The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
State-of-the-art in Heterogeneous Computing
Open accessAbstract
Node level heterogeneous architectures have become attractive during the last decade for several reasons: compared to traditional symmetric CPUs, they offer high peak performance and are energy and/or cost efficient. With the increase of fine-grained parallelism in high-performance computing, as well as the introduction of parallelism in workstations, there is an acute need for a good overview and understanding of these architectures. We give an overview of the state-of-the-art in heterogeneous computing, focusing on three commonly found architectures: the Cell Broadband Engine Architecture, graphics processing units (GPUs), and field programmable gate arrays (FPGAs). We present a review of hardware, available software tools, and an overview of state-of-the-art techniques and algorithms. Furthermore, we present a qualitative and quantitative comparison of the architectures, and give our view on the future of heterogeneous computing.
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Cites
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Cited by
Graphics processing unit (GPU) programming strategies and trends in GPU computing
Brodtkorb, A. R., Hagen, T. R., & Sætra, M. L. (2013) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2012.04.003 · Cited by 283
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Metadata
- Authors
- Brodtkorb, A. R., Dyken, C., Hagen, T. R., Hjelmervik, J. M., & Storaasli, O. O.
- Venue
- Scientific Programming
- Publisher
- Wiley
- Published
- 2010
- Volume
- 18
- Issue
- 1
- Pages
- 1-33
- ISSN
- 1058-9244 (ISSN-L)
- 1875-919X
- OpenAlex
- W2148802605
- Cited by
- 257
- References
- 87
- FWCI
- 43.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Brodtkorb, A. R., Dyken, C., Hagen, T. R., Hjelmervik, J. M., & Storaasli, O. O. (2010). State-of-the-art in Heterogeneous Computing. Scientific Programming. https://doi.org/10.1155/2010/540159
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