| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Outline of Final Research Achievements |
We improved the efficiency of Flint and Flint K3, a parallel general biophysical simulator and a cloud service powered by Flint respectively, and accomplished a practical simulation of large-scale biophysical model.
Our contributions are three auto-parallelization refinement techniques: improving parallel efficiency based on two-layers graph structure, load balancing, and optimizing calculation order and data layout.
For a simulation of a 2D visual cortex neuron model that consists of more than 28 million ODEs, our method achieved 98.7% of parallel efficiency and 27.4 times speed-up.
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