#matmul — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #matmul, aggregated by home.social.
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Slicing Is All You Need: Towards a Universal One-Sided Distributed MatMul
https://arxiv.org/abs/2510.08874
#HackerNews #Slicing #MatMul #Distributed #Computing #OneSided #AI #Research
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Slicing Is All You Need: Towards a Universal One-Sided Distributed MatMul
https://arxiv.org/abs/2510.08874
#HackerNews #Slicing #MatMul #Distributed #Computing #OneSided #AI #Research
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Slicing Is All You Need: Towards a Universal One-Sided Distributed MatMul
https://arxiv.org/abs/2510.08874
#HackerNews #Slicing #MatMul #Distributed #Computing #OneSided #AI #Research
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Slicing Is All You Need: Towards a Universal One-Sided Distributed MatMul
https://arxiv.org/abs/2510.08874
#HackerNews #Slicing #MatMul #Distributed #Computing #OneSided #AI #Research
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Slicing Is All You Need: Towards a Universal One-Sided Distributed MatMul
https://arxiv.org/abs/2510.08874
#HackerNews #Slicing #MatMul #Distributed #Computing #OneSided #AI #Research
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All in on MatMul? Don’t Put All Your Tensors in One Basket!
https://www.sigarch.org/dont-put-all-your-tensors-in-one-basket-hardware-lottery/
#HackerNews #MatMul #Tensors #HardwareLottery #AIResearch #DataScience
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Detailing the tiling scheme used for a CUDA kernel doing matrix-matrix multiplication #gpu #cuda #cplusplus #matmul #gemm https://indii.org/blog/gpu-matrix-multiply-tiling/
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Detailing the tiling scheme used for a CUDA kernel doing matrix-matrix multiplication #gpu #cuda #cplusplus #matmul #gemm https://indii.org/blog/gpu-matrix-multiply-tiling/
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Detailing the tiling scheme used for a CUDA kernel doing matrix-matrix multiplication #gpu #cuda #cplusplus #matmul #gemm https://indii.org/blog/gpu-matrix-multiply-tiling/
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Detailing the tiling scheme used for a CUDA kernel doing matrix-matrix multiplication #gpu #cuda #cplusplus #matmul #gemm https://indii.org/blog/gpu-matrix-multiply-tiling/
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Detailing the tiling scheme used for a CUDA kernel doing matrix-matrix multiplication #gpu #cuda #cplusplus #matmul #gemm https://indii.org/blog/gpu-matrix-multiply-tiling/
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“Beating NumPy’s Matrix Multiplication In 150 Lines Of C Code”, Aman Salykov (https://salykova.github.io/matmul-cpu).
Via HN: https://news.ycombinator.com/item?id=40870345
On Lobsters: https://lobste.rs/s/6cktqx/beating_numpy_s_matrix_multiplication
#C #MatrixMultiplication #Math #Performance #BLAS #LinearAlgebra #MatMul #Speed #NumPy #Optimization
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Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
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Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
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Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
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Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
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Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
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Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
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Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
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Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
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Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
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Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
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Another incredible thread from Horace He:
https://twitter.com/cHHillee/status/1630274804795445248?s=20
This time in response to a thread from @karpathy where slightly increasing the size of the embedding matrix resulted in a large speedup.
This thread covers some nuances of memory accesses and utilization for matmul, the basics of which are introduced here:
https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html
