Announcing PAPI 7.0.0

Just in time for Supercomputing 2022, PAPI 7.0.0 is now available.

This is a major release of PAPI, which offers several new components, including "intel_gpu" with monitoring capabilities on Intel GPUs; "sysdetect" (along with a new user API) for detecting details of the available hardware on a given compute system; a significant revision of the "rocm" component for AMD GPUs; the extension of the "cuda" component to enable performance monitoring on NVIDIA's compute capabilities 7.0 and beyond. Furthermore, PAPI 7.0.0 ships with a standalone "libsde" library and a new C++ API for software developers to define software-defined events from within their applications.

For specific and detailed information on changes made for this release, see ChangeLogP700.txt for filenames or keywords of interest and change summaries, or go directly to the PAPI git repository.


Some Major Changes for PAPI 7.0.0 include:

  • A new "intel_gpu" component with monitoring capabilities support for Intel GPUs (including GPU hardware events and memory performance metrics (e.g., bytes read/written/transferred from/to L3). The PAPI "intel_gpu" component offers two collection modes: (1) "Time-based Collection Mode," where metrics can be read at any given time during the execution of kernels. (2) "Kernel-based Collection Mode," where performance counter data is available once the kernel execution is finished.

  • A new "sysdetect" component for detecting a machine's architectural details, including the hardware's topology, specific aspects about the memory hierarchy, number and type of GPUs and CPUs on a node, thread affinity to NUMA nodes and GPU devices, etc. Additionally, PAPI offers a new API that enables users to get "sysdetect" details from within their application.

  • A major redesign of the "rocm" component for advanced monitoring features for the latest AMD GPUs. The PAPI "rocm" component is now thread-safe and offers two collection modes: "sampling" and "kernel intercept" mode.

  • Support for NVIDIA compute capability 7.0 and greater. This implies support for CUPTI's new Profiling and Perfworks APIs. The PAPI CUDA component has been refactored to work equally for NVIDIA compute capabilities = 7.0.

  • A significant redesign of the "sde" component into two separate entities: (1) a standalone library "libsde" with a new API for software developers to define software-based metrics from within their applications, and (2) the PAPI "sde" component that enables monitoring of these new software-based events.

  • A new C++ interface for "libsde," which enables software developers to define software-defined events from within their C++ applications.

  • New Counter Analysis Toolkit (CAT) benchmarks and refinements of PAPI's CAT data analysis, specifically, the extension of PAPI's CAT with MPI and "distributed memory"-aware benchmarks and analysis to stress all cores per node.

  • Support for FUGAKU's A64FX Arm architecture, including monitoring capabilities for memory bandwidth and other node-wide metrics.



This release is the result of efforts from many people. The PAPI team would like to express special Thanks to Vince Weaver, Stephane Eranian (for libpfm4), William Cohen, Steve Kaufmann, Peinan Zhang, John Rodgers, Yamada Masahiko, Thomas Richter, and Phil Mucci.


The PAPI release can be downloaded from



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