2H 2015
intel-xeon-phi-sw-ecosystem-guide-2h-2015-public3 intel-xeon-phi-sw-ecosystem-guide-2h-2015-public3
Comparative Increase HPCG* benchmark Conjugate gradient method 5 4 3 2 1 0 1.7X HPCG Benchmark Speed Up 4.48X 3.14X 3.27X 2.95X 4.15X 5.67X 5.31X 1 1 1 3.04X 1 node 4 nodes 16 nodes Intel® Xeon® processor E5-2697 v3 (reference) Intel® Xeon® processor E5-2697 v3 (optimized) Xeon E5-2697 v3 + Xeon Phi 7120A (symmetric) Xeon E5-2697 v3 + 2 Xeon Phi 7120A (offload) Xeon E5-2697 v3 + 2 Xeon Phi 7120A (symmetric) 3.95X “Xeon E5-2697 v3” = Intel® Xeon® processor E5-2697 v3 “Xeon Phi 7120A” = Intel® Xeon Phi coprocessor 7120A 4.59X 5.23X CLUSTER BENCHMARK 16 NODES APPROVED FOR PUBLIC PRESENTATION NEW Application: HPCG benchmark Description: The HPCG benchmark is intended to complement the High Performance LINPACK benchmark used in the TOP500* system ranking by providing a metric that better aligns with a broader set of important cluster applications. The workload performs 50 iterations of CG method with Gauss-Seidel preconditioner and synthetic multigrid V-cycle. Availability: • Code: Available here. Intel Optimized Technical Preview for HPCG benchmark available by subscription. Contact intelmkl@intel.com. • Recipe: Available here. Usage Model: HPCG is a hybrid (MPI + OpenMP*) code supporting symmetric and offload modes. The reference version is pure MPI code running one rank per core. Highlights: Symmetric mode provides performance benefit by freeing CPU cores used by data transfer in offload for computations. Results: Optimized version demonstrated 1.7X performance improvement compared to reference implementation and 4.48X with 2 Intel® Xeon Phi single node. For configuration details, go here. SOURCE: INTEL MEASURED RESULTS AS OF MAY, 2015 Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to http://www.intel.com/performance *Other names and brands may be claimed as the property of others 52
Comparative Performance Sandia Mantevo* MiniFE-2.0.1 2 1 0 1 Sandia Mantevo* MiniFE 2.0.1 Speed Up 1.1X 2.14X 2.58X 1 node 8 nodes Intel® Xeon® processor E5-2697 v2 Intel® Xeon® processor E5-2697 v3 Xeon E5-2697 v3 + 1 Intel® Xeon Phi coprocessor 7120A Xeon E5-2697 v3 + 2 Intel® Xeon Phi coprocessor 7120A “Xeon E5-2697 v3” = Intel® Xeon® processor E5-2697 v3 1 1.2X 2.23X 2.49X CLUSTER BENCHMARK 8 NODES Application: Sandia Mantevo* MiniFE 2.0.1. Description: Sandia National Laboratories; Intended to be the best approximation to an unstructured implicit finite that includes all important computational phases. More at https://mantevo.org. Availability: • Code: Available here. • Recipe: Available here. APPROVED FOR PUBLIC PRESENTATION NEW Usage Model: Baseline is the Intel® Xeon® processor E5- 2697 v2 host, and the host and the Intel® Xeon Phi coprocessor in a symmetric mode. Highlight: Porting ease using OpenMP*. The Intel® MPI Library enables rapid performance improvement when adding an Intel Xeon Phi coprocessor. Results: Up to 2.58X speed up for the Intel® Xeon® processor E5-2697 v3 and the Intel® Xeon Phi coprocessor 7120A in symmetric mode over the host. For configuration details, go here. SOURCE: INTEL MEASURED RESULTS AS OF APRIL, 2015 Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to http://www.intel.com/performance *Other names and brands may be claimed as the property of others 53
- Page 1 and 2: 2H 2015
- Page 3 and 4: Intel® Modern Code Developer Chall
- Page 5 and 6: New or Updated Proof Points NEW pro
- Page 7 and 8: Intel® Xeon Phi Coprocessors Softw
- Page 9 and 10: Intel® Xeon® Processor E5-2697 v2
- Page 11 and 12: Memory Capacity (GB) Memory Compari
- Page 13 and 14: A Growing Ecosystem: The Intel® Xe
- Page 15 and 16: Comparative Performance LAMMPS* Sti
- Page 17 and 18: Comparative Performance Johns Hopki
- Page 19 and 20: Comparative Performance 1 0 BLAST*
- Page 21 and 22: Comparative Performance NAMD* 2.10
- Page 23 and 24: Comparative Performance LAMMPS* Liq
- Page 25 and 26: Comparative Performance LAMMPS* Rho
- Page 27 and 28: Comparative Performance LAMMPS* Liq
- Page 29 and 30: Comparative Performance LAMMPS* Rho
- Page 31 and 32: Comparative Performance LAMMPS* Pro
- Page 33 and 34: Comparative Performance AMBER* 14 P
