X-ray fluorescence (XRF) spectroscopy is widely used in chemical analysis. It detects major and trace elements non-destructively at concentrations ranging from 100 % to sub-PPM. This applies to a wide ...

Baylor St. Luke’s Medical Center, Houston, Texas, USA. Electronic databases CINHAL, PubMed, and Ovid were utilized with keywords: patient acuity tool and nursing assignment. Inclusion criteria applied ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

This project implements matrix multiplication using Hadoop MapReduce in Java. It consists of two MapReduce jobs: the first job multiplies matrices by combining values from two input matrices, and the ...

Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Abstract: Data intensive computations in data centers are performed by an increasingly popular programming framework named MapReduce. An advantage of this framework is that the algorithm is divided ...