Configuration Independent Analysis for Characterizing Shared-Memory Applications

Characterizing shared-memory applications provides insight to design efficient systems, and provides awareness to identify and correct application performance bottlenecks. Configuration dependent analysis is often used to simulate detailed application traces on a particular hardware model. The communication traffic and computation workload generated by the application trace is used as a characterization of this application. This paper demonstrates that configuration independent analysis is a useful tool to characterize shared-memory applications. Configuration independent analysis characterizes inherent application characteristics that do not change from one configuration to another. While configuration dependent analysis is repeated for each target configuration, configuration independent analysis is only performed once. Moreover, configuration independent analysis does not require developing models for the target configurations and is faster than detailed simulation. However, config...

• Type: Conference
• Year: 1998
• Where: IPPS
• Authors: Gheith A. Abandah, Edward S. Davidson
• Keywords: Configuration Dependent Analysis, Configuration Independent Analysis, Distributed And Parallel Computing, IPPS 1998, Shared-memory Applications