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HPC Challenge Benchmark combines several benchmarks to test a number of independent attributes of the performance of high-performance computer (HPC) systems. The project has been co-sponsored by the DARPA High Productivity Computing Systems program, the United States Department of Energy and the National Science Foundation .
Compared to software profilers, hardware counters provide low-overhead access to a wealth of detailed performance information related to CPU's functional units, caches and main memory etc. Another benefit of using them is that no source code modifications are needed in general.
A link between a gas turbine compressor and its engine can be shown with lines of constant engine temperature ratio, ie the effect of fuelling/increased turbine temperature which raises the running line as the temperature ratio increases. One manifestation of different behaviour appears in the choke region on the right-hand side of a map.
TOP500 ranks the world's 500 fastest high-performance computers, as measured by the High Performance LINPACK (HPL) benchmark. Not all existing computers are ranked, either because they are ineligible (e.g., they cannot run the HPL benchmark) or because their owners have not submitted an HPL score (e.g., because they do not wish the size of their system to become public information, for defense ...
The HPCMP provides supercomputers, a national research network, high-end software tools, a secure environment, and computational science experts [2] that together enable the Defense laboratories and test centers to conduct research, development, test and technology evaluation activities. [3]
The number of test cases per input data set is: n C 1 + n C 1 + … + n C 1 = 2 n-1 Where n = total number of synchronization, process creation and communication calls. This equation has exponential order. In order to reduce the number of test cases, either Deterministic Execution Method (DET) or Multiple Execution Technique (MET) is used ...
ecu.test automates the control of the whole test environment and supports a broad range of test tools. Various abstraction layers for measured quantities allow its application on different testing levels, e.g. within the context of model in the loop, software in the loop and hardware in the loop as well as in real systems (vehicle and driver in the loop).
Since Linux version 2.6.32, and PAPI 2010 releases, PAPI can leverage the existing perf subsystem in Linux, and thus does not need any out of tree driver to be functional anymore. Supported Operating Systems and requirements are listed in the official repository's documentation INSTALL.txt.