Application-Driven Exascale: The JUPITER Benchmark Suite
Authors:
- 17 November 2024
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-45
Abstract
Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real applications that represent user requirements into benchmark suites, to guarantee high usability and widespread adoption of a new system. Given the significant investments in leadership-class supercomputers of the exascale era, this is even more important and necessitates alignment with a vision of Open Science and reproducibility. In this work, we present the JUPITER Benchmark Suite, which incorporates 16 applications from various domains. It was designed for and used in the procurement of JUPITER, the first European exascale supercomputer. We identify requirements and challenges and outline the project and software infrastructure setup. We provide descriptions and scalability studies of selected applications and a set of key takeaways. The JUPITER Benchmark Suite is released as open source software with this work at github.com/FZJ-JSC/jubenchKeywords
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This publication has 67 references indexed in Scilit:
- Leveraging HPC accelerator architectures with modern techniques — hydrologic modeling on GPUs with ParFlowComputational Geosciences, 2021
- Performance Comparison for Neuroscience Application Benchmarks2019
- Evaluating Performance Portability of Accelerator Programming Models using SPEC ACCEL 1.2 Benchmarks2018
- NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model2015
- SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance2015
- Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS2015
- The ICON (ICOsahedral Non‐hydrostatic) modelling framework of DWD and MPI‐M: Description of the non‐hydrostatic dynamical coreQuarterly Journal of the Royal Meteorological Society, 2014
- The LINPACK Benchmark: past, present and futureConcurrency and Computation: Practice and Experience, 2003
- GROMACS: A message-passing parallel molecular dynamics implementationComputer Physics Communications, 1995
- Spectral methods for problems in complex geometriesJournal of Computational Physics, 1980