Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
Information on the behavior of programs is essential for deciding the number and nature of functional units in high performance architectures. In this paper, we present studies on...
Lizy Kurian John, Vinod Reddy, Paul T. Hulina, Lee...
In this paper, we describe the integration of dynamic right-sizing — an automatic and scalable buffer management technique for enhancing TCP performance — into GridFTP, a sub...
The recent shift in the industry towards chip multiprocessor (CMP) designs has brought the need for multi-threaded applications to mainstream computing. As observed in several lim...
Several existing compiler transformations can help improve communication-computation overlap in MPI applications. However, traditional compilers treat calls to the MPI library as ...
Anthony Danalis, Lori L. Pollock, D. Martin Swany,...