- Page 35 and 36: Comparative Performance AMBER* 14 P
- Page 37 and 38: Comparative Performance Burrows-Whe
- Page 39 and 40: Comparative Performance NWChem* CCS
- Page 41 and 42: Discover and design like never befo
- Page 43 and 44: Comparative Performance miniGhost*
- Page 45 and 46: Comparative Performance Quantum ESP
- Page 47 and 48: Comparative Performance ANSYS Mecha
- Page 49 and 50: Comparative Performance ANSYS Mecha
- Page 51: Comparative Performance ANSYS Mecha
- Page 55 and 56: Comparative Increase Autodesk Maya*
- Page 57 and 58: Comparative Performance OpenLB* Cyl
- Page 59 and 60: CLUSTER BENCHMARKS New Data Center
- Page 61 and 62: Comparative Performance Monte Carlo
- Page 63 and 64: Comparative Performance QuantLib* S
- Page 65 and 66: Comparative Performance Monte Carlo
- Page 67 and 68: Comparative Performance Monte Carlo
- Page 69 and 70: Comparative Performance Monte Carlo
- Page 71 and 72: Comparative Performance Xcelerit* L
- Page 73 and 74: Comparative Increase 1 0 Iso3DFD* 1
- Page 75 and 76: Comparative Performance Petrobras*
- Page 77 and 78: CLUSTER BENCHMARK Data Center Serve
- Page 79 and 80: Comparative Performance BerkeleyGW*
- Page 81 and 82: Comparative Performance ASKAP* tHog
- Page 83 and 84: Comparative Increase specfem3D 300K
- Page 85 and 86: CLUSTER BENCHMARK 6,400 NODES APPRO
- Page 87 and 88: Comparative Performance Gyrokinetic
- Page 89 and 90: Comparative Increase ROMS* Idealize
- Page 91 and 92: Comparative Performance NASA* OVERF
- Page 93 and 94: Improving speed and quality through
- Page 95 and 96: Comparative Performance Embree 2.2
- Page 97 and 98: Intel® Software Development Tools
- Page 99 and 100: Features and Configurations Intel®
- Page 101 and 102: Speedup Turn Big Data Into Informat
Comparative Increase<br />
HPCG* benchmark<br />
Conjugate gradient method<br />
5<br />
4<br />
3<br />
2<br />
1<br />
0<br />
1.7X<br />
HPCG Benchmark Speed Up<br />
4.48X<br />
3.14X 3.27X<br />
2.95X<br />
4.15X<br />
5.67X<br />
5.31X<br />
1 1 1<br />
3.04X<br />
1 node 4 nodes 16 nodes<br />
Intel® Xeon® processor E5-2697 v3 (reference)<br />
Intel® Xeon® processor E5-2697 v3 (optimized)<br />
Xeon E5-2697 v3 + Xeon Phi 7120A (symmetric)<br />
Xeon E5-2697 v3 + 2 Xeon Phi 7120A (offload)<br />
Xeon E5-2697 v3 + 2 Xeon Phi 7120A (symmetric)<br />
3.95X<br />
“Xeon E5-2697 v3” = Intel® Xeon® processor E5-2697 v3<br />
“Xeon Phi 7120A” = Intel® Xeon Phi coprocessor 7120A<br />
4.59X<br />
5.23X<br />
CLUSTER BENCHMARK<br />
16 NODES APPROVED FOR PUBLIC PRESENTATION<br />
NEW<br />
Application: HPCG benchmark<br />
Description: The HPCG benchmark is intended to complement the<br />
High Performance LINPACK benchmark used in the TOP500* system<br />
ranking by providing a metric that better aligns with a broader set of<br />
important cluster applications. The workload performs 50 iterations of<br />
CG method with Gauss-Seidel preconditioner and synthetic multigrid<br />
V-cycle.<br />
Availability:<br />
• Code: Available here. Intel Optimized Technical Preview for HPCG<br />
benchmark available by subscription. Contact intelmkl@intel.com.<br />
• Recipe: Available here.<br />
Usage Model:<br />
HPCG is a hybrid (MPI + OpenMP*) code supporting symmetric and<br />
offload modes. The reference version is pure MPI code running one<br />
rank per core.<br />
Highlights:<br />
Symmetric mode provides performance benefit by freeing CPU cores<br />
used by data transfer in offload for computations.<br />
Results:<br />
Optimized version demonstrated 1.7X performance improvement<br />
compared to reference implementation and 4.48X with 2 Intel® Xeon<br />
Phi single node.<br />
For configuration details, go here.<br />
SOURCE: INTEL MEASURED RESULTS AS OF MAY, <strong>2015</strong><br />
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems,<br />
components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated<br />
purchases, including the performance of that product when combined with other products. For more information go to http://www.intel.com/performance *Other names and brands may be claimed as the property of others<br />
52
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