Performance Profiling and Analysis of DoD Applications Using PAPI and TAU

Abstract

Large scientific applications developed as recently as five to ten years ago are often at a disadvantage in current computing environments. Due to frequent acquisition decisions made for reasons such as priceperformance, in order to continue production runs it is often necessary to port large scientific applications to completely different architectures than the ones on which they were developed. Since the porting step does not include optimizations necessary for the new architecture, performance often suffers due to various architectural features. The Programming Environment and Training (PET) Computational Environments (CE) team has developed and deployed different procedures and mechanisms for collection of performance data and for profiling and optimizations of these applications based on that data. The paper illustrates some of these procedures and mechanisms.