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Qtc
adanalis edited this page Mar 2, 2012
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Description: Measures performance of the Quality Threshold Clustering algorithm.
Problem Sizes (number of points, threshold)
- s=1 (8192, 3)
- s=2 (20000, 3)
- s=3 (32768, 1)
- s=4 (65536, 1)
With these sizes, a run on a Tesla C2070, will take approximately: 0.1, 2, 20, or 200 seconds
Precision: float
Includes PCIe Transfer Time: Yes, in [testName]_PCIe measurements
Parameters
- -s, sample problem sizes (overrides all other parameters)
- --PointCount, point count
- --DataFile, BLAST data input file name
- --Threshold, cluster diameter threshold
- --SaveOutput, BLAST data input file name
- --Verbose, Print cluster cardinalities (duplicates verbose? -s? -K)
- --TextureMem, Use Texture memory for distance matrix
- --Dense, Enable the use of a dense distance matrix regardless of problem size
Specific Tests
- TBD - achieved GFLOPS?
- TBD - achieved GFLOPS