2010：State-of-the-art in Heterogeneous Computing
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2022-06-26 11:54:38
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文章目录
[1] Brodtkorb A R , Christopher D , Hagen T R , et al. State-of-the-Art in Heterogeneous Computing[J]. Scientific Programming, 2010, 18(1):1-33.
Abstract.
- Node level heterogeneous architectures have become attractive
- compared to traditional symmetric CPUs,
- high peak performance
- energy and/or cost efficient.
- With the increase of fine-grained parallelism in high-performance computing,
- the introduction of parallelism in workstations,
- acute need for a good overview and understanding of these architectures.
- give an overview of the state-of-the-art in heterogeneous computing,
- focusing on three commonly found architectures:
- the Cell Broadband Engine Architecture,
- graphics processingunits (GPUs),
- (FPGAs)
- present are view of hardware,
- available softwaretools,
- an overview of state-of-the-art techniques and algorithms.
- a qualitative and quantitative comparison of the architectures,
- give our view on the future of heterogeneous computing.
- Power-efficient architectures,
- parallel computer architecture,
- stream or vector architectures,
- energy and power consumption,
- microprocessor performance