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Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs
Abstract
The paper proposes an approach for parallelization of computations across a collection of clusters with heterogeneous nodes with both GPUs and CPUs. The proposed system partitions input data into chunks and assigns to par- ticular devices for processing using OpenCL kernels defined by the user. The sys- tem is able to minimize the execution time of the application while maintaining the power consumption of the utilized GPUs and CPUs below a given threshold. We present real measurements regarding performance and power consumption of various GPUs and CPUs used in a modern parallel system. Furthermore we show, for a parallel application for breaking MD5 passwords, how the execution time of the real application changes with various upper bounds on the power consumption.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 15th International Conference on Distributed Computing and Networking (ICDCN) strony 66 - 80
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Czarnul P., Rościszewski P..: Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs, W: 15th International Conference on Distributed Computing and Networking (ICDCN), 2014, Springer,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-642-45249-9_5
- Verified by:
- Gdańsk University of Technology
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