Google develops search, advertising, cloud, and AI technologies at global scale. Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the ...
NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...
Abstract: Contemporary GPU architectures integrate specialized computing units for matrix multiplication, named matrix multiplication units (MXUs), to effectively process neural network applications.
Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...
AlphaEvolve’s versatility across such diverse challenges is turning heads. “It’s very surprising that you can do so many different things with a single system,” says Alexander Novikov, a senior ...
Cutting-edge research & publications dedicated t0 eigenvector theory, shaping diverse science & technological fields. (1) Nhat A. Nghiem, Department of Physics and Astronomy, State University of New ...
PyTorch introduced TK-GEMM, an optimized Triton FP8 GEMM kernel, to address the challenge of accelerating FP8 inference for large language models (LLMs) like Llama3 using Triton Kernels. Standard ...
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