Article 504J7 SLIDE algorithm for training deep neural nets faster on CPUs than GPUs

SLIDE algorithm for training deep neural nets faster on CPUs than GPUs

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#504J7)
0302_SLIDE-bctm54-lg-150x100.jpg

Rice researchers created a cost-saving alternative to GPU, an algorithm called "sub-linear deep learning engine" (SLIDE) that uses general purpose central processing units (CPUs) without specialized acceleration hardware. "Our tests show that SLIDE is the first smart algorithmic implementation of deep learning on CPU that can outperform GPU hardware acceleration on industry-scale recommendation datasets with large fully connected architectures."

The post SLIDE algorithm for training deep neural nets faster on CPUs than GPUs appeared first on insideHPC.

External Content
Source RSS or Atom Feed
Feed Location http://insidehpc.com/feed/
Feed Title High-Performance Computing News Analysis | insideHPC
Feed Link https://insidehpc.com/
Reply 0 comments