Lopez-Novoa, Unai, Mendiburu, Alexander and Miguel-Alonso, Jose 2015. A survey of performance modeling and simulation techniques for accelerator-based computing. IEEE Transactions on Parallel and Distributed Systems 26 (1) , pp. 272-281. 10.1109/TPDS.2014.2308216 |
Abstract
The high performance computing landscape is shifting from collections of homogeneous nodes towards heterogeneous systems, in which nodes consist of a combination of traditional out-of-order execution cores and accelerator devices. Accelerators, built around GPUs, many-core chips, FPGAs or DSPs, are used to offload compute-intensive tasks. The advent of this type of systems has brought about a wide and diverse ecosystem of development platforms, optimization tools and performance analysis frameworks. This is a review of the state-of-the-art in performance tools for heterogeneous computing, focusing on the most popular families of accelerators: GPUs and Intel's Xeon Phi. We describe current heterogeneous systems and the development frameworks and tools that can be used for developing for them. The core of this survey is a review of the performance models and tools, including simulators, proposed in the literature for these platforms.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Uncontrolled Keywords: | Accelerator-based computing; heterogeneous systems; GPGPU; performance modeling |
Publisher: | Institute of Electrical and Electronics Engineers |
ISSN: | 1045-9219 |
Last Modified: | 25 Jun 2020 13:42 |
URI: | https://orca.cardiff.ac.uk/id/eprint/105967 |
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