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performance [2017/03/30 10:23]
129.215.62.120 [LiH-HFX]
performance [2019/04/28 13:19]
2a02:908:2221:ede0:7194:cbb5:ee3c:6a7d [H2O-64-RI-MP2]
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 The purpose of the CP2K benchmark suite is to provide performance which can be used to guide users towards the best configuration (e.g. machine, number of MPI processors, number of OpenMP threads) for a particular problem, and give a good estimation for the parallel performance of the code for different types of method. Five benchmarks are provided: ''​H2O-64'',​ ''​Fayalite-FIST'',​ ''​LiH-HFX'',​ ''​H2O-DFT-LS''​ and ''​H2O-64-RI-MP2''​. Descriptions of each benchmark along with performance figures are below. The purpose of the CP2K benchmark suite is to provide performance which can be used to guide users towards the best configuration (e.g. machine, number of MPI processors, number of OpenMP threads) for a particular problem, and give a good estimation for the parallel performance of the code for different types of method. Five benchmarks are provided: ''​H2O-64'',​ ''​Fayalite-FIST'',​ ''​LiH-HFX'',​ ''​H2O-DFT-LS''​ and ''​H2O-64-RI-MP2''​. Descriptions of each benchmark along with performance figures are below.
  
-We encourage you to contribute benchmark results from your own local cluster or HPC system - just run the inputs and add timings in the relevant sections below. ​ Python scripts for generating the scaling graphs are provided [[src>cp2k/tools/​benchmark_plots/​]]. ​ Please also update the [[performance:​systems|list of machines]] for which benchmark data is provided.+We encourage you to contribute benchmark results from your own local cluster or HPC system - just run the inputs and add timings in the relevant sections below. ​ Python scripts for generating the scaling graphs are provided [[src>​tools/​benchmark_plots/​]]. ​ Please also update the [[performance:​systems|list of machines]] for which benchmark data is provided.
  
 If you have any questions or problems running benchmarks or using the scripts please contact Iain Bethune (<​ibethune@epcc.ed.ac.uk>​). If you have any questions or problems running benchmarks or using the scripts please contact Iain Bethune (<​ibethune@epcc.ed.ac.uk>​).
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 === Description === === Description ===
  
-//​Ab-initio//​ molecular dynamics of liquid water using the Born-Oppenheimer approach, using [[Quickstep]] DFT. Production quality settings for the basis sets (TZV2P) and the planewave cutoff (280 Ry) are chosen, and the Local Density Approximation (LDA) is used for the calculation of the Exchange-Correlation energy. ​ The configurations were generated by classical equilibration,​ and the initial guess of the electronic density is made based on Atomic Orbitals. ​ The system contains 64 water molecules (192 atoms, 512 electrons) in a 12.4 Å<​sup>​3</​sup>​ cell.+//​Ab-initio//​ molecular dynamics of liquid water using the Born-Oppenheimer approach, using [[Quickstep]] DFT. Production quality settings for the basis sets (TZV2P) and the planewave cutoff (280 Ry) are chosen, and the Local Density Approximation (LDA) is used for the calculation of the Exchange-Correlation energy. ​ The configurations were generated by classical equilibration,​ and the initial guess of the electronic density is made based on Atomic Orbitals. ​ The system contains 64 water molecules (192 atoms, 512 electrons) in a 12.4 Å<​sup>​3</​sup>​ cell and MD is run for 10 steps.
  
 === Availability === === Availability ===
  
 The benchmark is available (along with other water systems) from the CP2K source distribution:​ The benchmark is available (along with other water systems) from the CP2K source distribution:​
-[[src>cp2k/tests/​QS/​benchmark/​]]+[[src>​tests/​QS/​benchmark/​]]
  
 === Results === === Results ===
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 | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 19.885 | 192 cores | 1 OMP thread per MPI task, no GPU | [[performance:​piz-daint-h2o-64]] | | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 19.885 | 192 cores | 1 OMP thread per MPI task, no GPU | [[performance:​piz-daint-h2o-64]] |
 | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 15.560 | 1152 cores | 9 OMP threads per MPI task | [[performance:​cirrus-h2o-64]] | | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 15.560 | 1152 cores | 9 OMP threads per MPI task | [[performance:​cirrus-h2o-64]] |
 +| Noctua | Cray CS500 | 27/04/2019 | 3cf5f249 | 16.5 | 320 cores | 1 OMP thread per MPI task | [[performance:​noctua-h2o-64]] |
 +
 ==== Fayalite-FIST ==== ==== Fayalite-FIST ====
  
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 The benchmark is available from the CP2K source distribution:​ The benchmark is available from the CP2K source distribution:​
-[[src>cp2k/tests/​Fist/​benchmark/​]]+[[src>​tests/​Fist/​benchmark/​]]
  
