6 citations · 16 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System
Pritam Majumder, Jiayi Huang, Sungkeun Kim +4
The resurgence of near-memory processing (NMP) with the advent of big data has shifted the computation paradigm from processor-centric to memory-centric computing. To meet the band…
The Case for Learning Application Behavior to Improve Hardware Energy Efficiency
Kevin Weston, Vahid Jafanza, Arnav Kansal +3
Computer applications are continuously evolving. However, significant knowledge can be harvested from a set of applications and applied in the context of unknown applications. In t…