In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
Future systems will have to support multiple and concurrent dynamic compute-intensive applications, while respecting real-time and energy consumption constraints. To overcome these...
Nicolas Ventroux, Tanguy Sassolas, Raphael David, ...
One of the main advantages of using a scientific workflow management system (SWfMS) to orchestrate data flows among scientific activities is to control and register the whole work...
Eduardo S. Ogasawara, Daniel de Oliveira, Fernando...
—MapReduce has emerged as a popular tool for distributed and scalable processing of massive data sets and is increasingly being used in e-science applications. Unfortunately, the...
Benjamin Gufler, Nikolaus Augsten, Angelika Reiser...
—Transactional memory (TM) is a promising paradigm for helping programmers take advantage of emerging multicore platforms. Though they perform well under low contention, hardware...
Hany E. Ramadan, Christopher J. Rossbach, Emmett W...