Learn matrix-matrix multiplication optimization in C++ through progressively optimized DGEMM implementations, from naïve algorithms to AVX-512 and blocked kernels.
-
Updated
Jan 15, 2025 - C++
Learn matrix-matrix multiplication optimization in C++ through progressively optimized DGEMM implementations, from naïve algorithms to AVX-512 and blocked kernels.
DGEMM on KNL, achieve 75% MKL
Base-13 FP4 limbs for Ozaki-scheme DGEMM emulation on FP4 tensor cores
BLASphemy: Metal-native linear algebra for Apple Silicon...because cuBLAS isn't coming to Cupertino
Multiplicação de Matrizes (DGEMM) Sequencial e Paralela com OpenMP
Perform the matrix-matrix operation `C = α*op(A)*op(B) + β*C` where `op(X)` is either `op(X) = X` or `op(X) = X^T`.
Computer Science 267: Applications of Parallel Computers
Perform the matrix-matrix operation `C = alpha*op(A)*op(B) + beta*C`.
Análise: Influência da organização da memória no desempenho em algoritmos de multiplicação de matriz geral de precisão dupla (DGEMM).
C code snippets of matrix and vector calculation optimization experiments
To associate your repository with the dgemm topic, visit your repo's landing page and select "manage topics."