Tanja Harbaum - researchr alias

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Viewing Publication 1 - 46 from 46

2025

2024

KIHT: Kaligo-Based Intelligent Handwriting TeacherTanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Jens Barth, Peter Kämpf, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jessica Delahaie. date 2024: 1-6 [doi]

BayWatch: Leveraging Bayesian Neural Networks for Hardware Fault Tolerance and MonitoringJulian Höfer, Matthias Stammler, Fabian Kreß, Tim Hotfilter, Tanja Harbaum, Jürgen Becker 0001. dft 2024: 1-6 [doi]

A Challenge-Based Blended Learning Approach for an Introductory Digital Circuits and Systems CourseJulian Höfer, Michael Gauß, Manuela Adams, Fabian Kreß, Fabian Kempf, Christian Maximilian Karle, Tanja Harbaum, Andreas Barth 0001, Jürgen Becker 0001. iscas 2024: 1-5 [doi]

Scalable Multi-Level Synchronization Technique of Distributed Multi-RFSoC-Server Systems for 6GChristian Maximilian Karle, Marc Neu, Benjamin Nuss, Lukas Witte, Andre Scheder, Eva Waldner, Ema Shkurtaj, Tanja Harbaum, Jürgen Becker 0001. socc 2024: 1-6 [doi]

Modular Hardware Design for High-Performance MIMO-Capable SDR Systems to Accelerate 6G DevelopmentChristian Maximilian Karle, Marc Neu, Benjamin Nuss, Jiayi Chen, Lukas Witte, Andre Scheder, Tanja Harbaum, Jürgen Becker 0001. socc 2024: 1-6 [doi]

On Metric-Driven Development of Embedded Neuromorphic AIJann Krausse, Moritz Neher, Iris Fürst-Walter, Carmen Weigelt, Tanja Harbaum, Klaus Knobloch, Jürgen Becker 0001. socc 2024: 1-6 [doi]

VHDL Crash Course: A Multimedia-Based Teaching ApproachFabian Kreß, Vladimir Sidorenko, Iuliia Topko, Kai Lukas Unger, Tanja Harbaum, Jürgen Becker 0001. gecon2 2024: 1-6 [doi]

Automated Deep Neural Network Inference Partitioning for Distributed Embedded SystemsFabian Kreß, El Mahdi El Annabi, Tim Hotfilter, Julian Höfer, Tanja Harbaum, Jürgen Becker 0001. isvlsi 2024: 39-44 [doi]

LOTTA: An FPGA-based Low-Power Temporal Convolutional Network Hardware AcceleratorFabian Kreß, Alexey Serdyuk, Denis Kobsar, Tim Hotfilter, Julian Höfer, Tanja Harbaum, Jürgen Becker 0001. socc 2024: 126-131 [doi]

Enhanced Accelerator Design for Efficient CNN Processing with Improved Row-Stationary DataflowFabian Lesniak, Annina Gutermann, Tanja Harbaum, Jürgen Becker 0001. glvlsi 2024: 151-157 [doi]

A Dynamically Pipelined Dataflow Architecture for Graph Convolutions in Real-Time Event InterpretationMarc Neu, Christian Maximilian Karle, Patrick Schmidt, Julian Höfer, Tanja Harbaum, Jürgen Becker 0001. socc 2024: 1-6 [doi]

RVVe: A Minimal RISC-V Vector Processor for Embedded AI AccelerationPatrick Schmidt, Johannes Pfau, Tim Hotfilter, Matthias Stammler, Tanja Harbaum, Jürgen Becker 0001. socc 2024: 1-6 [doi]

Improving Online Handwriting Trajectory Reconstruction Based on Temporal Convolutional NetworksAlexey Serdyuk, Fabian Kreß, Iuliia Topko, Tanja Harbaum, Jürgen Becker 0001, Tim Hamann, Peter Kämpf. sdf 2024: 1-8 [doi]

ICE TEA: Insertion of Custom Early Exits for Time-, Energy- & Anomaly-Aware Neural NetworksMatthias Stammler, Julian Höfer, Patrick Schmidt, Tanja Harbaum, Jürgen Becker 0001. isvlsi 2024: 656-660 [doi]

Towards a General Compilation Approach for On-device Training in Embedded SystemsIuliia Topko, Tanja Harbaum, Jürgen Becker 0001. norcas 2024: 1-7 [doi]

2023

DREAM: Distributed Reinforcement Learning Enabled Adaptive Mixed-Critical NoCNidhi Anantharajaiah, Yunhe Xu, Fabian Lesniak, Tanja Harbaum, Jürgen Becker 0001. isvlsi 2023: 1-6 [doi]

Reinforcement Learning Enabled Multi-Layered NoC for Mixed Criticality SystemsNidhi Anantharajaiah, Fabian Lesniak, Tanja Harbaum, Jürgen Becker 0001. mcsoc 2023: 38-44 [doi]

Design Space Exploration on Efficient and Accurate Human Pose Estimation from Sparse IMU-SensingIris Fürst-Walter, Antonio Nappi, Tanja Harbaum, Jürgen Becker 0001. iros 2023: 10888-10893 [doi]

An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN WorkloadTim Hotfilter, Patrick Schmidt, Julian Höfer, Fabian Kreß, Tanja Harbaum, Jürgen Becker 0001. hipeac 2023: 73-78 [doi]

Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy EfficiencyTim Hotfilter, Julian Höfer, Philipp Merz, Fabian Kreß, Fabian Kempf, Tanja Harbaum, Jürgen Becker 0001. socc 2023: 1-6 [doi]

