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rmathew4bs.bsky.social
“Beating NumPy’s Matrix Multiplication In 150 Lines Of C Code”, Aman Salykov (salykova.github.io/matmul-cpu).

Via HN: news.ycombinator.com/item?id=4087...

On Lobsters: lobste.rs/s/6cktqx/bea...

#C #MatrixMultiplication #Math #Performance #BLAS #LinearAlgebra #MatMul #Speed #NumPy #Optimization
Beating NumPy’s matrix multiplication in 150 lines of C code
TL;DR The code from the tutorial is available at matmul.c. This blog post is the result of my attempt to implement high-performance matrix multiplication on CPU while keeping the code simple, portable...
salykova.github.io
July 7, 2024 at 12:11 PM
pneumetron.bsky.social
🔥 Advancing Matrix Multiplication Complexity: A New Bound via AlphaEvolve

https://pneumetron.com/news/ai_research/advancing-matrix-multiplication-complexity-alphaevolve-c9d82d

#matrixmultiplication #computationalcomplexity #alphaevolve #optimization
August 26, 2026 at 6:38 AM
programmerhumor-io.bsky.social
No One Can Stop Bro

#Cloudflare #Ai #Matrixmultiplication #Outage #Downtime

https://programmerhumor.io/cloud-memes/no-one-can-stop-bro-inv8
No One Can Stop Bro
December 3, 2025 at 7:04 AM
hgpu.bsky.social
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

#CUDA #CUBLAS #MatrixMultiplication #Package

hgpu.org?p=30469
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
In this paper, we propose CUDA-L2, a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA …
hgpu.org
December 21, 2025 at 9:27 PM
hgpu.bsky.social
A Novel Compiler Transformation for Fast Sparse Matrix Multiplication in GPUs

#CUDA #Compilers #Sparse #MatrixMultiplication

hgpu.org?p=29951
A Novel Compiler Transformation for Fast Sparse Matrix Multiplication in GPUs
Sparse data structures are commonly used in neural networks to reduce the memory footprint. These data structures are compact but cause irregularities such as random memory accesses, which prevent …
hgpu.org
June 22, 2025 at 12:44 PM
getnews-me.bsky.social
Any T(n) algorithm for determinant, tr(A³) or tr(A⁻¹) yields a quantum matrix multiplication algorithm in O(T(n)) + ˜O(n²), matching exponent ω≈2.37. Read more: https://getnews.me/quantum-reduction-links-linear-algebra-problems-to-matrix-multiplication/ #quantum #matrixmultiplication #linearalgebra
Quantum Reduction Links Linear Algebra Problems to Matrix Multiplication
September 26, 2025 at 2:24 PM
cheinyeanlim.bsky.social
Exciting breakthrough in computational efficiency! Recent papers unveil innovative methods to accelerate matrix multiplication, promising significant savings in both computational power and costs. #ComputationalEfficiency #MatrixMultiplication #TechInnovation
March 9, 2024 at 8:56 PM
sschaeperklaus.bsky.social
Optimizing Matrix Multiplication: The Core of Modern Computing 🚀 6 operations for matrix multiplication & special cases like Google's PageRank. From AI breakthroughs to web search, efficient matrices drive innovation behind the scenes.

#MatrixMultiplication #AI #Optimization t.co/FIxJ497NRw
https://zenodo.org/records/15203458?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjJiNzgzMjdmLTg1NDUtNGJhNC05Mjk5LTk2YmQyODc4NWY1OCIsImRhdGEiOnt9LCJyYW5kb20iOiIwOWE0MmEyYmM3MTI1ZDBjYmNjYzIyOGRhNDNmYmNiYSJ9.cker...
t.co
April 12, 2025 at 3:51 PM