International Workshop on Arm-based HPC: Practice and Experience (IWAHPCE-2024)

to be held in conjunction with The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2024), Japan, Jan 25 - 27, 2024

Workshop Overview

This workshop aims to provide the opportunity to share the practice and experience of high-performance computing systems using the Arm architecture and their performance and applications.The last few years have seen an explosion of 64-bit Arm-based processors targeted toward server and infrastructure workloads, often specializing in a specific domain such as HPC, cloud, and machine learning. Fujitsu’s A64FX and Marvell’s ThunderX2 have been used in several large-scale HPC systems, and Amazon’s Graviton2 has been adopted by Amazon EC2. Moreover, Amazon’s Graviton3, NVIDIA Grace CPU Superchip, and SiPearl’s Rhea system-on-chip are recently announced or become accessible.Sharing the practice and experiences using these Arm-based processors will contribute to advancing high-performance computing technology for newly designed systems using these new emerging Arm-based processors.

Topics

In particular, this workshop will focus on the following topics of interest:

• HPC Applications
• Performance Analysis, Performance Modeling & Measurement
• SVE Vectorization analysis
• Programming Models & System Softoware
• Networking and accelerators such as GPUs
• Artificial Intelligence and Machine Learning
• Emerging Technologies

Paper Submissions

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers Manuscripts must be at most 18 pages in one-column submission PDF format including figures and references
• Short papers Manuscripts must be at most 10 pages in one-column submission PDF format including figures and references
• The paper format is described in the Paper Submission section of HPCAsia2024

Please note that the paper format for the submission (one-column) is different from the one of the camera ready (2-column). Fore more detail, please refer https://www.acm.org/publications/authors/submissions

All submissions will be peer-reviewed by the PC members. Papers will be accepted to presentations in a workshop. The review process is double-blind.

Workshop Program (tentative)

• 09:00-09:05 Opening, Miwako Tsuji
• 09:05-09:15 David Lecomber (Arm)
• 09:15-09:45 Invited talk, Ryohei Okazaki, “Next Arm Processor FUJITSU-MONAKA and Its Technologies”
• 09:45-10:10 Masaki Arai, Naoto Fukumoto and Hitoshi Murai, “Introducing software pipelining for the A64FX processor into LLVM” (slide)

• 10:10-10:35 Romain Pereira, Adrien Roussel, Miwako Tsuji, Patrick Carribault,Mitsuhisa Sato, Hitoshi Murai and Thierry Gautier “An Overview on Mixing MPI and OpenMP Dependent Tasking on A64FX” (slide)

• 10:35-10:50 break

• 10:50-11:15 Filippo Barbari, Federico Ficarelli and Daniele Cesarini “High-throughput drug discovery on the Fujitsu A64FX architecture” (slide)
• 11:15-11:40 Yan Kang, Sayan Ghosh, Mahmut Kandemir and Andrés Marquez, “Impact of Write-Allocate Elimination on Fujitsu A64FX” (slide)
• 11:40-12:05 Nikolay A. Simakov, Matthew D. Jones, Thomas R. Furlani, Eva Siegmann and Robert J. Harrison, “First Impressions of the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchip for Scientific Workloads” (slide)
• 12:05-12:30 Fabio Banchelli, Joan Vinyals-Ylla-Catala, Josep Pocurull, Marc Clascà, Kilian Peiro, Filippo Spiga, Marta Garcia-Gasulla and Filippo, “NVIDIA Grace Superchip Early Evaluation for HPC Applications” (slide)

Submission site

Submissions via EasyChair https://easychair.org/conferences/?conf=iwahpce2024

Important dates

• submission deadline: 27 Oct. 14 Nov. 20 Nov. (AOE)
• notification : 17 Nov. 5 Dec. 6 Dec. (AOE)
• camera ready: 7 Dec. 12 Dec. (AOE)

Organizers and Program Committee

Organizer and Workshop Chair

• Miwako Tsuji, RIKEN R-CCS
• Eva Siegmann, Stony Brook University
• Filippo Spiga, NVIDIA

Program Committee

• Adrian Jackson, The University of Edinburgh
• Daisuke Miyamoto, Amazon Web Services Japan G.K.
• Estela Suarez , JSC
• Eva Siegmann, Stony Brook University
• Filippo Spiga, NVIDIA
• Gilles Fourestey, EPFL
• Iacopo Colonnelli, University of Turin
• Jens Domke, RIKEN R-CCS
• Luca Fedeli, CEA
• Marco Aldinucci , University of Turin
• Min Li, Huawei
• Miwako Tsuji, RIKEN R-CCS
• Shinji Sumimoto, The University of Tokyo
• Tetsuya Odajima, Fujitsu
• Tom Deakin , University of Bristol
• Wael Elwasif, ORNL
• Yuetsu Kodama, RIKEN R-CCS