Performance analysis using the MIPS R10000 performance counters
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Run-Time Optimization Using Dynamic Performance Prediction
HPCN Europe 2000 Proceedings of the 8th International Conference on High-Performance Computing and Networking
Dynamic Instrumentation and Performance Prediction of Application Execution
HPCN Europe 2001 Proceedings of the 9th International Conference on High-Performance Computing and Networking
Compile-Time Based Performance Prediction
LCPC '99 Proceedings of the 12th International Workshop on Languages and Compilers for Parallel Computing
Performance Issues in Parallel Processing Systems
Performance Evaluation: Origins and Directions
QQ: Nanoscale Timing and Profiling
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 15 - Volume 16
Service-Oriented Environments for Dynamically Interacting with Mesoscale Weather
Computing in Science and Engineering
Assigning Blame: Mapping Performance to High Level Parallel Programming Abstractions
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
International Journal of High Performance Computing Applications
Performance analysis of large-scale OpenMP and hybrid MPI/OpenMP applications with VampirNG
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
Automatic performance analysis of message passing applications using the KappaPI 2 tool
PVM/MPI'05 Proceedings of the 12th European PVM/MPI users' group conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Towards dynamically adaptive weather analysis and forecasting in LEAD
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
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SvPablo is a language independent performance analysis and visualization system that supports analysis of applications written in a variety of languages and executing on both sequential and parallel systems. In addition to capturing application data via software instrumentation, SvPablo also exploits hardware performance counters to capture the interaction of software and hardware. Both hardware and software performance data are summarized during program execution, enabling measurement of programs that execute for hours or days on hundreds of processors.