The Next Platform

Tensordyne Converts AI Matrix Math To Logs To Crank Up Inference Oomph

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...
Nature

In-memory processing takes spectrometers to the edge

A memristor chip can provide fast and energy-efficient spectrum analysis by using robust and denoised in-memory computing memory arrays. You have full access to this article via your institution. Fig.
C&EN

Accelerating Correlated Quantum Chemistry Calculations Using Graphical Processing Units and a Mixed Precision Matrix Multiplication Library

§Contributed equally to this work. Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These ...
LinkedIn

Matrix Chain Multiplication Problem - Dynamic Programming

Day 129 of 160 – Matrix Chain Multiplication 🔗🧮 Hello connections! 👋 Today’s challenge was from the Dynamic Programming vault — the classic Matrix Chain Multiplication problem. 🧠 Problem Overview: ...
Yahoo

Scientists use Matrix-style learning to ‘write’ skills into human brain noninvasively

Add Yahoo as a preferred source to see more of our stories on Google. A team of researchers from the University of Rochester, Yale University, and Princeton University has made a big stride in ...
IEEE

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Abstract: This paper presents a performance modeling and optimization analysis tool to predict and optimize the performance of sparse matrix-vector multiplication (SpMV) on GPUs. We make the following ...
Scientific Research Publishing

Optimizing Memory Access Efficiency in CUDA Kernel via Data Layout Technique ()

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous vehicles, and exascale computing.
LinkedIn

Understanding Dynamic Programming: Solving Complex Problems Efficiently .

Dynamic programming is a powerful algorithmic technique used in computer science and mathematics to solve a wide range of complex problems efficiently. It is particularly valuable when dealing with ...
Associated Press

Review: ‘Matrix Resurrections’ rewrites its programming

Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. This image released by Warner Bros. Pictures shows ...
InfoQ

TornadoVM: Accelerating Java with GPUs and FPGAs

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Nature

Low-power linear computation using nonlinear ferroelectric tunnel junction memristors

Analogue in-memory computing using memristors could alleviate the performance constraints imposed by digital von Neumann systems in data-intensive tasks. Conventional linear memristors typically ...