150 citations · 185 across the 11 of their papers we have counts for
11 papers
Predictable Performance and Fairness Through Accurate Slowdown Estimation in Shared Main Memory Systems
Lavanya Subramanian, Vivek Seshadri, Yoongu Kim +2
This paper summarizes the ideas and key concepts in MISE (Memory Interference-induced Slowdown Estimation), which was published in HPCA 2013 [97], and examines the work's significa…
RowClone: Accelerating Data Movement and Initialization Using DRAM
Vivek Seshadri, Yoongu Kim, Chris Fallin +8
In existing systems, to perform any bulk data movement operation (copy or initialization), the data has to first be read into the on-chip processor, all the way into the L1 cache,…
Tiered-Latency DRAM: Enabling Low-Latency Main Memory at Low Cost
Donghyuk Lee, Yoongu Kim, Vivek Seshadri +3
This paper summarizes the idea of Tiered-Latency DRAM (TL-DRAM), which was published in HPCA 2013, and examines the work's significance and future potential. The capacity and cost-…
Adaptive-Latency DRAM: Reducing DRAM Latency by Exploiting Timing Margins
Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko +4
This paper summarizes the idea of Adaptive-Latency DRAM (AL-DRAM), which was published in HPCA 2015, and examines the work's significance and future potential. AL-DRAM is a mechani…
Exploiting the DRAM Microarchitecture to Increase Memory-Level Parallelism
Yoongu Kim, Vivek Seshadri, Donghyuk Lee +2
This paper summarizes the idea of Subarray-Level Parallelism (SALP) in DRAM, which was published in ISCA 2012, and examines the work's significance and future potential. Modern DRA…
Reducing DRAM Refresh Overheads with Refresh-Access Parallelism
K. K. Chang, D. Lee, Z. Chishti +4
This article summarizes the idea of "refresh-access parallelism," which was published in HPCA 2014, and examines the work's significance and future potential. The overarching objec…
Improving DRAM Performance by Parallelizing Refreshes with Accesses
Kevin K. Chang, Donghyuk Lee, Zeshan Chishti +4
Modern DRAM cells are periodically refreshed to prevent data loss due to leakage. Commodity DDR DRAM refreshes cells at the rank level. This degrades performance significantly beca…
Adaptive-Latency DRAM (AL-DRAM)
Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko +4
This paper summarizes the idea of Adaptive-Latency DRAM (AL-DRAM), which was published in HPCA 2015. The key goal of AL-DRAM is to exploit the extra margin that is built into the D…
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…
Tiered-Latency DRAM (TL-DRAM)
Donghyuk Lee, Yoongu Kim, Vivek Seshadri +3
This paper summarizes the idea of Tiered-Latency DRAM, which was published in HPCA 2013. The key goal of TL-DRAM is to provide low DRAM latency at low cost, a critical problem in m…
Reducing Performance Impact of DRAM Refresh by Parallelizing Refreshes with Accesses
Kevin Kai-Wei Chang, Donghyuk Lee, Zeshan Chishti +4
Modern DRAM cells are periodically refreshed to prevent data loss due to leakage. Commodity DDR DRAM refreshes cells at the rank level. This degrades performance significantly beca…