On August 20, Intel rolled out new parallel-processing tools that support Microsoft's concurrent runtime environment that is expected to become a central component of Redmond's next-generation ...

Stephan Herhut overviews concurrency and parallelism in JavaScript and the HTML5, discussing actors, futures and what throughput computing in the browser looks like.

Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability.

Where does Concurnas fall on the spectrum? Tatton: Concurnas is designed for solving concurrent, parallel and distributed computing problems.

Microsoft has a wide variety of ongoing projects in the parallel/distributed computing space, from its Axum concurrent-computing language, to the Parallel FX extenions to the .Net Framework.

Technical Terms Memory Model: A formal specification delineating the ordering and visibility of operations on memory, particularly in a concurrent computing environment.

Flow Computing is emerging from stealth with a funding round of $4.3 million and a goal of boosting CPU performance 100X.

From these low-level interfaces emerged higher-level parallel processing libraries, such as concurrent.futures, joblib and loky (used by dask and scikit-learn) These libraries make it easy for Python ...

Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

A team from the Chinese Academy of Sciences developed a parallel optical computing architecture with 100 wavelengths, pushing the boundary of computility.