Abstract
GPU computing is at a tipping point, becoming more widely used in demanding consumer applications and high-performance computing. This article describes the rapid evolution of GPU architectures-from graphics processors to massively parallel many-core multiprocessors, recent developments in GPU computing architectures, and how the enthusiastic adoption of CPU+GPU coprocessing is accelerating parallel applications.
Citation impact
955
total citations
- FWCI
- 72.82
- Percentile
- 100%
- References
- 26
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Computer science
- Parallel computing
- Massively parallel
- General-purpose computing on graphics processing units
- Supercomputer
- Graphics
- CUDA
- Symmetric multiprocessor system
UN Sustainable Development Goals
- Affordable and clean energy
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