Skip to content
adanalis edited this page Mar 6, 2012 · 7 revisions

Quality Threshold Clustering (QTC)

Description: Measures performance of the Quality Threshold Clustering algorithm.

Problem Sizes (number of points, threshold)

  • s=1 ( 8*1024, 1)
  • s=2 (16*1024, 1)
  • s=3 (16*1024, 4)
  • s=4 (26*1024, 1)

With these sizes, a run on a Tesla C2070, will take approximately: 3.5, 16, 90 and 550 seconds respectively

Precision: float

Includes PCIe Transfer Time: Yes, in [testName]_PCIe measurements

Parameters

  • --s, preselected problem sizes (overrides all other parameters)
  • --PointCount, point count
  • --DataFile, BLAST data input file name
  • --Threshold, cluster diameter threshold
  • --SaveOutput, save the resulting clusters in different files
  • --Verbose, print cluster cardinalities
  • --TextureMem, use Texture memory for distance matrix
  • --Dense, use the compact storage distance matrix regardless of problem size

Specific Tests

  • TBD - achieved GFLOPS?
  • TBD - achieved GFLOPS
Clone this wiki locally