Berkeley Lab - Scientific Computing Seminar

Date:

Monday, February 4, 2008

Time:

11:00am-12:00pm

Location:

Building 50B, 4205 Conference Room

Seminar Speaker:

Karl Fuerlinger
Innovative Computing Laboratory
Department of Computer Science
University of Tennessee, Knoxville

Title:

Profiling and Incremental Profiling of OpenMP Applications

Abstract:

Profiling is often the method of choice for performance analysis of parallel applications due to its low overhead and easily comprehensible results. However, a disadvantage of profiling is the loss of temporal information that makes it impossible to causally relate performance phenomena to events that happened prior or later during execution. The talk presents a simple but useful profiling tool for OpenMP applications, ompP, and describes its utility for overhead and scalability analysis. We also present techniques to add temporal dimension to profiling data by incrementally capturing profiles during the runtime of the application and discuss the insights that can be gained from this type of performance data. Application examples come from the SPEC OpenMP benchmark suite.

Sponsor of Seminar:

David Skinner

Scientific Computing

Contact Esmond G. Ng EGNg@lbl.gov