TY  - CONF
AU  - Tsai, Yu-Hsiang
AU  - Bode, Mathis
AU  - Anzt, Hartwig
TI  - What Will the Grace Hopper-Powered Jupiter Supercomputer Bring for Sparse Linear Algebra?
CY  - New York, NY, USA
PB  - ACM New York, NY, USA
M1  - FZJ-2026-00840
SP  - 228 - 235
PY  - 2026
AB  - The first exascale supercomputer in Europe, JUPITER, is currently being built using the NVIDIA Grace Hopper superchips as main building blocks. JUPITER is designed to provide computing power for both data-driven (AI) workloads and numerics-based simulation workloads. For both workload types, and particularly for PDE-based simulations, high-performance sparse linear algebra operations are crucial. In this paper, we analyze the performance levels that sparse linear algebra operations can achieve on the JUPITER supercomputer and identify algorithmic modifications that can improve performance by acknowledging the Grace Hopper architecture.
T2  - SCA/HPCAsia 2026: Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region
CY  - 26 Jan 2026 - 29 Jan 2026, Osaka (Japan)
Y2  - 26 Jan 2026 - 29 Jan 2026
M2  - Osaka, Japan
LB  - PUB:(DE-HGF)8
DO  - DOI:10.1145/3773656.3773691
UR  - https://juser.fz-juelich.de/record/1052213
ER  -