95 citations · 359 across the 21 of their papers we have counts for
7 papers · 1 filter
PipeDream: Fast and Efficient Pipeline Parallel DNN Training
Aaron Harlap, Deepak Narayanan, Amar Phanishayee +4
PipeDream is a Deep Neural Network(DNN) training system for GPUs that parallelizes computation by pipelining execution across multiple machines. Its pipeline parallel computing mod…
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…
Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency
Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar +4
This paper summarizes the idea of ChargeCache, which was published in HPCA 2016 [51], and examines the work's significance and future potential. DRAM latency continues to be a crit…
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…