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cuBLAS
🔢 cuBLAS
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CUDA Linear Algebra, Matrix Operations, GPU BLAS, cuBLASLt
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RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting
CUDA
megakernel and self-tunes it past
cuBLAS
at batch-1 LLM decode.
🔥
PyTorch
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.
Less-relevant results
AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis
⚡
CUDA Programming Patterns
Content type:
Academic
arxiv.org
·
2d
2 days ago
·
Hacker News
Actions for AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis
Exploiting
GPU
Tensor Cores from Java using Babylon [Juan Fumero]
🎯
Tensor Cores
openjdk.org
·
1d
1 day ago
·
r/java
Actions for Exploiting GPU Tensor Cores from Java using Babylon [Juan Fumero]
KJLdefeated/RL.cu
: RLVR training for LLM in CUDA/C++
📊
CUDA Graphs
Content type:
Code
github.com
·
4d
4 days ago
·
Hacker News
Actions for KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++
Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon
🎯
Tensor Cores
Content type:
Blog
tridao.me
·
2d
2 days ago
·
Hacker News
Actions for Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon
Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2
🎯
Tensor Cores
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2
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