Testing Data: Tests were preformed on a 1000x1000x100 chunk of data. Before Improvements After Optimizing Work Size After Switching to Byte Kernel Trial GPU (s) CPU (s) GPU (s) CPU (s) GPU (s) CPU (s) 1 128.35 1245.51 64.19 1254.71 61.56 1254.71 2 127.85 1240.73 63.71 1247.46 62.26 1241.25 3 131.92 1247.46 64.40 1245.51 62.29 1245.51 4 131.70 1241.25 63.99 1247.66 61.89 1240.73 5 131.72 1247.66 63.68 1240.73 62.00 1247.46 Average 130.31 1244.52 63.99 1247.21 62.00 1245.93 X Speedup 9.55 0.10 19.49 0.05 20.1 0.05
Time to Evaluate 100 Million Points 1400.00 1200.00
Seconds
1000.00 800.00
GPU (s)
600.00
CPU (s)
400.00 200.00 0.00 GPU vs CPU
Time to Evaluate 100 Million Points 140.00 120.00 Seconds
Tests were preformed on a 1000x1000x100 chunk of data ... - GitHub
Testing Data: Tests were preformed on a 1000x1000x100 chunk of data. After Switching to Byte Kernel. Trial ... 1000.00. 1200.00. 1400.00. GPU vs CPU. Seco n.
popular alternatives to single model classifiers. But these are not directly applicable to stream .... build an ensemble with DIME on Hadoop framework. 3.1 Hadoop. Map-Reduce framework: Map-. Reduce is a new distributed programming paradigm introduce
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