The goal of High Performance Fortran (HPF) is to "address the problems of writing data parallel programs where the distribution of data affects performance", providing t...
Siegfried Benkner, Piyush Mehrotra, John Van Rosen...
The goal of this paper is to gain insight into the relative performance of communication mechanisms as bisection bandwidth and network latency vary. We compare shared memory with ...
Frederic T. Chong, Rajeev Barua, Fredrik Dahlgren,...
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
In this chapter we present recent contributions in the field of sequential job scheduling on network machines which work in parallel; these are subject to temporary unavailability...
Florian Diedrich, Klaus Jansen, Ulrich M. Schwarz,...
: Optimization is a healthy field targeted to find efficient solutions and algorithms to solve problems either in the academia and the industry. As the solved problems became harde...