AMD engineer Haocong Wang presents the ROCm Composable Kernel library which allows to write high-performance kernels for machine learning with HIP C++.
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Lecture 28: Liger Kernel - Efficient Triton Kernels for LLM Training
Lecture 27: gpu.cpp - Portable GPU compute using WebGPU
Lecture 26: SYCL Mode (Intel GPU)
Lecture 25: Speaking Composable Kernel (CK)
Lecture 24: Scan at the Speed of Light
Lecture 23: Tensor Cores
Lecture 22: Hacker's Guide to Speculative Decoding in VLLM
Lecture 21: Scan Algorithm Part 2
Lecture 20: Scan Algorithm
Lecture 19: Data Processing on GPUs
Lecture 18: Fusing Kernels
Lecture 17: NCCL
Lecture 16: On Hands Profiling
Bonus Lecture: CUDA C++ llm.cpp
Lecture 15: CUTLASS
Lecture 14: Practitioners Guide to Triton
Lecture 13: Ring Attention
Lecture 12: Flash Attention
Lecture 11: Sparsity
Lecture 10: Build a Prod Ready CUDA library
Lecture 9 Reductions
Lecture 8: CUDA Performance Checklist
Lecture 7 Advanced Quantization
Lecture 6 Optimizing Optimizers