GSTACO: A Generalized Sparse Tensor Algebra Compiler
Name
dima-adadima-meng-eecs-2023-thesis.pdf
Description
Thesis PDF
Size
2.84 MB
Format
Adobe PDF
Checksum (MD5)
ee9abf67439f80002b46810ac9a9bf68
Author(s)
Dima, Alexandra
Advisor(s)
Amarasinghe, Saman
Date Issued
February 2023
Publisher
Massachusetts Institute of Technology
Abstract
Many applications in engineering and computer science are characterized by sparse multi-dimensional data. Therefore, optimizations for sparse tensor algebra have received a lot of attention lately. Several hardware and software solutions have emerged in order to speed up the computation of certain tensor expressions, but none of them provides an interface that is general and comprehensive enough to meet the requirements of complex applications like graph analysis. In this work we attempt to identify where previous solutions fell short and build the Generalized Sparse Tensor Algebra Compiler (GSTACO), a new compiler aiming to fill in the engineering gaps of efficient sparse computation.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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