and data processing units (DPUs). However, what almost all modern software has in common is that it can run in parallel, meaning that it can be broken down and have different tasks run multiple ...

About 20 years ago engineers around the world began demonstrating what is still the greatest computer innovation of my lifetime, parallel processing. (For more on the concept, visit this course at ...

Applying automatic optimizations to minimize network traffic, pushing down as much processing as possible to the data sources. 2. Using parallel in-memory computation to perform at the DV layer the ...

It, too, is a library for distributed parallel computing in Python ... accelerating machine-learning tasks or a particular data-processing framework. Pandaral·lel, as the name implies, is ...

Flow’s groundbreaking new architecture, referred to as a Parallel Processing Unit (PPU), boosts the CPU performance up to 100-fold through PPU integrated on-die through a license from Flow.

Swarm, a new chip design developed at MIT, could now come to the rescue and unleash the full power of parallel processing for up to 75-fold speedups, while requiring programmers to write a ...

Finnish startup Flow Computing Oy today revealed seemingly outlandish plans to transform the chip industry with a new Parallel Processing Unit that it says can boost the performance of any central ...

Apple’s recently announced M3 and A17 Pro chips feature several significant improvements to parallel processing, which results in major performance gains for apps and games that utilize the ...