1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.PF2018
Hoard: A Distributed Data Caching System to Accelerate Deep Learning Training on the Cloud
Christian Pinto, Yiannis Gkoufas, Andrea Reale +2
Deep Learning system architects strive to design a balanced system where the computational accelerator -- FPGA, GPU, etc, is not starved for data. Feeding training data fast enough…
cs.DC2017★ 1 cited
IBM Deep Learning Service
Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi +15
Deep learning driven by large neural network models is overtaking traditional machine learning methods for understanding unstructured and perceptual data domains such as speech, te…