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Intel® MKL Benchmarks - includes optimized HPCG 3.0 for Intel XEON and Phi
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2015-11-01
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HPCG 2.4 Binary from NVIDIA Optimized for NVIDIA GPUs
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2015-06-15
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This is a binary-only code optimized by NVIDIA employees.
It requires CUDA 6.5 and OpenMPI 1.6 or 1.8.
The number of CPU threads can be controlled with the OMP_NUM_THREADS variable.
The implementation assumes a 1:1 mapping between MPI ranks and GPUs and the code automatically maps them.
For example, to run on two nodes with 4 GPUs each, a similar command should be specified:
mpirun -np 8 ./xhpcg_cuda6.5_openmpi
On K20x a good local problem size is 256x256x128, on K40/K80 256*256*256.
SHA256 b93115e4609d0dc832e389d05524831dcc2ef8ab6ecd3c0353768128549a7c91
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HPCG 2.4 Reference code
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2014-06-03
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Release 2.4 fixes a flop count error introduced in Release 2.2 and not completely resolved in Release 2.3.
SHA256 932ef008995a7d70da714631c18acc6f322c884160d53955ce45f21505372215 |
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HPCG 2.3 Reference code
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2014-06-02
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Release 2.3 fixes a flop count error introduced in Release 2.2.
SHA256 d5a9c8505a0a6e02fbc77c1478189dc2bed6e253cf28dd5dcc29255f2c01b624 |
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HPCG 2.2 Reference code
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2014-05-27
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Release 2.2 reduces the penalty for optimization overhead costs by a factor of 10. It also contain several minor bugfixes.
SHA256 1b1330ab6405f3bf57dea03b60b560518fd1c289b91e53a10e139876a1cfc6a4 |
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License
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