A comprehensive study of the whole petabyte-scale archival data of astronomical observatories has a possibility of new science and new knowledge in the field, while it was not fe...
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...
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
With the continuing growth in the amount of genetic data, members of the bioinformatics community are developing a variety of data-mining applications to understand the data and d...
Commercial soft processors are unable to effectively exploit the data parallelism present in many embedded systems workloads, requiring FPGA designers to exploit it (laboriously) ...
Peter Yiannacouras, J. Gregory Steffan, Jonathan R...