Tagged articles

Cutlass

3 articles · Page 1 of 1

Jun 12, 2026 · Artificial Intelligence

MiniMax Open-Source MSA: High‑Performance Attention Kernels Optimized for NVIDIA SM100

MiniMax Sparse Attention (MSA) is an open‑source library that delivers high‑performance dense and block‑sparse attention operators for NVIDIA SM100 GPUs by combining a Jinja‑based csrc JIT stack with a Cutlass Python DSL (CuTe‑DSL), enabling low‑precision quantization, paging support, and seamless migration from dense code.

AI KernelsCuTe-DSLCutlass

0 likes · 5 min read

MiniMax Open-Source MSA: High‑Performance Attention Kernels Optimized for NVIDIA SM100

Network Intelligence Research Center (NIRC)

Jun 9, 2025 · Artificial Intelligence

How to Build High‑Performance GEMM with NVIDIA CUTLASS

The article explains why standard GEMM libraries may fall short for special matrix shapes, introduces NVIDIA’s open‑source CUTLASS library, details its hierarchical tiling architecture, and walks through a complete device‑API example that customizes tile sizes and data layouts to achieve near‑hand‑written kernel performance on modern GPUs.

CUDACutlassGEMM

0 likes · 6 min read

How to Build High‑Performance GEMM with NVIDIA CUTLASS

Alibaba Cloud Infrastructure

Mar 22, 2023 · Artificial Intelligence

CUTLASS Extreme Performance Optimization and Its Application in Alibaba's Recommendation System

At the GTC conference, the talk presents Alibaba Cloud’s heterogeneous computing platform and introduces the Open Deep Learning API (ODLA), then details how CUTLASS‑based operator fusion dramatically accelerates attention and MLP layers in large‑scale recommendation models, achieving multi‑fold performance gains in production.

CutlassDeep LearningGPU computing

0 likes · 5 min read

CUTLASS Extreme Performance Optimization and Its Application in Alibaba's Recommendation System