Study on Dense Matrix Multiplication Algorithms and Performance Evaluation of HPCC in 81 Nodes IBM Power 8 Architecture

Ruiz, Eduardo Patricio Estévez and Chicaiza, Giovanny Eduardo Caluña and Patiño, Fabian Rodolfo Jiménez and Lago, Joaquín Cayetano López and Thirumuruganandham, Saravana Prakash (2021) Study on Dense Matrix Multiplication Algorithms and Performance Evaluation of HPCC in 81 Nodes IBM Power 8 Architecture. In: Recent Advances in Mathematical Research and Computer Science Vol. 5. B P International, pp. 105-125. ISBN 978-93-5547-325-7

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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. In computer science, benchmarking is a technique to measure the performance of a system or one of its components. 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.

Item Type: Book Section
Subjects: STM Academic > Mathematical Science
Depositing User: Unnamed user with email support@stmacademic.com
Date Deposited: 14 Oct 2023 10:41
Last Modified: 14 Oct 2023 10:41
URI: http://article.researchpromo.com/id/eprint/1465

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