 === Results === === Results ===
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 | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 207.972 | 512 cores | 2 OMP threads per MPI task, no GPU | [[performance:​piz-daint-fayalite-fist]] | | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 207.972 | 512 cores | 2 OMP threads per MPI task, no GPU | [[performance:​piz-daint-fayalite-fist]] |
 | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 166.192 | 576 cores | 2 OMP threads per MPI task | [[performance:​cirrus-fayalite-fist]] | | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 166.192 | 576 cores | 2 OMP threads per MPI task | [[performance:​cirrus-fayalite-fist]] |
 +| Noctua | Cray CS500 | 27/04/2019 | 3cf5f249 | 139.177 | 320 cores | 1 OMP thread per MPI task | [[performance:​noctua-fayalite-fist]] |
  
 ==== LiH-HFX ==== ==== LiH-HFX ====
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 === Availability === === Availability ===
  
-The benchmark is available from [[src>cp2k/tests/​QS/​benchmark_HFX/​LiH/​]].+The benchmark is available from [[src>​tests/​QS/​benchmark_HFX/​LiH/​]].
  
 === Results === === Results ===
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 | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 66.051 | 32768 cores | 4 OMP threads per MPI task, no GPU | [[performance:​piz-daint-lih-hfx]] | | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 66.051 | 32768 cores | 4 OMP threads per MPI task, no GPU | [[performance:​piz-daint-lih-hfx]] |
 | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 483.676 | 2016 cores | 6 OMP threads per MPI task | [[performance:​cirrus-lih-hfx]] | | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 483.676 | 2016 cores | 6 OMP threads per MPI task | [[performance:​cirrus-lih-hfx]] |
 +| Noctua | Cray CS500 | 27/04/2019 | 3cf5f249 | 203.092 | 5120 cores | 1 OMP thread per MPI task | [[performance:​noctua-lih-hfx]] |
  
 (*) Prior to r14945, a bug resulted in an underestimation of the number of ERIs which should be computed (by roughly 50% for this benchmark. ​ Therefore these results cannot be compared directly with later ones. (*) Prior to r14945, a bug resulted in an underestimation of the number of ERIs which should be computed (by roughly 50% for this benchmark. ​ Therefore these results cannot be compared directly with later ones.
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 The benchmark input file used to generate these results is {{performance:​h2o-dft-ls-4.inp.gz|available here}}. The benchmark input file used to generate these results is {{performance:​h2o-dft-ls-4.inp.gz|available here}}.
  
-It is a slightly modified version of the more general one in the CP2K SVN at [[src>cp2k/tests/​QS/​benchmark_DM_LS/​H2O-dft-ls.inp]],​ where the problem size can be tuned by a parameter NREP. +It is a slightly modified version of the more general one in the CP2K SVN at [[src>​tests/​QS/​benchmark_DM_LS/​H2O-dft-ls.inp]],​ where the problem size can be tuned by a parameter NREP. 
  
 === Results === === Results ===
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 | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 27.900 | 32768 cores | 2 OMP threads per MPI task, no GPU | [[performance:​piz-daint-h2o-dft-ls]] | | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 27.900 | 32768 cores | 2 OMP threads per MPI task, no GPU | [[performance:​piz-daint-h2o-dft-ls]] |
 | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 543.032 | 2016 cores | 2 OMP threads per MPI task | [[performance:​cirrus-h2o-dft-ls]] | | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 543.032 | 2016 cores | 2 OMP threads per MPI task | [[performance:​cirrus-h2o-dft-ls]] |
 +| Noctua | Cray CS500 | 27/04/2019 | 3cf5f249 | 77.413 | 5120 cores | 1 OMP thread per MPI task | [[performance:​noctua-h2o-dft-ls]] |
 +
 ==== H2O-64-RI-MP2 ==== ==== H2O-64-RI-MP2 ====
  
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 === Availability === === Availability ===
  
-The benchmark is in the CP2K SVN at: [[src>cp2k/tests/​QS/​benchmark_mp2_rpa/​64-H2O/​]].+The benchmark is in the CP2K SVN at: [[src>​tests/​QS/​benchmark_mp2_rpa/​64-H2O/​]].
  
 === Results === === Results ===
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 | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 48.15 | 32768 cores | 8 OMP threads per MPI task, no GPU | [[performance:​piz-daint-h2o-64-ri-mp2]] | | Piz Daint | Cray XC30 | 12/05/2015 | 15268 | 48.15 | 32768 cores | 8 OMP threads per MPI task, no GPU | [[performance:​piz-daint-h2o-64-ri-mp2]] |
 | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 303.571 | 2016 cores | 1 OMP thread per MPI task | [[performance:​cirrus-h2o-64-ri-mp2]] | | Cirrus | SGI ICE XA | 24/11/2016 | 17566 | 303.571 | 2016 cores | 1 OMP thread per MPI task | [[performance:​cirrus-h2o-64-ri-mp2]] |
 +| Noctua | Cray CS500 | 27/04/2019 | 3cf5f249 | 101.617 | 5120 cores | 1 OMP thread per MPI task | [[performance:​noctua-h2o-64-ri-mp2]] |
 +
performance.txt · Last modified: 2019/11/18 15:13 by jwilhelm