9 citations · 12 across the 3 of their papers we have counts for
9 papers
"Smarter" NICs for faster molecular dynamics: a case study
Sara Karamati, Clayton Hughes, K. Scott Hemmert +6
This work evaluates the benefits of using a "smart" network interface card (SmartNIC) as a compute accelerator for the example of the MiniMD molecular dynamics proxy application. T…
Online Model Swapping in Architectural Simulation
Patrick Lavin, Jeffrey Young, Rich Vuduc +1
As systems and applications grow more complex, detailed simulation takes an ever increasing amount of time. The prospect of increased simulation time resulting in slower design ite…
CUP: Cluster Pruning for Compressing Deep Neural Networks
Rahul Duggal, Cao Xiao, Richard Vuduc +1
We propose Cluster Pruning (CUP) for compressing and accelerating deep neural networks. Our approach prunes similar filters by clustering them based on features derived from both t…
Load-Balanced Sparse MTTKRP on GPUs
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam +2
Sparse matricized tensor times Khatri-Rao product (MTTKRP) is one of the most computationally expensive kernels in sparse tensor computations. This work focuses on optimizing the M…
Programming Strategies for Irregular Algorithms on the Emu Chick
Eric Hein, Srinivas Eswar, Abdurrahman Yaşar +7
The Emu Chick prototype implements migratory memory-side processing in a novel hardware system. Rather than transferring large amounts of data across the system interconnect, the E…
A Microbenchmark Characterization of the Emu Chick
Jeffrey S. Young, Eric Hein, Srinivas Eswar +5
The Emu Chick is a prototype system designed around the concept of migratory memory-side processing. Rather than transferring large amounts of data across power-hungry, high-latenc…