Static Multi-device Load Balancing for OpenCL

This paper presents the Load Balancing for OpenCL (lbcl) library, devoted to automatically solve load balancing issues on both multi-platform and heterogeneous environments. Using this library, a single kernel can be executed on a set of heterogeneous devices, giving each device an amount of work pr...

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Vydáno v:2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications s. 675 - 682
Hlavní autoři: de la Lama, C. S., Toharia, P., Bosque, J. L., Robles, O. D.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2012
Témata:
Context
Graphics processing unit
heterogeneos environments
Kernel
Libraries
Load balancing
Load management
Merging
multi-platform environments
OpenCL
Performance evaluation
ISBN:1467316318, 9781467316316
ISSN:2158-9178
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Shrnutí:This paper presents the Load Balancing for OpenCL (lbcl) library, devoted to automatically solve load balancing issues on both multi-platform and heterogeneous environments. Using this library, a single kernel can be executed on a set of heterogeneous devices, giving each device an amount of work proportional to its computing power. A wrapper has been developed so the library can balance the workload of an existing application not only without introducing any changes into its source code, but without any recompilation stage. Also a general OpenCL profiler has been developed to easily do a detailed profiling of the obtained results.
ISBN:1467316318
9781467316316
ISSN:2158-9178
DOI:10.1109/ISPA.2012.100