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Abstract: The demand for efficient, low-power, and high-speed deep neural network (DNN) accelerators has driven the need for specialized hardware architectures. This work presents the VLSI ...
Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...
A = Matrix 5 5 1 -- identity matrix 5Ñ…5 A.print() Matrix 5x5: [1 0 0 0 0 ] [0 1 0 0 0 ] [0 0 1 0 0 ] [0 0 0 1 0 ] [0 0 0 0 1 ] M = Matrix 3 3 #(1, 2, 3, 0, 1, 4, 5 ...
If you're among the 70% of Americans who say they aren't yet taking advantage of higher-yield accounts to grow their money, according to a recent Santander survey, you're leaving significant money on ...
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 ...
Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...
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