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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.
By using these benchmarks, one may analyze:
1. How to tune/optimize the auto-parallelizer's compiler
2. Whether the appropriate optimization procedure is provided within the compiler
This project is partially funded by the Department of the New Energy and Industrial Technology Development Organization (NEDO).
Features
- Gaussian Filter
- Black-Scholes
- Linear Search
- Grayscale
- SIFT (Scale-Invariant Feature Transform) -- demo included!
- Runlength Encoding
- MonteCarlo for Simulating Option Pricing
- BackProjection
Categories
Performance TestingLicense
BSD LicenseFollow bemap
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