Dell PowerEdge C4140 Deep Learning Performance Comparison - Scale-up vs. Scale - Page 12

Test Methodology

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Deep Learning Performance: Scale-up vs Scale-out Figure 6: Frameworks Comparison 4 Test Methodology The test methodology consists of 3 distinct phases. Phase 1 is where we test the hardware performance of each server using NVidia supplied p2pbandwidth and latency tests and Baidu Deep Bench. This is explained in section Phase 1. Phase 2 we used TensorFlow framework and ran some of the well-known neural models to compare performance in terms of throughput & training time. This is explained in section Phase 2. Phase 3 we used TensorFlow but compared performance at multi-node level using Uber's Horovod implementation. Architectures & Technologies Dell EMC | Infrastructure Solutions Group 11

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Deep Learning Performance: Scale-up vs Scale-out
Architectures & Technologies
Dell
EMC
| Infrastructure Solutions Group
11
Figure 6: Frameworks Comparison
4
Test Methodology
The test methodology consists of 3 distinct phases.
Phase 1 is where we test the hardware performance of each server using NVidia supplied
p2pbandwidth and latency tests and Baidu Deep Bench. This is explained in section Phase 1.
Phase 2 we used TensorFlow framework and ran some of the well-known neural models to
compare performance in terms of throughput & training time. This is explained in section Phase
2.
Phase 3 we used TensorFlow but compared performance at multi-
node level using Uber’s
Horovod implementation.