I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

Parallel computing has become a bedrock in the HPC field, where applications are becoming increasingly complex and such compute-intensive technologies as data analytics, deep learning and artificial ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

Existing processors in PCs, smartphones and other devices can be supercharged for enormous power and efficiency gains using a new parallel processing software framework designed to eliminate ...

One particular frustration with the UNIX shell is the inability to easily schedule multiple, concurrent tasks that fully utilize CPU cores presented on modern systems. The example of focus in this ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...

LLVM, the open source compiler framework that powers everything from Mozilla’s Rust language to Apple’s Swift, emerges in yet another significant role: an enabler of code deployment systems that ...

A way to save you time is to make CI build as fast as possible. When you have tests taking e.g. 1 hour to run then you could leverage your CI server config and setup parallel jobs (parallel CI ...