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Benchmarking a High Performance Computing Heterogeneous Cluster

Capitolo di libro
Data di Pubblicazione:
2023
Abstract:
The paper describes the results of some benchmarking tests aimed to verify and validate all the solutions implemented during the deployment of a HPC heterogeneous resource acquired by the data center of the University of Naples "Federico II" thanks to the funds of the IBiSCo (Infrastructure for Big data and Scientific COmputing) Italian National Project. The first set of benchmarks evaluates how the network interconnection technologies affect the inter- and intra-node communications of GP-GPU workloads. The second set evaluates the performance of the Lustre parallel file system to ensure an efficient environment for data-intensive applications. The tests, especially those that analyze the lower level of the middleware (micro-benchmarks), seem to confirm the ability of the resource to guarantee the expected performance.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Benchmarking; High Performance Computing; Heterogeneous Computing; GP-GPU; InfiniBand; NVLink; Lustre; CUDA; RDMA; UCX; MPI
Elenco autori:
Carracciuolo, Luisa
Autori di Ateneo:
CARRACCIUOLO LUISA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/435479
Titolo del libro:
Parallel Processing and Applied Mathematics. PPAM 2022
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