| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
In order to reduce the communication cost in large-scale parallel computations, so-called communication-avoiding (CA) algorithms for matrix factorization have been actively studied. In this research, we aimed for improving the practicality of CA algorithms in realistic situations. We investigated fundamental techniques for CA algorithms: for example, those for implementing and tuning CA algorithms. We also compared different CA algorithms. In addition, we studied the performance modeling of CA algorithms.
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