Republic
[email protected]

Program Committee (non-final list)

Denis Dutoit - CEA, France
Andreas Herten - Forschungszentrum Juelich, Germany
Aleksandar Ilic - Technical University of Lisbon, Portugal
Filippo Mantovani - Barcelona Supercomputing Center, Spain
Manolis Marazakis - University of Crete, Greece
Norbert Meyer – Poznan Supercomputing andNetworking Center, Poland
Tadej Murovic - Codasip, Czech Republic
Tomasz Olas - Czestochowa University of Technology, Poland
Paweł Gepner - Warsaw University of Technology, Poland
Estela Suarez - Forschungszentrum Juelich, Germany
Lilia Zaourar - CEA, France