57 citations · 220 across the 26 of their papers we have counts for
6 papers · 1 filter
An Open-Source Power Measurement Platform for System-Level Semiconductor Testing
Linus Bantel, Sarah Rottacker, Dirk Pflüger
Accurate power measurement is not only essential for evaluating the energy efficiency of modern embedded and semiconductor systems, but power draw is an important proxy during stre…
PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs
Alexander Strack, Marcel Graf, Alexander Van Craen +1
The lattice Boltzmann method (LBM) is a well-established approach for simulating fluid flows at the mesoscopic scale. With the stagnation of Moore's law, high-performance computing…
Generated, Parallel, Scalable? A Study of Agentic AI-Generated Julia Code on Supercomputers
Linus Bantel, Anna-Lena Roth, Jonas Posner +1
Julia is increasingly used in HPC as a single-language alternative to combining high-level scripting with low-level systems languages, but achieving scalable performance still requ…
From Fork-Join to Asynchronous Tasks: Parallelizing Tiled Cholesky Decomposition with OpenMP and HPX
Alexander Strack, Alexander Van Craen, Dirk Pflüger
Fork-join parallelism, popularized by OpenMP, remains the dominant model for shared-memory parallel programming, but its implicit synchronization barriers can penalize algorithms w…
Is RISC-V Ready for Machine Learning? Portable Gaussian Processes Using Asynchronous Tasks
Alexander Strack, Patrick Diehl, Dirk Pflüger
Gaussian processes are widely used in machine learning domains but remain computationally demanding, limiting their efficient scalability across emerging hardware platforms. The GP…
Comparing the Performance of Heterogeneous Conjugate Gradient and Cholesky Solvers on Various Hardware Using SYCL
Tim Thüring, Alexander Strack, Dirk Pflüger
Many important real-world applications, such as System Identification with Gaussian Processes, involve solving linear systems with symmetric positive-definite matrices. The iterati…