Feb 25 – 27, 2026
Technical University of Braunschweig
Europe/Berlin timezone

Session

Kokkos II

Feb 25, 2026, 4:00 PM
PK 3.4 (Technical University of Braunschweig)

PK 3.4

Technical University of Braunschweig

Pockelsstraße 3

Presentation materials

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  1. Romin Tomasetti (GNOI)
    2/25/26, 4:00 PM
    Kokkos
    User Talk

    ReProspect is a Python framework designed to support reproducible prospecting of CUDA code - that is, the systematic analysis of CUDA-based libraries and software components through API tracing, kernel profiling, and binary analysis.

    ReProspect builds on NVIDIA tools: Nsight Systems, Nsight Compute, and the CUDA binary utilities. It streamlines data collection and extraction using these...

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  2. Adrien Taberner (CEA)
    2/25/26, 4:30 PM
    Kokkos
    Developer Talk

    Kokkos MDRangePolicy provides a high-level abstraction for iterating over multi-dimensional index spaces. Used with parallel_for and parallel_reduce constructs, it enables computations over N-dimensional spaces (up to 6 dimensions). MDRangePolicy is the most intuitive and commonly used approach for iterating over multi-dimensional arrays and implementing stencil computations in...

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  3. Andreas Adelmann (Paul Scherrer Institut & ETH Zurich)
    2/25/26, 5:00 PM
    Kokkos
    User Talk

    Particle–mesh methods such as Particle-in-Cell (PIC) remain central to plasma, beam, and astrophysical simulation. We present the current state of the IPPL (Independent Parallel Particle Layer) library, which provides performance portable and dimension independent building blocks for scientific simulations requiring particle-mesh methods. IPPL makes use of Kokkos, HeFFTe, and MPI (Message...

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  4. Sonali Mayani (ETH Zürich / Paul Scherrer Institute (PSI))
    2/25/26, 5:30 PM
    Kokkos
    User Talk

    This research is in the context of IPPL (Independent Parallel Particle Layer), an open-source C++ framework providing performance-portable, dimension-independent building blocks for particle–mesh simulations, which combine Eulerian field solvers and Lagrangian particle dynamics. IPPL leverages Kokkos for on-node portability, MPI for distributed parallelism, and heFFTe for scalable FFTs,...

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