Oracle's SPARC T7-4 server executing neural network algorithms using Oracle R Enterprise (ORE) is up to two times faster than a four-chip x86 E7 v3 server.
For a neural network with two hidden layers, 10-neuron with 5-neuron hyperbolic tangent, the SPARC T7-4 server is 1.5 times faster than a four-chip x86 T7 v3 server on calculation time.
For a neural network with two hidden layers, 20-neuron with 10-neuron hyperbolic tangent, the SPARC T7-4 server is 2.0 times faster than than a four-chip x86 T7 v3 server on calculation time.
|Oracle Enterprise R Statistics in Oracle Database
(250 million rows)
with Two Hidden Layers
|Elapsed Calculation Time||SPARC Advantage|
|4-chip x86 E7 v3||SPARC T7-4|
|10-neuron + 5-neuron
|520.1 (sec)||337.3 (sec)||1.5x|
|20-neuron + 10-neuron
|1128.4 (sec)||578.1 (sec)||2.0x|
The benchmark is designed to run various statistical analyses using Oracle R Enterprise (ORE) with historical aviation data. The size of the benchmark data is about 35 GB, a single table holding 250 million rows. One of the most popular algorithms, neural network, has been used against the dataset to generate comparable results.
The neural network algorithms support various features. In this workload, the following two neural network features have been used: neural net with two hidden layers 10-neuron with 5-neuron hyperbolic tangent and neural net with two hidden layers 20-neuron with 10-neuron hyperbolic tangent.
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