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. © 2010 - IOS Press and the authors. All rights reserved.
CITATION STYLE
Brodtkorb, A. R., Dyken, C., Hagen, T. R., Hjelmervik, J. M., & Storaasli, O. O. (2010). State-of-the-art in heterogeneous computing. Scientific Programming, 18(1), 1–33. https://doi.org/10.1155/2010/540159
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