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MS Thesis Rohit Kumar Srivastava- Final Draft.pdf (4.14 MB)
ETD Abstract Container
Abstract Header
Modeling Performance of Tensor Transpose using Regression Techniques
Author Info
Srivastava, Rohit Kumar
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1524080824154753
Abstract Details
Year and Degree
2018, Master of Science, Ohio State University, Computer Science and Engineering.
Abstract
Tensor transposition is an important primitive in many tensor algebra libraries. For example, tensor contractions are implemented using TTGT(Transpose-Transpose-GEMM-Transpose) approach. Performing efficient transpose of an arbitrary tensor requires different optimization techniques depending on the required permutation. Exhaustive evaluation of all parameter choices like slice size and blocking is prohibitively expensive. We present an approach to model the performance of different kernels inside TTLG, a Tensor Transpose Library for GPUs, for different parameters like slice size, blocking, and resultant warp efficiency etc. Predictions made by this model are then used to guide in kernel and its parameter selection.
Committee
Ponnuswamy Sadayappan (Advisor)
Radu Teodorescu (Committee Member)
Pages
55 p.
Subject Headings
Computer Science
Keywords
High-Performance Computing, Parallel programming, CUDA, GPU programming, Tensor Algebra, Tensor Transpose
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Citations
Srivastava, R. K. (2018).
Modeling Performance of Tensor Transpose using Regression Techniques
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524080824154753
APA Style (7th edition)
Srivastava, Rohit Kumar.
Modeling Performance of Tensor Transpose using Regression Techniques.
2018. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1524080824154753.
MLA Style (8th edition)
Srivastava, Rohit Kumar. "Modeling Performance of Tensor Transpose using Regression Techniques." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524080824154753
Chicago Manual of Style (17th edition)
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Document number:
osu1524080824154753
Download Count:
459
Copyright Info
© 2018, some rights reserved.
Modeling Performance of Tensor Transpose using Regression Techniques by Rohit Kumar Srivastava is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.