EDN

Round pegs, square holes: Why GPGPUs are an architectural mismatch for modern LLMs

The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most ...
IEEE

Optimizing FPGA Memory Allocation for Matrix-Matrix Multiplication Using Bayesian Optimization

Abstract: Matrix-matrix multiplication (MM) of large matrices plays a crucial role in various applications, including machine learning. MM requires significant computational resources, but accessing ...
IEEE

Multiplication of Sparse Matrices and their Transpose Using Compressed Sparse Diagonals

Abstract: Matrix-matrix multiplication is one of the most important kernel in linear algebra operations with a multitude of applications in scientific and engineering computing. Sparse matrix ...
Frontiers

Development of a 3D tumor model based on decellularized matrix using high-throughput approaches

Precision medicine aims to develop 3D tumor models to validate new therapies and investigate disease mechanisms by isolating the extracellular matrix as a foundation for recreating tumors in vitro.
blockchain

NVIDIA cuTile Python Guide Shows 90% cuBLAS Performance for Matrix Ops

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 ...