GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

This post is Part 3 of a series. In Part 2: To meet the challenges of this moment and combat the dangerous paradox in the helping professions, we need to push for more healing-centered systems change.

The folks at Univa have enhanced Grid Engine. The company's goal was making its parallel processing software play nice with Docker containers, along with all of the other types of physical and virtual ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...

Parallel computing is not a new concept in digital simulation. The industry's leading simulators all have solutions that take advantage of advanced multicore technology. However, not all designs are ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

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 ...