Scientific Research Publishing

Edge-Centric Generative AI: A Survey on Efficient Inference for Large Language Models in Resource-Constrained Environments ()

Edge-Centric Generative AI: A Survey on Efficient Inference for Large Language Models in Resource-Constrained Environments ...
Drexel University

Algorithms and Barriers for Fast Matrix Multiplication

Matrix multiplication is one of the most basic algebraic operations. Since Strassen's surprising breakthrough algorithm from 1969, which showed that matrices can be multiplied faster than the most ...
The Next Platform

With TPU 8, Google Makes GenAI Systems Much Better, Not Just Bigger

Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and ...
IEEE

An Optimal Pairwise Merge Algorithm Improves the Quality and Consistency of Nonnegative Matrix Factorization

Abstract: Non-negative matrix factorization (NMF) is widely used for dimensionality reduction of large datasets and is an important feature extraction technique for source separation. However, NMF ...
IEEE

A Comprehensive Review of Parallel Optimization Algorithms for High-Dimensional and Incomplete Matrix Factorization

Abstract: High-dimensional and incomplete (HDI) matrices are commonly encountered in various big data-related applications for illustrating the complex interactions among numerous entities, like the ...
GitHub

neetcode-submissions /Data Structures & Algorithms /search-2d-matrix

//If it is less than, as we want to find the row where the first index //Is smaller than the target, then the next immediate row has a first index ...