Acceleration of algebraic multigrid solver on APU
| Project/Area Number |
24650014
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Software
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| Research Institution | Kogakuin University |
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Principal Investigator |
FUJII Akihiro 工学院大学, 情報学部, 講師 (10383986)
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| Co-Investigator(Kenkyū-buntansha) |
NUKADA Akira 東京工業大学, 学術国際情報センター, 産学連携研究員 (40545688)
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| Project Period (FY) |
2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
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| Keywords | 代数的多重格子法 / 混合精度解法 / GPGPU |
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| Research Abstract |
We studied efficient implementation technique of algebraic multigrid method on APU which has CPU cores and GPU cores in one chip. In order to minimize the communication between CPU cores and GPU cores, and to exploit GPU cores’ performance at most, we tested the mixed precision solver that iterates algebraic multigrid method with single precision on GPU cores, and calculate the residual vector with double precision on CPU cores. As a result, mixed precision method works well for algebraic multigrid method. For typical Poisson problems with convergence criterion of relative residual norm of 1.0E-7, precision correction needs only 3 times in our numerical test and there are little CPU-GPU communication. This method can be applied to Ivy Bridge and Haswell.
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Report
(2 results)
Research Products
(17 results)
