Invitation to participate in PAPI BoF: Feb 11, 2026 11am-noon EST
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Heike Jagode
1:46 PM (7 hours ago) 1:46 PM
to Heike Jagode
Dear PAPI Users and HPC Community Members,
I would like to invite you to the PAPI BoF session: "PAPI on Emerging Architectures: Challenges and Directions", part of the 2026 Consortium for the Advancement of Scientific Software (CASS) BoF Days venue, which will be held entirely online via Zoom. Registration is required for each BoF, but the event is free to attend.
Please join us for the PAPI BoF on Wednesday, February 11, 2026, from 11 AM to 12 PM EST. Below you will find the registration link as well as the abstract.
Hope to see you there!
Heike
SPEAKERS:
Heike Jagode, Daniel Barry, Dong Jun Woun, Treece Burgess, Tokey Tahmid
ABSTRACT:
The Performance API (PAPI) has long served as a foundational tool for accessing hardware performance counters across diverse architectures. As HPC systems continue to evolve toward increasingly heterogeneous and accelerator-dominated platforms, PAPI must adapt to support new devices, software stacks, and programming models while maintaining portability and usability for application developers, tool builders, and facilities.
This BoF session will provide an overview of current PAPI activities and future directions, with a particular focus on ongoing efforts to modernize the codebase and expand C++ support. We will highlight recent development priorities and discuss how these changes aim to better support emerging architectures and programming paradigms.
Several short talks will then focus on PAPI support for accelerators and specialized hardware. Topics include PAPI integration with AMD technologies such as ROCm, ROCprofiler-SDK, and AMD SMI, experiences and challenges supporting CUDA-based systems, and early efforts to enable performance monitoring for AI-focused architectures. These talks are intended to provide the most current updates and to frame key challenges, rather than provide exhaustive technical detail.
The remainder of the session will be dedicated to interactive discussion with the community. We invite feedback on current PAPI capabilities, gaps users encounter on modern systems, and priorities for future development. In particular, we seek input from application developers, tool developers, vendors, and facility staff on requirements for performance monitoring across GPUs, AI accelerators, and heterogeneous platforms.
This BoF aims to foster an open dialogue around the future of performance measurement in HPC and to help guide PAPI’s evolution in response to the needs of current and next-generation systems.
--
I would like to invite you to the PAPI BoF session: "PAPI on Emerging Architectures: Challenges and Directions", part of the 2026 Consortium for the Advancement of Scientific Software (CASS) BoF Days venue, which will be held entirely online via Zoom. Registration is required for each BoF, but the event is free to attend.
Please join us for the PAPI BoF on Wednesday, February 11, 2026, from 11 AM to 12 PM EST. Below you will find the registration link as well as the abstract.
Hope to see you there!
Heike
REGISTER:
TITLE:
PAPI on Emerging Architectures: Challenges and Directions
SPEAKERS:
Heike Jagode, Daniel Barry, Dong Jun Woun, Treece Burgess, Tokey Tahmid
ABSTRACT:
The Performance API (PAPI) has long served as a foundational tool for accessing hardware performance counters across diverse architectures. As HPC systems continue to evolve toward increasingly heterogeneous and accelerator-dominated platforms, PAPI must adapt to support new devices, software stacks, and programming models while maintaining portability and usability for application developers, tool builders, and facilities.
This BoF session will provide an overview of current PAPI activities and future directions, with a particular focus on ongoing efforts to modernize the codebase and expand C++ support. We will highlight recent development priorities and discuss how these changes aim to better support emerging architectures and programming paradigms.
Several short talks will then focus on PAPI support for accelerators and specialized hardware. Topics include PAPI integration with AMD technologies such as ROCm, ROCprofiler-SDK, and AMD SMI, experiences and challenges supporting CUDA-based systems, and early efforts to enable performance monitoring for AI-focused architectures. These talks are intended to provide the most current updates and to frame key challenges, rather than provide exhaustive technical detail.
The remainder of the session will be dedicated to interactive discussion with the community. We invite feedback on current PAPI capabilities, gaps users encounter on modern systems, and priorities for future development. In particular, we seek input from application developers, tool developers, vendors, and facility staff on requirements for performance monitoring across GPUs, AI accelerators, and heterogeneous platforms.
This BoF aims to foster an open dialogue around the future of performance measurement in HPC and to help guide PAPI’s evolution in response to the needs of current and next-generation systems.
--
__________________________________________
Heike Jagode, Ph.D., Research Associate Professor
Heike Jagode, Ph.D., Research Associate Professor
Innovative Computing Laboratory (ICL)
University of Tennessee Knoxville
http://icl.utk.edu/~jagode/Reply all
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