Parallel computing for differential equations has emerged as a critical field in computational science, enabling the efficient simulation of complex physical systems governed by ordinary and partial ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

In the early 1980s, when I was teaching and doing research at Yale’s computer science department and School of Management, my colleagues and I dreamed about the great promises of artificial ...

Stanford University, in conjunction with Sun, AMD, NVIDIA, IBM, Intel, and HP, is working to create a new computing model that fully exploits modern, multicore processing. As a feature in Ars Technica ...

This is the third in a four-part series about the Intel® Scalable System Framework. Other contributions cover Intel® Omni-Path Architecture fabric, HPC software and the OpenHPC community, and Intel® ...

Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. Modern computing has many foundational building blocks, including central processing ...

For Microsoft and Intel, the computing universe is going parallel. Representatives from the companies met with reporters Tuesday morning to talk about a new parallel computing initiative involving the ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.