Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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Outline of Final Research Achievements |
For common programmers unfamiliar with parallel processing and GPGPU to easily utilize the high performance of GPUs, we designed concise and convenient MapReduce API which enables us to write MapReduce programs in serial C language. Moreover, based on the MapReduce API, we developed prototype compilers: (1) a compiler for serial C language, (2) a compiler for OpenMP, (3) a compiler for a single GPU, (4) a compiler for multiple GPUs in a PC.
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