One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
Although it is increasingly difficult for large scientific programs to attain a significant fraction of peak performance on systems based on microprocessors with substantial instr...
John M. Mellor-Crummey, Robert J. Fowler, Gabriel ...
The Converse run-time framework was designed with dual objectives: that of supporting quick development of portable run-time systems for new parallel programming paradigms, and tha...
This paper describes an implementation of parallel LU factorization. The focus is to achieve high performance on non-dedicated clusters, where the number of available computing re...
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...