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Content Provider | IEEE Xplore Digital Library |
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Author | Rabee, F. Yong Liao Maolin Yang Jian Liu Ge Zhu |
Copyright Year | 2014 |
Description | Author affiliation: Sch. of Inf. & Software Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China (Rabee, F.; Yong Liao; Maolin Yang; Jian Liu; Ge Zhu) |
Abstract | Graphics Processing Units (GPU) technologies have been adopted in many real-time applications, due to the developments in the architectures of GPU fit to be used in general purpose operation. Interesting with that we present a platform for hybrid multi-core-GPUs with global/local shared resources, where this platform divided into three parts; first, cluster the multi-core-GPUs-shared resources, where CPUs and GPUs grouped in one cluster with local shared resources and grouped the global shared resources by unique global cluster where the shared resources governed by global and local semaphore. Second, present an innovative mechanism for scheduling GPUs with different shared resources in multi-core system. Third, drive a precise blocking time. The GPU has been tested with many operations by OpenCL language and used the GPU performance with multi-core system depending on local and distributed semaphores evaluations and compare it with MPCP protocol. |
Starting Page | 970 |
Ending Page | 976 |
File Size | 807252 |
Page Count | 7 |
File Format | |
e-ISBN | 9781479958382 |
DOI | 10.1109/BMEI.2014.7002913 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-10-14 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Protocols Multicore processing MPCP Graphics processing units DPCP Real-time systems Hard real-real time systems multi-core-GPUs platform Mathematical model Kernel GHRP |
Content Type | Text |
Resource Type | Article |
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