|Title||Using Software-Based Performance Counters to Expose Low-Level Open MPI Performance Information|
|Publication Type||Conference Paper|
|Year of Publication||2017|
|Authors||Eberius, D., T. Patinyasakdikul, and G. Bosilca|
|Conference Location||Chicago, IL|
|Keywords||MPI, Performance Counters, Profiling, Tools|
This paper details the implementation and usage of software-based performance counters to understand the performance of a particular implementation of the MPI standard, Open MPI. Such counters can expose intrinsic features of the software stack that are not available otherwise in a generic and portable way. The PMPI-interface is useful for instrumenting MPI applications at a user level, however it is insufficient for providing meaningful internal MPI performance details. While the Peruse interface provides more detailed information on state changes within Open MPI, it has not seen widespread adoption. We introduce a simple low-level approach that instruments the Open MPI code at key locations to provide fine-grained MPI performance metrics. We evaluate the overhead associated with adding these counters to Open MPI as well as their use in determining bottlenecks and areas for improvement both in user code and the MPI implementation itself.
Using Software-Based Performance Counters to Expose Low-Level Open MPI Performance Information
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org.
External Publication Flag: