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Explore a seminar talk by Jeff Hammond from NVIDIA discussing the Parallel Research Kernels (PRK) and their applications in hardware-software co-design. Learn how these simple yet powerful implementations of fundamental HPC algorithms are used to evaluate and improve computing systems across multiple contexts. Discover insights on comparing distributed programming models against various MPI flavors, evaluating programming languages from Python and C++17 to Rust and Julia, and measuring the performance of accelerators and heterogeneous memory systems. The presentation covers the PRK design methodology and showcases collaborative work from over a dozen contributors, originally created by Tim Mattson and Rob Van der Wijngaart. Access the complete slide deck through the provided link and explore other events in the NHR PerfLab seminar series.
