Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
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Updated
Feb 16, 2024 - Jupyter Notebook
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
row-major matmul optimization
Fast, differentiable sorting and ranking in PyTorch
SNU CSE Scalable High Performance Computing (M1522.006700) - 2023 Autumn
A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++
A beginner's guide to CUDA programming
Snippet repository for learning parallel GPU programming with CUDA.
a custom CUDA kernel for windowed matrix multiplication
Winning submission for StartHack 2024: HPC optimized multi-GPU/CPU inference
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