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20152019
most citedImproving DRAM Performance by Parallelizing Refreshes with Accesses

150 citations · 527 across the 25 of their papers we have counts for

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Showing 2018Show all

11 papers · 1 filter

cs.AR2018★ 4 cited

What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study

Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta +9

Main memory (DRAM) consumes as much as half of the total system power in a computer today, resulting in a growing need to develop new DRAM architectures and systems that consume le…

cs.AR2018★ 2 cited

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…

cs.AR2018★ 1 cited

SoftMC: Practical DRAM Characterization Using an FPGA-Based Infrastructure

Hasan Hassan, Nandita Vijaykumar, Samira Khan +6

This paper summarizes the SoftMC DRAM characterization infrastructure, which was published in HPCA 2017, and examines the work's significance and future potential. SoftMC (Soft Mem…

cs.AR2018

LISA: Increasing Internal Connectivity in DRAM for Fast Data Movement and Low Latency

Kevin K. Chang, Prashant J. Nair, Saugata Ghose +3

This paper summarizes the idea of Low-Cost Interlinked Subarrays (LISA), which was published in HPCA 2016, and examines the work's significance and future potential. Contemporary s…

cs.AR2018★ 3 cited

Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency

Kevin K. Chang, Abdullah Giray Yaglıkçı, Saugata Ghose +7

This paper summarizes our work on experimental characterization and analysis of reduced-voltage operation in modern DRAM chips, which was published in SIGMETRICS 2017, and examines…

cs.AR2018

Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips

Kevin K. Chang, Abhijith Kashyap, Hasan Hassan +7

This article summarizes key results of our work on experimental characterization and analysis of latency variation and latency-reliability trade-offs in modern DRAM chips, which wa…

cs.AR2018★ 12 cited

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,…

cs.AR2018

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-…

cs.AR2018★ 1 cited

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…

cs.AR2018★ 3 cited

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…

cs.AR2018★ 1 cited

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…