| Budget Amount *help |
¥22,490,000 (Direct Cost: ¥17,300,000、Indirect Cost: ¥5,190,000)
Fiscal Year 2014: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2013: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2012: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2011: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2010: ¥7,410,000 (Direct Cost: ¥5,700,000、Indirect Cost: ¥1,710,000)
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| Outline of Final Research Achievements |
Research was conducted on the use of large-scale parallel environments, whose performance exceeded 10 petaflops, for numerical computation algorithms. These included the fast Fourier transform (FFT), quadruple- and octuple-precision basic linear algebra subprograms (BLAS) on graphics processing units (GPUs), triple- and quadruple-precision floating point operations on GPUs, sparse matrix-vector multiplication on GPUs, and a real symmetric eigenvalue solver operating in a CPU + GPU environment. An evaluation was also carried out of the performance of a newly developed eigenvalue solver and an existing solver in a GPU environment, a high-performance eigenvalue solver employing third-generation NVIDIA GPUs, solution acceleration of simultaneous linear algebraic equations using the Block Krylov algorithm, accuracy improvement of Block Krylov partial space iterative methods, and performance-tuning methods.
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