Concurrent task execution on the Intel Xeon Phi

Simple item page
dc.contributor.advisorAubanel, Eric
dc.contributor.authorZhu, Yucheng
dc.date.accessioned2023-03-01T16:24:16Z
dc.date.available2023-03-01T16:24:16Z
dc.date.issued2014
dc.date.updated2019-12-17T00:00:00Z
dc.description.abstractThe Intel Xeon Phi coprocessor is a new choice for the high performance computing industry and it needs to be tested. In this thesis, we compared the difference in performance between the Xeon Phi and the GPU. The Smith-Waterman algorithm is a widely used algorithm for solving the sequence alignment problem. We implemented two versions of parallel SmithWaterman algorithm for the Xeon Phi and GPU. Inspired by CUDA stream which enables concurrent kernel execution on Nvidia’s GPUs, we propose a socket based mechanism to enable concurrent task execution on the Xeon Phi. We then compared our socket implementation with Intel’s offload mode and with an Nvidia GPU. The results showed that our socket implementation performs better than the offload mode but is still not as good as the GPU.
dc.description.copyrightNot available for use outside of the University of New Brunswick
dc.description.noteM.C.S. University of New Brunswick, Faculty of Computer Science, 2015.
dc.formattext/xml
dc.format.extentix, 60 pages
dc.format.mediumelectronic
dc.identifier.oclc(OCoLC)1061150292
dc.identifier.otherThesis 9520
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/13753
dc.language.isoen_CA
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineComputer Science
dc.subject.lcshIntel microprocessors--Testing
dc.subject.lcshGraphics processing units--Testing.
dc.titleConcurrent task execution on the Intel Xeon Phi
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.fullnameMaster of Computer Science
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.C.S.

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
item.pdf
Size:
1.63 MB
Format:
Adobe Portable Document Format
Download

Collections

Open Theses & Dissertations