Research Article

Pipelined Training with Stale Weights in Deep Convolutional Neural Networks

Table 5

Inference accuracy and speedup of actual pipelined/hybrid training for CIFAR-10.

ResNetPPVAccuracyTime (seconds)Speedup
Nonpipelined (%)Pipelined (%)Hybrid (%)NonpipelinedPipelinedHybridPipelinedHybrid

-56(19)92.6392.8992.756,7454,0905,4291.65X1.24X
-110(37)93.5992.8893.5513,1507,57010,4521.73X1.26X
-224(75)92.7791.3993.3327,23114,99821,2451.81X1.28X
-362(121)93.4690.5393.9844,81424,64034,8141.82X1.29X