IEEE

A Hardware-Efficient QR Algorithm and Its VLSI Architecture for Eigenvalue Decomposition of Symmetric Matrices

Abstract: This article proposes a novel hardware-efficient QR algorithm and its VLSI architecture to compute the eigenvalue decomposition (EVD) of symmetric matrices. By replacing the computationally ...

Google rations AI capacity to Meta as infrastructure crunch intensifies: FT

Meta ( META) had been using Google's Gemini models for tasks such as content moderation and scam detection because they ...
Microsoft

Compiling Strassen-like Matrix Multiplication Algorithms to Fast CUDA Kernels

Matrix multiplication is a key operation in scientific computing and machine learning, with GPU libraries like NVIDIA Cutlass and cuBLAS providing optimized implementations of the three nested loop ...
IEEE

Secure parallel Outsourcing Scheme for Large-scale Matrix Multiplication on Distributed Cloud Servers

Abstract: Large-scale matrix multiplication is a computational bottleneck in various applications including artificial intelligence and machine learning. Given the time complexity of O(n 3) for matrix ...