Automatically characterizing large scale program behavior
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
A Comparison of Counting and Sampling Modes of Using Performance Monitoring Hardware
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
The MPI Standard for Message Passing
HPCN Europe 1994 Proceedings of the nternational Conference and Exhibition on High-Performance Computing and Networking Volume II: Networking and Tools
Gprof: A call graph execution profiler
SIGPLAN '82 Proceedings of the 1982 SIGPLAN symposium on Compiler construction
SMARTS: accelerating microarchitecture simulation via rigorous statistical sampling
Proceedings of the 30th annual international symposium on Computer architecture
A Portable Programming Interface for Performance Evaluation on Modern Processors
International Journal of High Performance Computing Applications
An API for Runtime Code Patching
International Journal of High Performance Computing Applications
Online performance analysis by statistical sampling of microprocessor performance counters
Proceedings of the 19th annual international conference on Supercomputing
Using Dynamic Tracing Sampling to Measure Long Running Programs
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
The Tau Parallel Performance System
International Journal of High Performance Computing Applications
Automatic detection of parallel applications computation phases
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Automatic structure extraction from MPI applications tracefiles
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
Scalable fine-grained call path tracing
Proceedings of the international conference on Supercomputing
Reducing the overhead of direct application instrumentation using prior static analysis
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
On the usefulness of object tracking techniques in performance analysis
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Framework for a productive performance optimization
Parallel Computing
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Performance evaluation tools enable analysts to shed light on how applications behave both from a general point of view and at concrete execution points, but cannot provide detailed information beyond the monitored regions of code. Having the ability to determine when and which data has to be collected is crucial for a successful analysis. This is particularly true for trace-based tools, which can easily incur either unmanageable large traces or information shortage. In order to mitigate the well-known resolution vs. usability trade-off, we present a procedure that obtains fine grain performance information using coarse grain sampling, projecting performance metrics scattered all over the execution into thoroughly detailed representative areas. This mechanism has been incorporated into the MPItrace tracing suite, greatly extending the amount of performance information gathered from statically instrumented points with further periodic samples collected beyond them. We have applied this solution to the analysis of two applications to introduce a novel performance analysis methodology based on the combination of instrumentation and sampling techniques.