Dell PowerEdge C4140 Deep Learning Performance Comparison - Scale-up vs. Scale - Page 39

The Performance with Distributed Horovod TensorFlow, connected by Mellanox ConnectX-5,

Get Dell PowerEdge C4140 PDF manuals and user guides View all Dell PowerEdge C4140 manuals
Add to My Manuals
Save this manual to your list of manuals

Page 39 highlights

Deep Learning Performance: Scale-up vs Scale-out distributed framework Horovod over IB/GPUDirect-RDMA, see below Figure 32 the scaling efficiency reached by PowerEdge C4140: Figure 32: The Performance with Distributed Horovod TensorFlow, connected by Mellanox ConnectX-5 network adapter with 100Gbit/s over IPoIB, and GPUDirect RDMA Architectures & Technologies Dell EMC | Infrastructure Solutions Group 38

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
Deep Learning Performance: Scale-up vs Scale-out
Architectures & Technologies
Dell
EMC
| Infrastructure Solutions Group
38
distributed framework Horovod over IB/GPUDirect-RDMA, see below
Figure 32
the scaling
efficiency reached by PowerEdge C4140:
Figure 32: The Performance with Distributed Horovod TensorFlow, connected by Mellanox ConnectX-5
network adapter with 100Gbit/s over IPoIB, and GPUDirect RDMA