Instruction Level Parallelism (ILP) is a way of improving the performance of a processor by executing operations simultaneously. Modern processors generally have an abundance of execution ...

Quentin Stout and Christiane Jablonowski from the University of Michigan gave a nice introduction to parallel computing on Sunday. They covered everything from architecture to APIs to the politics of ...

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 ...

OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from ...

Rising development costs motivate companies to design fewer systems-on-chip, but to make each one they do design more flexible and programmable. Doing so makes it possible to reuse designs to take ...

Modern processor architectures invariably enable the parallel execution of several operations per clock cycle. Configurable processors such as the Improv Jazz VLIW DSP allow the user to modify and ...

Processors recently have added explicit parallelism in the form of multiple cores, and processor road maps are showing the number of cores increasing exponentially over time. This is in addition to ...

[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 ...

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 ...

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 ...