Clusters, Clouds, and Grids are three different computational paradigms with the intent or potential to support High Performance Computing (HPC). Currently, they consist of hardware, management, and usage models particular to different computational regimes, e.g., high performance cluster systems designed to support tightly coupled scientific simulation codes typically utilize high-speed interconnects and commercial cloud systems designed to support software as a service (SAS) do not. However, in order to support HPC, all must at least utilize large numbers of resources and hence effective HPC in any of these paradigms must address the issue of resiliency at large-scale. © 2013 Springer-Verlag.
CITATION STYLE
Scott, S. L., & Leangsuksun, C. (2013). Workshop on resiliency in high performance computing (resilience) in clusters, clouds, and grids. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7640 LNCS, pp. 461–462). https://doi.org/10.1007/978-3-642-36949-0_51
Mendeley helps you to discover research relevant for your work.