Cell contains a central core based on the PowerPC scalar architecture, and eight additional vector processing cores. Learning to program such hybrid parallel systems efficiently will be a challenge.

Learn about the features, advantages, and challenges of superscalar architecture and how it compares to vector, multicore, and distributed processing.

As vector processing moves mainstream, uncover how it can support your increasingly complex workloads. December 09, 2019 Comment As density increases and AI & machine learning becomes commonplace, ...

Parallel processing is a technique that allows a computer to execute multiple tasks simultaneously by using multiple processors or cores. Parallel processing can improve computer architecture in ...

Vector tracking has many advantages over scalar tracking. There are a number of different implementations of vector processing, and this chapter provides a survey of those implementations. Conceptual ...

Abstract: This article describes the ARM Scalable Vector Extension (SVE). Several goals guided the design of the architecture. First was the need to extend the vector processing capability associated ...

San Jose, CA, Nov. 06, 2020 (GLOBE NEWSWIRE) -- Andes Technology Corporation (TWSE: 6533), a leading supplier of high efficiency, low-power 32/64-bit RISC-V processor cores and founding Premier ...

The new sensor hub uses a highly-configurable 8-way VLIW architecture, allowing it to be tuned to address a wide range of applications. Its micro-architecture combines scalar and vector processing ...

A vector processor takes a vector of values, say 10 14 666 22 84 53 45 25 14 47 91 and with 1 instruction performs the same operation on all of them, such as multiplying by a single scalar value ...