dbta

Zero Networks Launches Kubernetes Access Matrix to Reduce Security Risks at Scale

Zero Networks, a leading provider of zero trust security solutions, is offering the Kubernetes Access Matrix, a real time visual map that exposes every allowed and denied rule inside Kubernetes ...
Nanowerk

Fluorescent film enables optical computing with built-in memory and display

Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, cutting power use and complexity. (Nanowerk News) The rapid growth of ...
Business Wire

SiFive’s New RISC-V IP Combines Scalar, Vector and Matrix Compute to Accelerate AI from the Far Edge IoT to the Data Center

SANTA CLARA, Calif.--(BUSINESS WIRE)--Further expanding SiFive’s lead in RISC-V AI IP, the company today launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products ...
InfoQ

Maximizing Deep Learning Performance on CPUs using Modern Architectures

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
IEEE

Demonstration of Tunable and Reconfigurable All-Optical Matrix-Vector Multiplication Using Nonlinear Wave Mixing

Abstract: We experimentally demonstrate an all-optical matrix-vector multiplication approach for encoded analog data using nonlinear wave mixing. We show the ...
GitHub

sparse-matrix-vector-multiplication

Hand-tuned WebAssembly implementations for efficient execution of web-based sparse computations including Sparse Matrix-Vector Multiplication (SpMV), sparse triangular solve (SpTS) and other useful ...
Semiconductor Engineering

Memory Wall Problem Grows With LLMs

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...
IEEE

Over-the-Air Distributed Matrix-Vector Multiplication With Analog Coding

Abstract: Distributed matrix-vector multiplication plays a key role in numerous computing-intensive applications, including machine learning, by leveraging distributed computing resources known as ...