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Application-Driven Exascale: The JUPITER Benchmark Suite

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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 https://github.com/FZJ-JSC/jubench.

fields

cs.DC 1

years

2024 1

verdicts

CONDITIONAL 1

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Energy-aware operation of HPC systems in Germany

cs.DC · 2024-11-25 · conditional · novelty 3.0

This review of eight German HPC centers concludes that a combination of cooling, scheduling, monitoring, and hardware choices is required to meaningfully reduce energy use.

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  • Energy-aware operation of HPC systems in Germany cs.DC · 2024-11-25 · conditional · none · ref 44 · internal anchor

    This review of eight German HPC centers concludes that a combination of cooling, scheduling, monitoring, and hardware choices is required to meaningfully reduce energy use.