Enabling Low-Overhead HT-HPC Workflows at Extreme Scale using GNU Parallel

GNU Parallel is a versatile and powerful tool for process parallelization widely used in scientific computing. This paper demonstrates its effective application in high-performance computing (HPC) environments, particularly focusing on its scalability and efficiency in executing large-scale high-thr...

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Vydáno v:	SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis s. 2056 - 2063
Hlavní autoři:	Maheshwari, Ketan, Arndt, William, Karimi, Ahmad Maroof, Yin, Junqi, Suter, Frederic, Johnson, Seth, Da Silva, Rafael Ferreira
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 17.11.2024
Témata:	Data transfer Distributed Computing GNU Parallel Graphics processing units High performance computing High-Throughput Computing Python Resource management Scalability Scientific computing Scientific Workflows Supercomputers Transforms Workflow management software
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