What is CUTLASS?

CUTLASS (CUDA Templates for Linear Algebra Subroutines and Solvers) is a library from NVIDIA designed for high-performance computations on GPUs using CUDA. It provides C++ templates for implementing efficient linear algebra operations such as matrix multiplication (GEMM), convolutions, and other computational primitives.

Main features of CUTLASS:

• Uses C++ templates for flexible customization and optimization for specific GPU architectures.
• Allows creating high-performance kernels for floating-point operations, including FP16, FP32, FP64, as well as tensor cores.
• Intended for integration into larger machine learning and scientific computing frameworks.

An example of using CUTLASS is implementing matrix multiplication optimized for a specific GPU, significantly speeding up computations compared to basic implementations.

Thus, CUTLASS is a powerful tool for developers working with CUDA who aim to utilize GPU capabilities for linear algebra and machine learning tasks efficiently.