nerfstudio-project / gsplat
CUDA accelerated rasterization of gaussian splatting
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CUDA accelerated rasterization of gaussian splatting
CUDA Library Samples
cuGraph - RAPIDS Graph Analytics Library
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
A massively parallel, optimal functional runtime in Rust
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Sample codes for my CUDA programming book
WholeGraph - large scale Graph Neural Networks
CUDA Kernel Benchmarking Library