Modern IT systems that are easy to use and enable sophisticated benchmarking and analysis are essential, as in Aravind.
Businesses looking for ways to provide insights based on data around benchmarks and industry analysis are a big draw in venture capital these days.
The present paper provides a collection of detailed benchmark design and analysis tasks which, while somewhat simplified in nature, reflect the scale and complexity of the tasks encountered in at least one important application domain, namely wind turbine regulation.
This paper describes the new database, and applications of SFCOMPO-2.0 for computer code validation, integral nuclear data benchmarking, and uncertainty analysis in nuclear waste package analysis are briefly illustrated.
This paper presents the final design of the benchmark and the analysis using the deterministic transport, sensitivity and uncertainty code system.
We observe an average of about 17, 22, 19, and 86 simulations for the TCaT, TECH, TECH-CYCLES, and TEMGA heuristics, respectively, considering twelve applications from the Mibench benchmark and the analysis of both branches.
Two representative CFD applications, written using the OP2 framework, are utilized to provide a contrasting benchmarking and performance analysis study on a number of heterogeneous systems including a large scale Cray XE6 system and a large GPU cluster.
Typically, decision making requires the following inputs: (1) specific resource requirements; (2) specific implementation risks; (3) specific benefits, i.e., economics, technology, markets, etc.; (4) benchmarking and comparative analysis of threats and opportunities; and (5) strategic perspective, including long- and short-term value assessment.
Algorithms (PLP and PLS) benchmarking and data analysis was performed by AR, MvS, IAI and RP.
