Can I read An On-Line Approach for Classifying and Extracting Application Behavior on Linux on EtoBox?

An On-Line Approach for Classifying and Extracting Application Behavior on Linux by Yang, Laurence T.; Guo, Minyi is a scholarly article available to read on EtoBox.

What is An On-Line Approach for Classifying and Extracting Application Behavior on Linux about?

The state of the art of high-performance computing Prominent researchers from around the world have gathered to present the state-of-the-art techniques and innovations in high-performance computing (HPC), including: • Programming models for parallel computing: graph-oriented programming (GOP), OpenMP, the stages and transformation (SAT) approach, the bulk-synchronous parallel (BSP) model, Message Passing Interface (MPI), and Cilk • Architectural and system support, featuring the code tiling compiler technique, the MigThread application-level migration and checkpointing package, the new prefetching scheme of atomicity, a new'receiver makes right'data conversion method, and lessons learned from applying reconfigurable computing to HPC • Scheduling and resource management issues with heterogeneous systems, bus saturation effects on SMPs, genetic algorithms for distributed computing, and novel task-scheduling algorithms • Clusters and grid computing: design requirements, grid middleware, distributed virtual machines, data grid services and performance-boosting techniques, security issues, and open issues • Peer-to-peer computing (P2P) including the proposed search mechanism of hybrid p

Author

Yang, Laurence T.; Guo, Minyi

Publisher

John Wiley & Sons, Incorporated

Published

2005

Language

EN

ISBN

9781280311314