GPUs: High-Performance Accelerators for Parallel Applications: The Multicore Transformation (Ubiquity Symposium)

Research output: Contribution to journalArticlepeer-review

Abstract

Early graphical processing units (GPUs) were designed as high compute density, fixed-function processors ideally crafted to the needs of computer graphics workloads. Today, GPUs are becoming truly first-class computing elements on par with CPUs. Programming GPUs as self-sufficient general-purpose processors is not only hypothetically desirable, but feasible and efficient in practice, opening new opportunities for integration of GPUs in complex software systems.
Original languageEnglish
JournalUbiquity
Volume2014
Issue numberAugust
DOIs
StatePublished - 1 Aug 2014

Fingerprint

Dive into the research topics of 'GPUs: High-Performance Accelerators for Parallel Applications: The Multicore Transformation (Ubiquity Symposium)'. Together they form a unique fingerprint.

Cite this