HF
Holger Fröning
cs.LGcs.ARcs.DCcs.PFcs.DBcs.ETstat.MLcs.AIcond-mat.dis-nncs.CV
On Valency
published · living versionsW_q9h3abua·v1 · currentpublished
Workload-Static Optical Circuit Switching For Scalable LLM Inference Decode
with Maximilian Thürmer, Nicolas Scotto di Perto, Eloise Stein, Natanijel Vasic +4
1 version
Preprints & journals
37 papers in the corpus · 2019–2026Beyond Noise: Understanding and Overcoming Temperature Effects in Analog DNN Inference2609.15527v1 · Niklas Summ, Xiao Wang, Hendrik Borras et al.2026 · 0 citationsarXiv
Constrained Co-Design for Photonic Bayesian Neural Networks2608.02229v1 · Hendrik Borras, Xiao Wang, Bernhard Klein et al.2026 · 0 citationsarXiv
A Tabular Schedule Abstraction for Communication-Aware Evaluation of Pipeline-Parallel LLM Training2605.24006v1 · Daniel Barley, Jonathan Leis, Benjamin Klenk et al.2026 · 0 citationsarXiv
Inverse Neural Operator for ODE Parameter Optimization2603.11854v1 · Zhi-Song Liu, Wenqing Peng, Helmi Toropainen et al.2026 · 0 citationsarXiv
Probabilistic Photonic Computing2602.19968v1 · Frank Bruckerhoff-Pluckelmann, Anna P. Ovvyan, Akhil Varri et al.2026 · 0 citationsarXiv
Uncertainty-Preserving QBNNs: Multi-Level Quantization of SVI-Based Bayesian Neural Networks for Image Classification2512.10602v1 · Hendrik Borras, Yong Wu, Bernhard Klein et al.2025 · 0 citationsarXiv
Accelerated Execution of Bayesian Neural Networks using a Single Probabilistic Forward Pass and Code Generation2511.23440v2 · Bernhard Klein, Falk Selker, Hendrik Borras et al.2025 · 0 citationsarXiv
Scalable and Efficient Intra- and Inter-node Interconnection Networks for Post-Exascale Supercomputers and Data centers2511.04677v1 · Joaquin Tarraga-Moreno, Daniel Barley, Francisco J. Andujar Munoz et al.2025 · 0 citationsarXiv
Probabilistic photonic computing for AI.40410587 · Brückerhoff-Plückelmann, Frank, Ovvyan, Anna P, Varri, Akhil et al.2025 · 12 citationsNature computational science. 2025;5(5):377-387
Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations2503.16183v2 · Xiao Wang, Hendrik Borras, Bernhard Klein et al.2025 · 1 citationarXiv
On Hardening DNNs against Noisy Computations2501.14531v1 · Xiao Wang, Hendrik Borras, Bernhard Klein et al.2025 · 0 citationsarXiv
Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles2412.15758v1 · Sophie Steger, Christian Knoll, Bernhard Klein et al.2024 · 1 citationarXiv
Probabilistic photonic computing with chaotic light.39617761 · Brückerhoff-Plückelmann, Frank, Borras, Hendrik, Klein, Bernhard et al.2026 · 33 citationsNature communications. 2024;15(1):10445
Less Memory Means smaller GPUs: Backpropagation with Compressed Activations2409.11902v1 · Daniel Barley, Holger Froning2024 · 0 citationsarXiv
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems2405.07749v1 · Franz Kevin Stehle, Wainer Vandelli, Giuseppe Avolio et al.2024 · 12 citationsProceedings of the 38th ACM International Conference on Supercomputing (ICS '24), June 4--7, 2024, Kyoto, Japan
GraphMatch: Subgraph Query Processing on FPGAs2402.17559v1 · Jonas Dann, Tobias Gotz, Daniel Ritter et al.2024 · 0 citationsarXiv
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification2401.05820v1 · Yannick Emonds, Kai Xi, Holger Froning2024 · 0 citationsarXiv
Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning2311.16883v2 · Daniel Barley, Holger Froning2023 · 0 citationsarXiv
On Performance Analysis of Graphcore IPUs: Analyzing Squared and Skewed Matrix Multiplication2310.00256v1 · S.-Kazem Shekofteh, Christian Alles, Nils Kochendorfer et al.2023 · 1 citationarXiv
On the Non-Associativity of Analog Computations2309.14292v1 · Lisa Kuhn, Bernhard Klein, Holger Froning2023 · 1 citationarXiv
Reducing Memory Requirements for the IPU using Butterfly Factorizations2309.08946v1 · S.-Kazem Shekofteh, Christian Alles, Holger Froning2023 · 5 citationsarXiv
Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics2212.10430v2 · Hendrik Borras, Bernhard Klein, Holger Froning2022 · 1 citationarXiv
Towards Hardware-Specific Automatic Compression of Neural Networks2212.07818v1 · Torben Krieger, Bernhard Klein, Holger Froning2022 · 0 citationsarXiv
GraphScale: Scalable Bandwidth-Efficient Graph Processing on FPGAs2206.08432v1 · Jonas Dann, Daniel Ritter, Holger Froning2022 · 5 citationsarXiv
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness2205.15568v1 · Dennis Rieber, Moritz Reiber, Oliver Bringmann et al.2022 · 1 citationarXiv
Scheduling of Graph Queries: Controlling Intra- and Inter-query Parallelism for a High System Throughput2110.10797v1 · Matthias Hauck (1, Ismail Oukid, Holger Froning2021 · 1 citationarXiv
Joint Program and Layout Transformations to enable Convolutional Operators on Specialized Hardware based on Constraint Programming2104.04731v4 · Dennis Rieber, Axel Acosta, Holger Froning2021 · 0 citationsarXiv
Demystifying Memory Access Patterns of FPGA-Based Graph Processing Accelerators2104.07776v1 · Jonas Dann, Daniel Ritter, Holger Froning2021 · 7 citationsarXiv
Understanding Cache Boundness of ML Operators on ARM Processors2102.00932v1 · Bernhard Klein, Christoph Gratl, Manfred Mucke et al.2021 · 0 citationsarXiv
Exploring Memory Access Patterns for Graph Processing Accelerators2010.13619v3 · Jonas Dann, Daniel Ritter, Holger Froning2020 · 4 citationsarXiv
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks2010.11773v2 · Wolfgang Roth, Gunther Schindler, Holger Froning et al.2020 · 1 citationarXiv
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement2007.11477v1 · Lukas Pfeifenberger, Matthias Zohrer, Gunther Schindler et al.2020 · 0 citationsarXiv
Non-Relational Databases on FPGAs: Survey, Design Decisions, Challenges2007.07595v1 · Jonas Dann, Daniel Ritter, Holger Froning2020 · 12 citationsarXiv
On the Difficulty of Designing Processor Arrays for Deep Neural Networks2006.14008v1 · Kevin Stehle, Gunther Schindler, Holger Froning2020 · 3 citationsarXiv
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels2001.07104v3 · Lorenz Braun, Sotirios Nikas, Chen Song et al.2020 · 48 citationsarXiv
Resource-Efficient Neural Networks for Embedded Systems2001.03048v3 · Wolfgang Roth, Gunther Schindler, Bernhard Klein et al.2020 · 52 citationsarXiv
Parameterized Structured Pruning for Deep Neural Networks1906.05180v1 · Guenther Schindler, Wolfgang Roth, Franz Pernkopf et al.2019 · 6 citationsarXiv
Career total: 174 works. 37 are in this corpus.
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