Memory-Access-Driven Context Partitioning for Window-Based Image Processing on Heterogeneous Multicore Processors
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- WAIDYASOORIYA Hasitha Muthumala
- Graduate School of Information Sciences, Tohoku University
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- OHBAYASHI Yosuke
- Graduate School of Information Sciences, Tohoku University
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- HARIYAMA Masanori
- Graduate School of Information Sciences, Tohoku University
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- KAMEYAMA Michitaka
- Graduate School of Information Sciences, Tohoku University
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Abstract
Accelerator cores in low-power heterogeneous processors have on-chip local memories to enable parallel data access. The memory capacities of the local memories are very small. Therefore, the data should be transferred from the global memory to the local memories many times. These data transfers greatly increase the total processing time. Memory allocation technique to increase the data sharing is a good solution to this problem. However, when using reconfigurable cores, the data must be shared among multiple contexts. However, conventional context partitioning methods only consider how to reuse limited hardware resources in different time slots. They do not consider the data sharing. This paper proposes a context partitioning method to share both the hardware resources and the local memory data. According to the experimental results, the proposed method reduces the processing time by more than 87% compared to conventional context partitioning techniques.
Journal
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E95-D (2), 354-363, 2012
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1390282679355867264
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- NII Article ID
- 10030610579
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- NII Book ID
- AA10826272
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- ISSN
- 17451361
- 09168532
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed