The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
Our research addresses two important problems that arise in modern large-scale distributed systems: (1) the necessity to virtualize their data flows by applying actions such as ï...
Radhika Niranjan, Ada Gavrilovska, Karsten Schwan,...
High throughput genome-wide RNAi screening is emerging as an essential tool to assist biologists in understanding complex cellular processes. The large number of images produced in...
Pingkun Yan, Xiaobo Zhou, Mubarak Shah, Stephen T....
Transient faults due to particle strikes are a key challenge in microprocessor design. Driven by exponentially increasing transistor counts, per-chip faults are a growing burden. ...
Kristen R. Walcott, Greg Humphreys, Sudhanva Gurum...
Background: Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisti...