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

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 ...

[ExtremeElectronics] cleverly demonstrates that if one Raspberry Pi Pico is good, then nine must be awesome. The PicoCray project connects multiple Raspberry Pi Pico microcontroller modules into a ...

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 ...

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® ...

There is always the promise of using more computing power for a single task. Your computer has multiple CPUs now, surely. Your video card has even more. Your computer is probably networked to a slew ...

Just back from the Edinburgh Parallel Computing Centre (EPCC), where I had a most interesting conversation with some of the people behind the Maxwell experimental high performance computer. That's ...