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04/02/2019
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
Training convolutional neural networks (CNNs) requires intense compute t...
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03/06/2019
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs
GPUs offer orders-of-magnitude higher memory bandwidth than traditional ...
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07/13/2018
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study
Main memory (DRAM) consumes as much as half of the total system power in...
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05/08/2018
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency
This paper summarizes our work on experimental characterization and anal...
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05/29/2017
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms
The energy consumption of DRAM is a critical concern in modern computing...
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05/03/2017
