Ulf Schlichtmann

Professor of Electronic Design Automation

Technical University of Munich

Germany

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Ulf Schlichtmann is a Professor of Electronic Design Automation at the Technical University of Munich, Germany. His research areas include bandwidth and crosstalk optimization for optical networks, high-level synthesis code optimization, FeFET technologies, and deep learning applications in microcontroller performance screening. He has contributed to various publications focused on efficient data processing and device design, emphasizing the intersection of electronics and computer science.

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Collaborators (8)

Kangwei Xu

Technical University of Munich

GERMANY

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Krishnendu Chakrabarty

Arizona State University

UNITED STATES

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Tsun-Ming Tseng

Ludwig-Maximilians-Universität München

GERMANY

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Mohsen Imani

Assistant Professor

University of California, Irvine

UNITED STATES

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Xing Huang

Technical University of Munich

GERMANY

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Li Zhang

Prof. Dr.-Ing.

Technische Universität Darmstadt

GERMANY

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RICCARDO CANTORO

Associate Professor

Politecnico di Torino

ITALY

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Robert Wille

Full and Distinguished Professor

Technical University of Munich

GERMANY

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Ulf Schlichtmann

Research Interests

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About

Articles (26)

Bandwidth and Crosstalk Optimisation for Wavelength-Routed Optical Networks-on-Chip Using Pareto Simulated Annealing

HLSRewriter: Efficient Refactoring and Optimization of C/C++ Code with LLMs for High-Level Synthesis

ToPro+: a topology projector considering port assignment and waveguide routing for wavelength-routed optical networks-on-chip

A Homogeneous FeFET-Based Time-Domain Compute-in-Memory Fabric for Matrix-Vector Multiplication and Associative Search

A Scalable 2T-1FeFET-Based Content Addressable Memory Design for Energy Efficient Data Search

COSMO: COmpressed Sensing for Models and Logging Optimization in MCU Performance Screening

Efficient Model Switching in RRAM-Based DNN Accelerators

A 3D Hybrid Optical-Electrical NoC Using Novel Mapping Strategy Based DCNN Dataflow Acceleration

GNN-Based Concentration Prediction With Variable Input Flow Rates for Microfluidic Mixers

CorrectNet+: Dealing With HW Non-Idealities in In-Memory-Computing Platforms by Error Suppression and Compensation

Aging-Aware Energy-Efficient Task Deployment of Heterogeneous Multicore Systems

Combinatorial-Coding-Based High-Performance Microfluidic Control Multiplexer: Design, Synthesis, and Adaptation

Deep Learning Strategies for Labeling and Accuracy Optimization in Microcontroller Performance Screening

Manufacturing Cycle Time Optimization for Inkjet-Printed Electronics

On the Relation Between Reliability and Entropy in Physical Unclonable Functions

A Multilabel Active Learning Framework for Microcontroller Performance Screening

BRoCoM: A Bayesian Framework for Robust Computing on Memristor Crossbar

Hardware-Efficient Duobinary Neural Network Equalizers for 800 Gb/s IM/DD PAM4 Transmission Over 10 km SSMF

Integrated Test Module Design for Microfluidic Large-Scale Integration

Ferroelectric Ternary Content Addressable Memories for Energy-Efficient Associative Search

Training PPA Models for Embedded Memories on a Low-data Diet

Guest Editors’ Introduction: Special Issue on Machine Learning for CAD/EDA

Machine Learning in Advanced IC Design: A Methodological Survey

Accurate Infinite-Order Crosstalk Calculation for Optical Networks-on-Chip

Design Automation for Continuous-Flow Lab-on-a-Chip Systems: A One-Pass Paradigm

Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning

Collaborators (8)

Kangwei Xu

Krishnendu Chakrabarty

Tsun-Ming Tseng

Mohsen Imani

Xing Huang

Li Zhang

RICCARDO CANTORO

Robert Wille

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