Abstract: We present a Mathematics of Arrays (MoA) and ψ-calculus derivation of the memory-optimal operational normal form for ELLPACK sparse matrix-vector multiplication (SpMV) on GPUs. Under the ...

issue: bug (minor)Bug affecting only some users or with no major impact on the frameworkBug affecting only some users or with no major impact on the framework ...

Abstract: Sparse matrix storage optimization is crucial in expanding the occurrences of datasets in scientific computation, machine learning, and high-dimensional applications, in which the ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

The covert program, begun during the Biden administration and stepped up by President Trump, is hunting for the location of fentanyl labs. By Julian E. Barnes Maria Abi-Habib Edward Wong and Eric ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...

Given the plateau in technology scaling combined with a continual need for performance, modern hardware development has focused on domain-specific accelerator design. However, domain-specific ...

Search an element in a matrix in C Here, in this page we will discuss the program to search an element in a matrix in C programming language. We are given with an n x n matrix, and the value of the ...

Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States ...