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  4. Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
 
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Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture

Journal
Computation
Date Issued
2021
Author(s)
Estévez Ruiz E.P.
Caluña Chicaiza G.E.
Jiménez Patiño F.R.
López Lago J.C.
Thirumuruganandham, Saravana Prakash
Centro de Investigación de Ciencias Humanas y de la Educación
Type
Article
DOI
10.3390/computation9080086
URL
https://cris.indoamerica.edu.ec/handle/123456789/8678
Abstract
Optimizing HPC systems based on performance factors and bottlenecks is essential for designing an HPC infrastructure with the best characteristics and at a reasonable cost. Such insight can only be achieved through a detailed analysis of existing HPC systems and the execution of their workloads. The “Quinde I” is the only and most powerful supercomputer in Ecuador and is currently listed third on the South America. It was built with the IBM Power 8 servers. In this work, we measured its performance using different parameters from High-Performance Computing (HPC) to compare it with theoretical values and values obtained from tests on similar models. To measure its performance, we compiled and ran different benchmarks with the specific optimization flags for Power 8 to get the maximum performance with the current configuration in the hardware installed by the vendor. The inputs of the benchmarks were varied to analyze their impact on the system performance. In addition, we compile and compare the performance of two algorithms for dense matrix multiplication SRUMMA and DGEMM. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Subjects
  • 3D Modeling; Animatio...

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