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

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 ...

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

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 ...

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 ...

When Calvin computer science professor Joel Adams launched Calvin’s first parallel computing course in the late 90s, the field was “an esoteric elective kind of thing.” Supercomputers, the main ...

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 ...

Established chip company Adapteva has launched a Kickstarter fundraising campaign to create a low-cost parallel chip board for supercomputing — a kind of Raspberry Pi for parallel programming. Where ...

One of the key trends for Nvidia right now is the growth of CUDA (Compute Unified Device Architecture), Nvidia's programming language for general-purpose GPU computing. In a keynote speech, Huang ...