| Budget Amount *help |
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2014: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
Fiscal Year 2013: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2012: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
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| Outline of Final Research Achievements |
The stream-based program has been applied among scientific and industrial computations due to the widely populated manycore accelerators such as GPU. The performance of single GPU is high due to the massively parallel execution of the program. However, considering parallel computing using multiple accelerators, programmers must consider a method for parallelization of the program and its communication timings of the divided programs. Therefore, it is hard to maintain the performance from the parallelized program. This research project aims to develop a programming foundation that can parallelize the stream-based program into multiple GPUs automatically and achieves a scalable performance from the parallel program for GPU.
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