Typically there is a high coherence in data values between neighboring time steps in an iterative scientific software simulation; this characteristic similarly contributes to a co...
Jinzhu Gao, Han-Wei Shen, Jian Huang, James Arthur...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Recent advances in DNA sequencing technology have created large data sets upon which phylogenetic inference can be performed. However, current research is limited by the prohibiti...
Quinn Snell, Michael Whiting, Mark J. Clement, Dav...
Decision Support System (DSS) workloads are known to be one of the most time-consuming database workloads that processes large data sets. Traditionally, DSS queries have been acce...
We present provably efficient parallel algorithms for sweep scheduling, which is a commonly used technique in Radiation Transport problems, and involves inverting an operator by i...
V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Pa...