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Benchmarking a High Performance Computing Heterogeneous Cluster

Chapter
Publication Date:
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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Benchmarking; High Performance Computing; Heterogeneous Computing; GP-GPU; InfiniBand; NVLink; Lustre; CUDA; RDMA; UCX; MPI
List of contributors:
Carracciuolo, Luisa
Authors of the University:
CARRACCIUOLO LUISA
Handle:
https://iris.cnr.it/handle/20.500.14243/435479
Book title:
Parallel Processing and Applied Mathematics. PPAM 2022
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