Study of GPU scalability

Kyu Hyun Choi, Dongha Jung, Seon Wook Kim, Tae Ho Hwang, Jin San Kwon, Dong Sun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


General-purpose Graphic Processing Units (GPGPUs) have been widely used to accelerate heavy compute-intensive applications. In a market the number of GPU cores on one chip are increased to maximize performance by exploiting thread-level parallelism (TLP). But memory system could be a bottleneck, and assigning more cores does not help faster execution. In this paper, we observe GPU core scalability issue, and analyze major causes of the performance degradation under many core configuration in perspective of memory latency.

Original languageEnglish
Title of host publicationISCE 2014 - 18th IEEE International Symposium on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479945924
Publication statusPublished - 2014
Event18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of
Duration: 2014 Jun 222014 Jun 25

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE


Other18th IEEE International Symposium on Consumer Electronics, ISCE 2014
Country/TerritoryKorea, Republic of


  • GPU
  • memory latency
  • scalability

ASJC Scopus subject areas

  • Engineering(all)


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