Cublas
PulseAugur coverage of Cublas — every cluster mentioning Cublas across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New kernels boost LLM inference speed by fusing SwiGLU activations
Researchers have developed new techniques to accelerate the inference of large language models (LLMs) by fusing SwiGLU activation functions directly into GEMM operations at the tile level. These methods, implemented usi…
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AutoMegaKernel compiles Llama models into single CUDA kernels
Researchers have developed AutoMegaKernel (AMK), a system that compiles HuggingFace Llama-family models into a single, persistent CUDA kernel for efficient forward passes. AMK's static validator ensures schedule safety,…
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GPU Matrix Multiplications Faster With Predictable Data
Researchers have discovered that matrix multiplications on GPUs can perform faster when the input data is "predictable." Initially, a project called CUTLASS showed a 10% performance improvement over NVIDIA's CuBLAS. How…
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DeepSeek V4 achieves faster performance with custom kernels, replacing cuBLAS
DeepSeek has developed a custom kernel stack, DeepGEMM and TileLang, which not only matches but surpasses the performance of NVIDIA's cuBLAS. This custom implementation achieves bitwise determinism and batch invariance,…