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For comparison purposes, we measured the execution times of broad-phase algorithms executing on a CPU and GPU.
To evaluate this, we measured the execution time of all three algorithms.
For the CPU we measured the execution time when using 1, 2, 4 or 8 cores.
approach, we measured the execution times of the four versions using three different image sizes:,, and.
We measured the execution speed of RAMAnalyzer when only a memory image was provided.
We measured the execution time across all business logic functionality in DayTrader and RUBiS under a load of 100 requests per second, for ten minutes.
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We measure the execution time as user time, averaging the results over 100 runs.
We varied the number of jobs issued by the user to measure the execution time required for detecting the frontier.
Finally, we benchmark our detector on embedded platforms to measure the execution time and the power consumption.
Therefore, we have evaluated it experimentally by measuring the execution times for various FPRs and hash function configurations.
The phase detector is designed by instrumenting MPI calls to measure the execution time of each call and the execution time of the program in between calls.
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