Parallel processing, an integral element of modern computing, allows for more efficiency in a wide range of applications.

Called a Parallel Processing Unit (PPU), the company claims the technology works by moving tasks into and out of the processor at speeds faster than has previously been possible.

Flow claims that it has optimized licenses for every major tier of CPU market application: mobile, PC, and supercomputer. Called a Parallel Processing Unit (PPU), the company claims the technology ...

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.

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

Flow also eliminates the need for expensive GPU acceleration of CPU instructions in performant applications. Flow’s groundbreaking new architecture, referred to as a Parallel Processing Unit (PPU), ...

A Finland-based firm is aiming to increase the performance of the central processing units (CPUs) used in computers by up to 100 times using what the company calls – parallel processing units ...

Furthermore, with multiple processing engines, Ceva NeuPro-M enables the processing of multiple video streams and AI models in parallel for higher efficiency and precision.

Graphcore’s new chip, an intelligence processing unit (IPU), emphasises graph computing with massively parallel, low-precision floating-point computing.

The parallel processing capabilities of the GPU allow complex computations at a quick pace as compared to a conventional Central Processing Unit (CPU).