Detection, Evaluation and Mitigation of Resource Affinity and Communication Contention Problems in a Task-Based Runtime over Heterogeneous Clusters

  • Lucas Leandro Nesi UFRGS
  • Lucas Schnorr UFRGS

Resumo


The complexity of high performance computing (HPC) platforms The Task-Based presents challenges in parallel application development. paradigm is a candidate to reduce some of the programmer's burden. However, because of the platforms' complexity, resource affinity and communication contention might cause performance problems. This work presents a case study of these problems employing the Chameleon dense algebra linear solver LU factorization using the Task-Based runtime StarPU over 21 heterogeneous nodes. We present possible configurations to mitigate performance degradation and conduct an extensive analysis of their interaction. The results show a performance improvement of 16% without changing the application source code.

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Publicado
21/10/2020
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NESI, Lucas Leandro; SCHNORR, Lucas. Detection, Evaluation and Mitigation of Resource Affinity and Communication Contention Problems in a Task-Based Runtime over Heterogeneous Clusters. In: SIMPÓSIO EM SISTEMAS COMPUTACIONAIS DE ALTO DESEMPENHO (WSCAD), 21. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 275-286. DOI: https://doi.org/10.5753/wscad.2020.14076.