One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
In this paper, we utilize a bandwidth-centric job communication model that captures the interaction and impact of simultaneously co-allocating jobs across multiple clusters. We ma...
William M. Jones, Walter B. Ligon III, Nishant Shr...
In the present work we describe architectural concepts of the distributed molecular simulation package GridMD. The main purpose of this work is to underline the construction patter...
The amount of data to be represented by visualization systems requires new ideas for data processing and representation. As proposed in this contribution, this might be solved by ...
Background: The availability of complete genomic sequences for hundreds of organisms promises to make obtaining genome-wide estimates of substitution rates, selective constraints ...
Amy Egan, Anup Mahurkar, Jonathan Crabtree, Jonath...