7 citations · 8 across the 3 of their papers we have counts for
6 papers
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices
Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura +1
The prediction accuracy of the deep neural networks (DNNs) after deployment at the edge can suffer with time due to shifts in the distribution of the new data. To improve robustnes…
Combining Emulation and Simulation to Evaluate a Near Memory Key/Value Lookup Accelerator
Joshua Landgraf, Scott Lloyd, Maya Gokhale
Processing large numbers of key/value lookups is an integral part of modern server databases and other "Big Data" applications. Prior work has shown that hash table based key/value…
Semi-supervised on-device neural network adaptation for remote and portable laser-induced breakdown spectroscopy
Kshitij Bhardwaj, Maya Gokhale
Laser-induced breakdown spectroscopy (LIBS) is a popular, fast elemental analysis technique used to determine the chemical composition of target samples, such as in industrial anal…
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems
Ivy Peng, Kai Wu, Jie Ren +2
The emergence of high-density byte-addressable non-volatile memory (NVM) is promising to accelerate data- and compute-intensive applications. Current NVM technologies have lower pe…
UMap: Enabling Application-driven Optimizations for Page Management
Ivy B. Peng, Marty McFadden, Eric Green +5
Leadership supercomputers feature a diversity of storage, from node-local persistent memory and NVMe SSDs to network-interconnected flash memory and HDD. Memory mapping files on di…
System Evaluation of the Intel Optane Byte-addressable NVM
Ivy B. Peng, Maya B. Gokhale, Eric W. Green
Byte-addressable non-volatile memory (NVM) features high density, DRAM comparable performance, and persistence. These characteristics position NVM as a promising new tier in the me…