OnWorks favicon

CUTLASS download for Linux

Free download CUTLASS Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named CUTLASS whose latest release can be downloaded as CUTLASS3.2.1.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named CUTLASS with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.





CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide primitives can be specialized and tuned via custom tiling sizes, data types, and other algorithmic policy. The resulting flexibility simplifies their use as building blocks within custom kernels and applications. To support a wide variety of applications, CUTLASS provides extensive support for mixed-precision computations, providing specialized data-movement and multiply-accumulate abstractions for half-precision floating point (FP16), BFloat16 (BF16), Tensor Float 32 (TF32), etc.


  • CUTLASS implements high-performance Convolution via the implicit GEMM algorithm
  • Implicit GEMM is the formulation of a convolution operation as a GEMM thereby taking advantage of CUTLASS's modular GEMM pipeline
  • Build convolutions by reusing highly optimized warp-wide GEMM components and below
  • First layer Convolution kernels specialized for small channel counts and reduced alignment
  • BLAS3 operators accelerated by Tensor Cores
  • Optimal performance using CUDA 11.7

Programming Language



Mathematics, Machine Learning

This is an application that can also be fetched from https://sourceforge.net/projects/cutlass.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.

Free Servers & Workstations

Download Windows & Linux apps

Linux commands