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Comparative Performance<br />

Gyrokinetic Toroidal Code*<br />

Princeton (GTC-P)<br />

CLUSTER BENCHMARK<br />

4 NODES<br />

APPROVED FOR PUBLIC PRESENTATION<br />

GTC-P 4 Node Cluster Speed Up<br />

1<br />

1<br />

0<br />

4x 2S Intel® Xeon® processor E5-2697 v2<br />

1.18X<br />

Application: The gyrokinetic toroidal code (GTC) is a<br />

particle-in-cell code for turbulence simulation in support<br />

of the burning plasma experiment ITER, the crucial next<br />

step in the quest for fusion energy*. GTC-P is optimized<br />

GTC code developed at Princeton Plasma Physics Lab.<br />

More here.<br />

Availability:<br />

• Code: Available here.<br />

• Recipe: Available here.<br />

Usage Model: Hybrid MPI + OpenMP* using symmetric<br />

processing.<br />

Results: GTC-P shows performance increase of up to<br />

1.18X on 4 node Intel® Xeon® processor E5-2697 v2 +<br />

Intel® Xeon Phi coprocessor 7120P clusters.<br />

4x 2S Intel® Xeon® processor E5-2697 v2 + Intel® Xeon Phi coprocessor (C0-<br />

7120P)<br />

For configuration details, go here.<br />

SOURCE: INTEL MEASURED RESULTS AS OF DECEMBER, 2013<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 />

87

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