- How to Download and Install PAPI
- How to Use PAPI (under construction)
- Supported Architectures
- PAPI Releases
- PAPI Papers and Presentations
The Performance Application Programming Interface (PAPI) provides tool designers and application engineers with a consistent interface and methodology for the use of low-level performance counter hardware found across the entire compute system (i.e. CPUs, GPUs, on/off-chip memory, interconnects, I/O system, energy/power, etc.). PAPI enables users to see, in near real time, the relations between software performance and hardware events across the entire computer system.
The ECP Exa-PAPI project builds on the latest PAPI project and extends it with:
- Performance counter monitoring capabilities for new and advanced ECP hardware, and software technologies.
- Fine-grained power management support.
- Functionality for performance counter analysis at "task granularity" for task-based runtime systems.
- "Software-defined Events" that originate from the ECP software stack and are currently treated as black boxes (i.e., communication libraries, math libraries, task-based runtime systems, etc.)
The objective is to enable monitoring of both types of performance events---hardware- and software-related events---in a uniform way, through one consistent PAPI interface. Third-party tools and application developers will have to handle only a single hook to PAPI in order to access all hardware performance counters in a system, including the new software-defined events.
- PAPI Wiki is the main documentation for HOWTOs, Supported Architectures, PAPI Releases.
- PAPI Papers and Presentations
- Visit our FAQ at: http://icl.utk.edu/papi/faq/ or read a snapshot of the FAQ in papi/PAPI_FAQ.html
- For assistance with PAPI, email email@example.com.
- You can also join the PAPI User Google group by going to https://groups.google.com/a/icl.utk.edu/forum/#!forum/ptools-perfapi to read historical postings to the list.
The PAPI project welcomes contributions from new developers. Contributions can be offered through the standard Bitbucket pull request model. We strongly encourage you to coordinate large contributions with the PAPI development team early in the process.
- Visit the Exa-PAPI website to find out more about ongoing PAPI and PAPI++ developments and research.
- Visit the PAPI website (retired) for basic information about PAPI.
- Visit the ECP website to find out more about the DOE Exascale Computing Initiative.
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