Format Abstraction For Sparse Tensor Algebra Compilers Information Guide

  1. Overview to Format Abstraction For Sparse Tensor Algebra Compilers
  2. Key Details
  3. History
  4. Deep Dive
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Overview to Format Abstraction For Sparse Tensor Algebra Compilers

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Key Details

Automatic Generation of Efficient Sparse Tensor Format Conversion Routines News
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History

The Sparse Tensor Algebra Compiler Guide
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Autoscheduling for Sparse Tensor Algebra with an Asymptotic Cost Model
Autoscheduling for Sparse Tensor Algebra with an Asymptotic Cost Model
DISTAL: The Distributed Tensor Algebra Compiler
DISTAL: The Distributed Tensor Algebra Compiler
[CTSTA'23] The Sparse Abstract Machine
[CTSTA'23] The Sparse Abstract Machine
ICPP Keynote: Making Sparse Fast with the TACO Domain Specific Language for Sparse Tensor Algebra
ICPP Keynote: Making Sparse Fast with the TACO Domain Specific Language for Sparse Tensor Algebra
The Tensor Algebra Compiler
The Tensor Algebra Compiler
[OOPSLA] Compilation of Dynamic Sparse Tensor Algebra
[OOPSLA] Compilation of Dynamic Sparse Tensor Algebra
2021 LLVM Dev Mtg “Sparse Tensor Algebra Optimizations in MLIR”
2021 LLVM Dev Mtg “Sparse Tensor Algebra Optimizations in MLIR”
[DRAGSTERS] UniSparse: An Intermediate Language and Compiler for General Sparse Format Customization
[DRAGSTERS] UniSparse: An Intermediate Language and Compiler for General Sparse Format Customization
[FProPer24] Functional Sparse Tensor Compilation
[FProPer24] Functional Sparse Tensor Compilation
A Stage-Polymorphic IR for Compiling MATLAB-Style Dynamic Tensor Expressions
A Stage-Polymorphic IR for Compiling MATLAB-Style Dynamic Tensor Expressions
[OOPSLA23] Compiling Structured Tensor Algebra
[OOPSLA23] Compiling Structured Tensor Algebra

Deep Dive

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Last Updated: October 20, 2026

Future Outlook

Full A Sparse Iteration Space Transformation Framework for Sparse Tensor Algebra Guide
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Summary

Paper: dl.acm.org/citation.cfm?id=3276493 This paper shows how to build a ... easier for users to optimize their Automatic generation of high-performance pldi22.sigplan.org/details/pldi-2022-pldi/17/Autoscheduling-for- This talk introduces the Sparse Achieving high performance is no easy task. When it comes to program operating on Fredrik Kjolstad, Shoaib Kamil, Stephen Chou, David Lugato, Saman Amarasinghe Many applications, from social network graph analytics to control flow 2021 LLVM Developers' Meeting llvm.org/devmtg/2021-11/ — The inevitable trend of hardware specialization drives an increasing use of custom data

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