ByteEasy

Cluster GPU Quadruple Extra Large 22 GB memory: 22 GB EC2 Compute Units: 33.5 , GPU: 2 x NVIDIA Tesla “Fermi” M2050 GPUs, 1690 GB of local instance storage, 64-bit platform, 10 Gigabit Ethernet cores each: 448 os: CENTOS 64bit Monte Carlo on One Telsa Device Options : 256 Simulation paths CPU GPU Time (ms.) options/sec. Time (ms.) options/sec. 262144 6000 42 3.586 71388 Monte Carlo on Two Telsa Devices Options : 256 split across two Tesla boards Simulation paths CPU GPU Time (ms.) options/sec. Time (ms.) options/sec. 262144 6000 42 3.405 151999 TOTAL Cost: $0.04 including building the environment and sample code from scratch. CUDA Device Query (Runtime API) version (CUDART static linking) There are 2 devices supporting CUDA Device 0: "Tesla M2050" CUDA Driver Version: 3.20 CUDA Runtime Version: 3.10 CUDA Capability Major/Minor version number: 2.0 Total amount of...

Couchdb 0.11.0 2x3 QUAD-Core Intel Xeon 16 GB 667Mhz DDR2 OS X 10.6.4 Inserting NUM BLOCK time Bytes Mb/s records/s 1 1 0.0030 1 0.000 330 10 1 0.0251 100 0.004 398 1000 1 3.2415 1000000 0.308 308 10000 1 34.6263 100000000 2.888 289 1000 10 3.4122 10610000 3.109 2931 100 100 1.5112 10601000 7.015 6617 10 1000 1.9464 10600100 5.446 5138 2 5000 2.3308 10600020 4.548 4290 1 10000 2.0068 10600010 5.282 4983 10 10000 15.7176 106000100 6.744 6362 Average Top: 33423 beam.smp 48.9 05:42.89 13 0 62 151- 39M- 264K 33421 CouchDBX 12.9 00:52.85 6/1 3 124- 322 77M- 29M