Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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Outline of Final Research Achievements |
We designed special hardware modules which accelerate aggregation and join operations for stream data process in big data analytics. We also developed a query compiler which generates configuration information for FPGAs from SQL-based query plans as well as distributed system software to utilize a PC cluster with interconnected FPGAs. We have obtained approximately 9.2 times faster join throughput and 58.8 times performance per energy, compared to conventional software-based join operation, on an FPGA-enhanced 4-node PC cluster when a sliding window size is 4096 tuples per node.
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