| Budget Amount *help |
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2023: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2022: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2021: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2020: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
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| Outline of Final Research Achievements |
This research project was conducted from April 2020 to March 2024 and produced various notable results related to predicting the profiles and traces of parallel applications. More specifically, we developed two methods for predicting the function call and cache miss counts as profile prediction, while we developed two methods for predicting the MPI communication and memory access traces as trace prediction. In addition, we surveyed many profilers used in various platforms such as GPUs and Intel SGX to extend the proposed methods to these platforms. We performed three collaborations with four oversea researchers in this research project. The results of this research project were partially presented in an authorized international workshop and a top journal in the field of high performance computing.
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