Oopsla23 Compiling Structured Tensor Algebra

Oopsla23 Compiling Structured Tensor Algebra Information Guide

1. Introduction on Oopsla23 Compiling Structured Tensor Algebra
2. Core Information
3. Developments
4. Detailed Analysis
5. Future Outlook

Introduction on Oopsla23 Compiling Structured Tensor Algebra

Many applications, from social network graph analytics to control flow analysis, compute on sparse data that evolves over the ... Achieving high performance is no easy task. When it comes to program operating on sparse data, where there is very little ... Linear algebra is a work-horse of numerical computing. Fredrik Kjolstad, Shoaib Kamil, Stephen Chou, David Lugato, Saman Amarasinghe Presented at GPCE 2018 Achieving high performance is no easy task. When it comes to program operating on sparse data, where ...

Core Information

Developments

[LAFI'24] Structured Tensor Algebra for Efficient Discrete Probabilistic Inference

ICPP Keynote: Making Sparse Fast with the TACO Domain Specific Language for Sparse Tensor Algebra

The Tensor Algebra Compiler

Format Abstraction for Sparse Tensor Algebra Compilers

The Sparse Tensor Algebra Compiler

The Tensor Algebra Compiler

[PLDI'23] Mosaic: An Interoperable Compiler for Tensor Algebra

Rohan Yadav: DISTAL, The Distributed Tensor Algebra Compiler

The TACO Sparse Tensor Algebra Compiler

Detailed Analysis

Data is compiled from public records and verified media reports.

Last Updated: June 20, 2026

Future Outlook

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.