- We have developed a performance prediction model for non-bonded interaction computations in molecular dynamics simulations, thereby predicting the optimal cell dimension in a lin...
Manaschai Kunaseth, Rajiv K. Kalia, Aiichiro Nakan...
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Most applications share the resources of networked workstations with other applications. Since system load can vary dramatically, allocation strategies that assume that resources ...
This article is a critical review of computational techniques used to model, analyse and simulate signalling networks. We propose a conceptual framework, and discuss the role of s...