150 citations · 244 across the 5 of their papers we have counts for
19 papers
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…
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…
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…
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…
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…
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…