150 citations · 298 across the 6 of their papers we have counts for
3 papers · 1 filter
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
Sangkug Lym, Donghyuk Lee, Mike O'Connor +2
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the executio…
RowHammer: Reliability Analysis and Security Implications
Yoongu Kim, Ross Daly, Jeremie Kim +6
As process technology scales down to smaller dimensions, DRAM chips become more vulnerable to disturbance, a phenomenon in which different DRAM cells interfere with each other's op…
The Blacklisting Memory Scheduler: Balancing Performance, Fairness and Complexity
Lavanya Subramanian, Donghyuk Lee, Vivek Seshadri +2
In a multicore system, applications running on different cores interfere at main memory. This inter-application interference degrades overall system performance and unfairly slows…