18 citations · 28 across the 5 of their papers we have counts for
5 papers
Transfer-Learning-Based Autotuning Using Gaussian Copula
Thomas Randall, Jaehoon Koo, Brice Videau +6
As diverse high-performance computing (HPC) systems are built, many opportunities arise for applications to solve larger problems than ever before. Given the significantly increase…
FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
Thomas Randall, Tyler Allen, Rong Ge
Word2Vec remains one of the highly-impactful innovations in the field of Natural Language Processing (NLP) that represents latent grammatical and syntactical information in human t…
Energy-Aware DNN Graph Optimization
Yu Wang, Rong Ge, Shuang Qiu
Unlike existing work in deep neural network (DNN) graphs optimization for inference performance, we explore DNN graph optimization for energy awareness and savings for power- and r…
DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems
Pengfei Xuan, Feng Luo, Rong Ge +1
In order to boost the performance of data-intensive computing on HPC systems, in-memory computing frameworks, such as Apache Spark and Flink, use local DRAM for data storage. Optim…
Big Data Analytics on Traditional HPC Infrastructure Using Two-Level Storage
Pengfei Xuan, Jeffrey Denton, Rong Ge +2
Data-intensive computing has become one of the major workloads on traditional high-performance computing (HPC) clusters. Currently, deploying data-intensive computing software fram…