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This project aims to provide a common and convenient environment for evaluating C and C++ compilers' relative performances on some well-known benchmarks and applications.
BEMAP (BEnchMarks for Automatic Parallelizer) is a benchmark used to measure performance for an automatic parallelizer.
All OpenCL code benchmarks covered in this project are done step-by-step along with hand-tunning.
Each tuning step executional time are measured in details with a comprehensive user interface and help option.
The exact implementation in native code (C++) is also provided in each project folder for reference.
A novel and effictive GA algorithm to solve optimization problem
...Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments demonstrate that the proposed method performs promisingly for well-known benchmark problems in the term of optimization accuracy.