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DOE OSTI · 1835281

SBIR Phase I Final Report, TACO: Distributed and Heterogeneous Sparse Compiler

Khan, Rishi·Kjolstad, Fredrik
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Abstract

Tensor algebra is a powerful tool for computing, but writing optimized codes that operate on sparse tensors can be very complex. This project enables a Tensor Algebra Compiler (TACO) that simplifies this task from man-years to man-days and extends TACO to support complex and large distributed systems. This report details the hypotheses, approaches used, and findings in this project.

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97 MATHEMATICS AND COMPUTINGdistributed, heterogeneous, scalable, sparse data structures, tensor algebra, code generation, code optimization, parallelism, tensor formats

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Khan, Rishi, Kjolstad, Fredrik. 2021-12-13. SBIR Phase I Final Report, TACO: Distributed and Heterogeneous Sparse Compiler. https://doi.org/10.2172/1835281

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