A key challenge in supporting data-driven scientific applications is the storage and management of input and output data in a distributed environment. In this paper, we describe a...
Stephen Langella, Shannon Hastings, Scott Oster, T...
Applications involving large sparse nonsymmetric linear systems encourage parallel implementations of robust iterative solution methods, such as GMRES(k). Two parallel versions of...
Masha Sosonkina, Donald C. S. Allison, Layne T. Wa...
Automatic service composition is an active research area in the field of service computing. This paper presents a distributed approach to automatically discover a composition of s...
Our study of a large set of scientific applications over the past three years indicates that the processing for multidimensional datasets is often highly stylized. The basic proce...
Chialin Chang, Renato Ferreira, Alan Sussman, Joel...
The increasing availability of high-performance computing systems with thousands, tens of thousands, and even hundreds of thousands of computational nodes is driving the demand fo...