A Hardware-Centric Approach to Increase and Prune Regular Activation Sparsity in CNNsTim Hotfilter, Julian Höfer, Fabian Kreß, Fabian Kempf, Leonhard Kraft, Tanja Harbaum, Jürgen Becker 0001. aicas 2023: 1-5 [doi]

SiFI-AI: A Fast and Flexible RTL Fault Simulation Framework Tailored for AI Models and AcceleratorsJulian Höfer, Fabian Kempf, Tim Hotfilter, Fabian Kreß, Tanja Harbaum, Jürgen Becker 0001. glvlsi 2023: 287-292 [doi]

A Hardware-Aware Sampling Parameter Search for Efficient Probabilistic Object DetectionJulian Höfer, Tim Hotfilter, Fabian Kreß, Chen Qiu, Tanja Harbaum, Jürgen Becker 0001. icvs 2023: 299-309 [doi]

CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systemsFabian Kreß, Vladimir Sidorenko, Patrick Schmidt, Julian Höfer, Tim Hotfilter, Iris Walter, Tanja Harbaum, Jürgen Becker 0001. cn, 229:109759, June 2023. [doi]

ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT ApplicationsFabian Kreß, Alexey Serdyuk, Micha Hiegle, Disnebio Waldmann, Tim Hotfilter, Julian Höfer, Tim Hamann, Jens Barth, Peter Kämpf, Tanja Harbaum, Jürgen Becker 0001. dsd 2023: 569-576 [doi]

Automated Replacement of State-Holding Flip-Flops to Enable Non-Volatile CheckpointingFabian Kreß, Johannes Pfau, Fabian Kempf, Patrick Schmidt, Zhuofan He, Tanja Harbaum, Jürgen Becker 0001. norcas 2023: 1-7 [doi]

Approximate Accelerators: A Case Study using Runtime Reconfigurable ProcessorsFabian Lesniak, Tanja Harbaum, Jürgen Becker 0001. socc 2023: 1-6 [doi]

Low-latency inter-domain communication on the Xen hypervisorFabian Lesniak, Tanja Harbaum, Jürgen Becker 0001. mcsoc 2023: 340-346 [doi]

Non-Intrusive Runtime Monitoring for Manycore PrototypesFabian Lesniak, Nidhi Anantharajaiah, Tanja Harbaum, Jürgen Becker 0001. hipeac 2023: 31-38 [doi]

Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced PenAlexey Serdyuk, Fabian Kreß, Micha Hiegle, Tanja Harbaum, Jürgen Becker 0001, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jens Barth, Peter Kämpf. wf-iot 2023: 1-6 [doi]

EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly DetectionMatthias Stammler, Julian Höfer, David Kraus, Patrick Schmidt, Tim Hotfilter, Tanja Harbaum, Jürgen Becker 0001. inns-dlia 2023: 499-508 [doi]

Mitigating Masking in Automotive Communication Systems: Modeling and Hardware GenerationMatthias Stammler, Matthias Hamann, Tanja Harbaum, Jürgen Becker 0001. dsd 2023: 561-568 [doi]

2022

Runtime Adaptive Cache Checkpointing for RISC Multi-Core ProcessorsFabian Kempf, Julian Höfer, Fabian Kreß, Tim Hotfilter, Tanja Harbaum, Jürgen Becker 0001. socc 2022: 1-6 [doi]

Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGAFabian Kreß, Julian Höfer, Tim Hotfilter, Iris Walter, El Mahdi El Annabi, Tanja Harbaum, Jürgen Becker 0001. pkdd 2023: 557-568 [doi]

Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor PenFabian Kreß, Alexey Serdyuk, Tim Hotfilter, Julian Höfer, Tanja Harbaum, Jürgen Becker 0001, Tim Hamann. meco 2022: 1-4 [doi]

Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI ApplicationsFabian Kreß, Julian Höfer, Tim Hotfilter, Iris Walter, Vladimir Sidorenko, Tanja Harbaum, Jürgen Becker 0001. dcoss 2022: 133-140 [doi]

2019

A Hardware Perspective on the ChaCha Ciphers: Scalable Chacha8/12/20 Implementations Ranging from 476 Slices to Bitrates of 175 Gbit/sJohannes Pfau, Maximilian Reuter, Tanja Harbaum, Klaus Hofmann, Jürgen Becker 001. socc 2019: 294-299 [doi]

2018

A Content - Adapted FPGA Memory Architecture with Pattern Recognition Capability and Interval Compressing TechniqueTanja Harbaum, Matthias Balzer, Marc Weber, Jürgen Becker. socc 2018: 206-212 [doi]

2017

Auto-SI: An adaptive reconfigurable processor with run-time loop detection and accelerationTanja Harbaum, Christoph Schade, Marvin Damschen, Carsten Tradowsky, Lars Bauer, Jörg Henkel, Jürgen Becker. socc 2017: 153-158 [doi]

2016

A Content Adapted FPGA Memory Architecture with Pattern Recognition Capability for L1 Track Triggering in the LHC EnvironmentTanja Harbaum, Mahmoud Seboui, Matthias Balzer, Jürgen Becker, Marc Weber. fccm 2016: 184-191 [doi]

2013

LImbiC: An adaptable architecture description language model for developing an application-specific image processorCarsten Tradowsky, Tanja Harbaum, Shaver Deyerle, Jürgen Becker. isvlsi 2013: 34-39 [doi]

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