| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
It is investigated to improve statistical calculation with parallel processing algorithms under an environment with a group of computers having multicore CPUs. In order to implementing parallel algorithms, characteristics of shared memory parallelism and distributed memory parallelism are taken into account and hybrid type processing with both approaches is devised to achieve overall efficiency of algorithms. First, general methods of task management are examined to parallelize Monte Carlo quadrature as a hybrid parallel processing and it is followed by investigating ways to parallelize specific algorithms of actual statistical analyses, such as probability variation model for discrete response data and exact inference of logistic regression analysis.
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