Clouds are emerging as an important class of distributed computational resources and are quickly becoming an integral part of production computational infrastructures. An importan...
Hyunjoo Kim, Yaakoub El Khamra, Shantenu Jha, Mani...
Clusters are mostly used through Resources Management Systems (RMS) with a static allocation of resources for a bounded amount of time. Those approaches are known to be insufficie...
The increasing significance of RNAs in transcriptional or post-transcriptional gene regulation processes has generated considerable interest towards the prediction of RNA folding ...
Joohyun Kim, Wei Huang, Sharath Maddineni, Fareed ...
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the programming model and the quality of services provided by m...
The statistical language R and Bioconductor package are favoured by many biostatisticians for processing microarray data. The amount of data produced by these analyses has reached...
Savvas Petrou, Terence M. Sloan, Muriel Mewissen, ...
A common task in biological research is to predict function for proteins by comparing sequences between proteins of known and unknown function. This is often done using pair-wise ...
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduce programming model. We give implementation details of the library, including s...
Jeff A. Stuart, Cheng-Kai Chen, Kwan-Liu Ma, John ...
In this paper we present the Brown Dwarf, a distributed system designed to efficiently store, query and update multidimensional data over an unstructured Peer-to-Peer overlay, wit...