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cutlass

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CUDA Templates for Linear Algebra Subroutines

Installation

To install this package, run one of the following:

Conda
$conda install main::cutlass

Usage Tracking

4.3.3
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Downloads (Last 6 months): 0

Description

CUTLASS is a collection of abstractions for implementing high-performance matrix-matrix multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement. CUTLASS decomposes these "moving parts" into reusable, modular software components and abstractions.

About

Summary

CUDA Templates for Linear Algebra Subroutines

Last Updated

Dec 15, 2025 at 18:09

License

BSD-3-Clause

Total Downloads

9

Supported Platforms

win-64
linux-64