Event tracing of parallel programs can provide valuable information about program performance. The design of MPI provides a profiling interface for inserting event tracing. This paper will discuss how some of the functionality of the instrumentation package from PICL was incorporated into a profiling environment for MPI. The PICL routines necessary to support the creation of tracefiles have been integrated into this system. The tracefiles generated follow the (new) PICL trace format and can be displayed using ParaGraph or any other tool that uses this format. This new profiling system potentially allows for the tracing of all MPI routines. However, MPI has many more options and variations than PICL, so some of the MPI routines need to have ...
Detailed information for performance analysis of parallel programs can be collected\ud through trace...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-e...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
In order to obtain the highest possible performance from programs running on massively parallel mach...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...
This article presents a class library for detecting typical performance problems in event traces of ...
Abstract. Performance profiling of MPI programs generates overhead during execution that introduces ...
This paper presents an automatic counter instrumentation and pro ling module added to the MPI librar...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
Performance analysis most often is based on the detailed knowledge of program behavior. One option t...
Understanding the behavior of parallel applications that use the Message Passing Interface (MPI) is ...
AbstractIn software development, a metric is the measurement of some characteristic of a program's p...
Abstract. The size of supercomputers in numbers of processors is growing expo-nentially. Today’s lar...
One problem in developing a parallel program is monitoring its behavior for debugging and performanc...
Software that was modified for the paper. Specifically, adapted versions of OTF2, Score-P, and Scala...
Detailed information for performance analysis of parallel programs can be collected\ud through trace...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-e...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...
In order to obtain the highest possible performance from programs running on massively parallel mach...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...
This article presents a class library for detecting typical performance problems in event traces of ...
Abstract. Performance profiling of MPI programs generates overhead during execution that introduces ...
This paper presents an automatic counter instrumentation and pro ling module added to the MPI librar...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
Performance analysis most often is based on the detailed knowledge of program behavior. One option t...
Understanding the behavior of parallel applications that use the Message Passing Interface (MPI) is ...
AbstractIn software development, a metric is the measurement of some characteristic of a program's p...
Abstract. The size of supercomputers in numbers of processors is growing expo-nentially. Today’s lar...
One problem in developing a parallel program is monitoring its behavior for debugging and performanc...
Software that was modified for the paper. Specifically, adapted versions of OTF2, Score-P, and Scala...
Detailed information for performance analysis of parallel programs can be collected\ud through trace...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-e...
A powerful and widely-used method for analyzing the performance behavior of parallel programs is eve...