1 citations · 1 across the 3 of their papers we have counts for
3 papers
ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction
Vahid Janfaza, Shantanu Mandal, Farabi Mahmud +1
Neural network training is inherently sequential where the layers finish the forward propagation in succession, followed by the calculation and back-propagation of gradients (based…
Attack of the Knights: A Non Uniform Cache Side-Channel Attack
Farabi Mahmud, Sungkeun Kim, Harpreet Singh Chawla +3
For a distributed last-level cache (LLC) in a large multicore chip, the access time to one LLC bank can significantly differ from that to another due to the difference in physical…
MERCURY: Accelerating DNN Training By Exploiting Input Similarity
Vahid Janfaza, Kevin Weston, Moein Razavi +4
Deep Neural Networks (DNN) are computationally intensive to train. It consists of a large number of multidimensional dot products between many weights and input vectors. However, t…