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CUDA Templates for Linear Algebra Subroutines

Installation

To install this package, run one of the following:

Conda
$conda install anaconda::cutlass

Usage Tracking

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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

Mar 27, 2026 at 19:42

License

BSD-3-Clause

Supported Platforms

linux-aarch64
linux-64
win-64