Some of the most challenging applications to parallelize scalably are the ones that present a relatively small amount of computation per iteration. Multiple interacting performance...
Abstract. Recently, the distributed real-time services are developing in distributed object computing environments in a way that can support a new programming paradigm of the distr...
Su-Chong Joo, Sung-Kwun Oh, Chang-Sun Shin, Jun Hw...
The exact enumeration of most interesting combinatorial problems has exponential computational complexity. The finite-lattice method reduces this complexity for most two-dimension...
Abstract. This paper focuses on an XML-based framework for the description of grid environments and complex grid applications. A so-called Grid Job Handler is used to manage these ...
E-Marketplace is a man-made profit center with emergent customer requirements. This emergence nature poses many difficulties for e-marketplace to satisfy its customers and thus aff...
We have designed a functional data-parallel language called BSML for programming bulk-synchronous parallel (BSP) algorithms. The execution time can be estimated and dead-locks and ...
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements...
Memory traces record the addresses touched by a program during its execution, enabling many useful investigations for understanding and predicting program performance. But complete...