This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Characterizing shared-memory applications provides insight to design efficient systems, and provides awareness to identify and correct application performance bottlenecks. Configu...
This paper presents a support for the development of Distributed Virtual Environments (DVEs) on P2P architectures. A hierarchical overlay is defined by pairing each peer with a wei...
The design of a hierarchical planning system in which each level operates in parallel and communicates asynchronously is presented. It is shown that this Parallel Hierarchical Repl...
Thomas Allen, Andrew Hill, James Patrick Underwood...