SPEC ACCEL: A standard application suite for measuring hardware accelerator performance. Juckeland, G., Brantley, W., Chandrasekaran, S., Chapman, B., Che, S., Colgrove, M., Feng, H., Grund, A., Henschel, R., Hwu, W., Li, H., Müller, M., S., Nagel, W., E., Perminov, M., Shelepugin, P., Skadron, K., Stratton, J., Titov, A., Wang, K., Van Waveren, M., Whitney, B., Wienke, S., Xu, R., & Kumaran, K. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8966:46-67, Springer Verlag, 2015. ![SPEC ACCEL: A standard application suite for measuring hardware accelerator performance [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex Hybrid nodes with hardware accelerators are becoming very common in systems today. Users often find it difficult to characterize and understand the performance advantage of such accelerators for their applications. The SPEC High Performance Group (HPG) has developed a set of performance metrics to evaluate the performance and power consumption of accelerators for various science applications. The new benchmark comprises two suites of applications written in OpenCL and OpenACC and measures the performance of accelerators with respect to a reference platform. The first set of published results demonstrate the viability and relevance of the new metrics in comparing accelerator performance. This paper discusses the benchmark suites and selected published results in great detail. © Springer International Publishing Switzerland 2015.
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title = {SPEC ACCEL: A standard application suite for measuring hardware accelerator performance},
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abstract = {Hybrid nodes with hardware accelerators are becoming very common in systems today. Users often find it difficult to characterize and understand the performance advantage of such accelerators for their applications. The SPEC High Performance Group (HPG) has developed a set of performance metrics to evaluate the performance and power consumption of accelerators for various science applications. The new benchmark comprises two suites of applications written in OpenCL and OpenACC and measures the performance of accelerators with respect to a reference platform. The first set of published results demonstrate the viability and relevance of the new metrics in comparing accelerator performance. This paper discusses the benchmark suites and selected published results in great detail. © Springer International Publishing Switzerland 2015.},
bibtype = {article},
author = {Juckeland, G and Brantley, W and Chandrasekaran, S and Chapman, B and Che, S and Colgrove, M and Feng, H and Grund, A and Henschel, R and Hwu, W.-M.W. and Li, H and Müller, M S and Nagel, W E and Perminov, M and Shelepugin, P and Skadron, K and Stratton, J and Titov, A and Wang, K and Van Waveren, M and Whitney, B and Wienke, S and Xu, R and Kumaran, K},
editor = {Hammond S.D. Jarvis S.A., Wright S A},
doi = {10.1007/978-3-319-17248-4_3},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}
}
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