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

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

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 ...

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

High-performance computing (HPC) refers to the practice of aggregating computing resources into clusters that can analyze huge volumes of data in parallel, and process calculations at speeds far ...

AWS Parallel Computing Service builds from open-source foundations that customers know and have experience with, and delivers a managed Slurm experience with the reliability and availability of AWS.

AWS Parallel Computing Service builds from open-source foundations that customers know and have experience with, and delivers a managed Slurm experience with the reliability and availability of AWS.

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

Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.

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