NHR PerfLab Seminar Series
The NHR PerfLab is a collaborative effort by the NHR centers at FAU, RWTH Aachen, ZIB Berlin, and the University of Paderborn to combine resources and activities around performance engineering, code analysis, HPC computer architectures, and tools. The NHR PerfLab seminar is a series of public talks about those topics, and more. The usual time slot is Tuesday 2 p.m. – 3 p.m. If you want to get notified of upcoming talks, subscribe to the nhr-announcements mailing list.
Find below a list of past and upcoming public talks:
- December 20, 2022 (4:00 p.m.)
Michael Hartmann, FAU Erlangen-Nürnberg: Quantum Computing Today and Tomorrow (hybrid).
- November 29, 2022
Simon McIntosh-Smith, University of Bristol: Enabling next-generation processor simulations with SimEng (online).
Slides Video TBA
- November 8, 2022
Martin Kronbichler, University of Augsburg: High-Performance Implementations for High-Order Finite-Element Discretizations of PDEs (online).
- October 18, 2022
Rolf Rabenseifner and Tobias Haas, High Performance Computing Center Stuttgart (HLRS): New Features in MPI 4.0.
- September 6, 2022
Jens Domke, RIKEN: LARC: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache.
- June 21, 20022
Ana Lucia Varbanescu, University of Twente: Parallel Graph Processing – a Killer App for Performance Modeling.
- June 9, 2022
Kengo Nakajima, University of Tokyo: Innovative Scientific Computing by Integration of (Simulation+Data+Learning) in Information Technology Center, The University of Tokyo.
- May 10, 2022
Tze Meng Low, Carnegie Mellon University: Designing for Portable, Efficient and Explainable Performance.
- April 26, 2022
Ayesha Afzal, NHR@FAU: The Role of Idle Waves in Modeling and Optimization of Parallel Programs.
- April 12, 2022
Ruud van der Pas, Oracle Corp.: gprofng: The Next Generation GNU Profiling Tool.
- April 5, 2022
Christian Terboven, RWTH Aachen University IT Center: OpenMP Offloading.
- February 15, 2022
Stefano Markidis, KTH Royal Institute of Technology: Designing Next-Generation Numerical Methods with Physics-Informed Neural Networks.
- February 1, 2022
Christie L. Alappat, Erlangen National High Performance Computing Center: Performance Engineering for Sparse Matrix-Vector Multiplication with the Recursive Algebraic Coloring Engine.
- December 15, 2021
John D. McCalpin, Texas Advanced Computing Center: Memory Bandwidth and System Balance in HPC Systems – 2021 Update.
- November 23, 2021
Daniel Jünger and Bertil Schmidt, University of Mainz: General-purpose GPU Hashing Data Structures and their Application in Accelerated Genomics.
- November 2, 2021
Mehmet Soysal, Karlsruhe Institute of Technology: On-demand file systems: use cases and lessons learned.
- October 19, 2021
Tobias Kenter, University of Paderborn: Discontinuous Galerkin Shallow-Water Simulations on FPGAs.
Slides Video (FAU IdM login required)
- October 5, 2021
Thomas Kühne, University of Paderborn: Towards exascale simulations using the submatrix method and approximate computing.
- September 21, 2021
Christian Iwainsky, TU Darmstadt: Performance Measurements in HPC: Techniques, Side Effects, and Use.
- July 20, 2021
Sebastian Oeste, ZIH Dresden: Exclusive file systems for power users with BeeGFS and network NVMe storage.
- June 22, 2021
Christian Terboven, RWTH Aachen University IT Center: Tasking in OpenMP 5.0.
- June 1, 2021
Jan Laukemann, Intel Labs: ALTO: Adaptive Linearized Storage of Sparse Tensors.
- May 18, 2021
Hartwig Anzt, Karlsruhe Institute of Technology: A Modular Precision Ecosystem Based on a Memory Accessor.
- May 4, 2021
Andreas Abel, Saarland University: Automatic Generation of Models of Microarchitectures.
- March 23, 2021
Tobias Ribizel, Karlsruhe Institute of Technology: Parallel Selection on GPUs.
- March 16, 2021
Steffen Christgau, Zuse Institut Berlin: On the Interaction of Memory, Application and Operating System on a Heterogeneous Memory System.
- March 9, 2021
Franz-Josef Pfreundt and Jens Krüger, Fraunhofer ITWM: The STX Processor – Hardware and Programming.
- February 23, 2021
Georg Hager, NHR@FAU: A closer look at the Fujitsu A64FX processor.