In this paper, we propose preconditioned Krylov-subspace iterative methods to perform efficient DC and transient simulations for large-scale linear circuits with an emphasis on po...
In this paper we present an initial analysis of job failures in a large-scale data-intensive Grid. Based on three representative periods in production, we characterize the interar...
Hui Li, David L. Groep, Lex Wolters, Jeffrey Templ...
Abstract Understanding potential genetic factors in disease or development of personalised e-Health solutions require scientists to access a multitude of data and compute resources...
Richard O. Sinnott, Oluwafemi Ajayi, Jipu Jiang, A...
Autonomic management can be used to improve the QoS provided by parallel/distributed applications. We discuss behavioural skeletons introduced in earlier work: rather than relying...
Marco Aldinucci, Sonia Campa, Marco Danelutto, Mar...
These days an increasing number of applications, especially in science and engineering, are dealing with a massive amount of data; hence they are dataintensive. Bioinformatics, da...