Dell PowerEdge C4140 Deep Learning Performance Comparison - Scale-up vs. Scale - Page 4

Deep Learning Performance: Scale-up vs Scale-out 7.1.10 Non-Dell EMC server: 8x V100-16GB-SXM2 - Single Node 30 7.2 Throughput images/s - Multi Node 31 7.2.1 PowerEdge C4130-P100 16GB PCIe- Multi Node 31 7.2.2 PowerEdge C4140-K-V100-16GB and V100-32GB: SXM2 Multi Node 33 7.2.3 PowerEdge C4140-M-V100-16GB-SXM2 Multi Node 35 7.2.4 PowerEdge C4140-K Multi Node Training vs Non-Dell EMC 8x V100-16GB-SXM2 36 7.2.5 PowerEdge C4140-M Multi Node Training vs Non-Dell EMC 8x V100-16GB-SXM2 39 7.2.6 PowerEdge C4140 Multi Node Training with Different CPU Models vs 8x V100-16GB-SXM2 40 7.3 Results Showing Training Time Vs Accuracy 41 7.3.1 Elapsed Training Time for Several Models 42 7.4 Other Explored Aspects ...46 7.4.1 Hyper-parameters tuning...47 7.4.2 Learning Rate Effect in Distributed Mode 48 7.4.3 Communication and Neural Networks Primitives 50 8 Conclusion and Future Work ...51 9 Citation...52 10 References ...52 Architectures & Technologies Dell EMC | Infrastructure Solutions Group 3