A Study on Optimal Scheduling Using High-Bandwidth Memory of Knights Landing Processor

Seungwoo Rho, Geunchul Park, Jik Soo Kim, Seoyoung Kim, Dukyun Nam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we profile three types of MPI workloads and propose an optimal scheduling scheme for Knights Landing (KNL), Intel's second-generation manycore processor, which contains high-bandwidth memory (HBM) with five times more bandwidth than existing DRAM. In addition, the KNL system can be configured for various forms of memory and cluster modes. To gain the best performance, it is important to analyze these systems' characteristics and schedule their workloads appropriately. By allocating memory-intensive workloads to HBM in KNL, we show that the overall performance of multiple MPI workloads can be improved in terms of execution time and system utilization.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages289-294
Number of pages6
ISBN (Electronic)9781509065585
DOIs
StatePublished - 9 Oct 2017
Event2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 - Tucson, United States
Duration: 18 Sep 201722 Sep 2017

Publication series

NameProceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017

Conference

Conference2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
Country/TerritoryUnited States
CityTucson
Period18/09/1722/09/17

Keywords

  • HBM
  • KNL
  • manycore
  • MPI
  • scheduling

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