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ORCIDUlf Schlichtmann
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- affiliation: Technical University of Munich, Institute for Electronic Design Automation, Germany
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2020 – today
- 2023
[j70]Xing Huang
, Youlin Pan, Zhen Chen, Wenzhong Guo, Lu Wang, Qingshan Li, Robert Wille, Tsung-Yi Ho, Ulf Schlichtmann:
Design Automation for Continuous-Flow Lab-on-a-Chip Systems: A One-Pass Paradigm. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 327-331 (2023)- 2022
- [j69]Xing Huang, Tsung-Yi Ho, Wenzhong Guo, Bing Li, Krishnendu Chakrabarty, Ulf Schlichtmann:
Computer-aided Design Techniques for Flow-based Microfluidic Lab-on-a-chip Systems. ACM Comput. Surv. 54(5): 97:1-97:29 (2022) - [j68]Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann:
An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-core Processors. ACM Trans. Archit. Code Optim. 19(3): 31:1-31:24 (2022) - [j67]Xing Huang, Wenzhong Guo, Zhisheng Chen, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann:
Flow-Based Microfluidic Biochips With Distributed Channel Storage: Synthesis, Physical Design, and Wash Optimization. IEEE Trans. Computers 71(2): 464-478 (2022) - [j66]Xing Huang, Youlin Pan, Grace Li Zhang, Bing Li, Wenzhong Guo, Tsung-Yi Ho, Ulf Schlichtmann:
PathDriver+: Enhanced Path-Driven Architecture Design for Flow-Based Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(7): 2185-2198 (2022) - [j65]Hui-Chieh Yu, Yu-Huei Lin, Zhiyang Chen, Bing Li, Xing Huang, Ulf Schlichtmann, Tsung-Yi Ho, Hailong Yao:
Contamination-Aware Synthesis for Programmable Microfluidic Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 5016-5029 (2022) - [j64]Xiao Moyuan, Tsun-Ming Tseng, Ulf Schlichtmann:
Crosstalk-Aware Automatic Topology Customization and Optimization for Wavelength-Routed Optical NoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5261-5274 (2022) - [j63]Xing Huang, Tsung-Yi Ho, Zepeng Li, Genggeng Liu, Lu Wang, Qingshan Li, Wenzhong Guo, Bing Li, Ulf Schlichtmann:
MiniControl 2.0: Co-Synthesis of Flow and Control Layers for Microfluidic Biochips With Strictly Constrained Control Ports. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5449-5463 (2022) - [j62]Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann:
VirtualSync+: Timing Optimization With Virtual Synchronization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5526-5540 (2022) - [c198]Felix Last, Ceren Yeni, Ulf Schlichtmann:
Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level. ASP-DAC 2022: 506-512 - [c197]Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. DAC 2022: 751-756 - [c196]Weiqing Ji, Xingzhuo Guo, Shouan Pan, Tsung-Yi Ho, Ulf Schlichtmann, Hailong Yao:
GNN-based concentration prediction for random microfluidic mixers. DAC 2022: 763-768 - [c195]Duan Shen, Yushen Zhang, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann:
Contamination-Free Switch Design and Synthesis for Microfluidic Large-Scale Integration. DATE 2022: 646-651 - [c194]Grace Li Zhang, Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann:
RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming. DSD 2022: 423-428 - [c193]Francesco Angione, Davide Appello, J. Aribido, J. Athavale, Nicolò Bellarmino, Paolo Bernardi, Riccardo Cantoro, Corrado De Sio, Tommaso Foscale, Gabriele Gavarini, J. Guerrero, M. Huch, Giusy Iaria, T. Kilian, R. Mariani, R. Martone, Annachiara Ruospo, E. Sanchez, Ulf Schlichtmann, Giovanni Squillero, Matteo Sonza Reorda, Luca Sterpone, Vincenzo Tancorre, Roberto Ugioli:
Test, Reliability and Functional Safety Trends for Automotive System-on-Chip. ETS 2022: 1-10 - [c192]Tobias Kilian, Markus Hanel, Daniel Tille, Martin Huch, Ulf Schlichtmann:
Reducing Routing Overhead by Self-Enabling Functional Path Ring Oscillators. ETS 2022: 1-6 - [c191]Conrad Foik, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
CorePerfDSL: A Flexible Processor Description Language for Software Performance Simulation. FDL 2022: 1-8 - [c190]Siyuan Liang, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann, Tsung-Yi Ho:
CoMUX: Combinatorial-Coding-Based High-Performance Microfluidic Control Multiplexer Design. ICCAD 2022: 116:1-116:9 - [c189]Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero:
Microcontroller Performance Screening: Optimizing the Characterization in the Presence of Anomalous and Noisy Data. IOLTS 2022: 1-7 - [c188]Wenwen Ye, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Aging Aware Retraining for Memristor-based Neuromorphic Computing. ISCAS 2022: 3294-3298 - [c187]Tobias Kilian, Markus Hanel, Daniel Tille, Martin Huch, Ulf Schlichtmann:
A Path Selection Flow for Functional Path Ring Oscillators using Physical Design Data. ITC 2022: 258-267 - [c186]Uzair Sharif, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
COMPAS: Compiler-assisted Software-implemented Hardware Fault Tolerance for RISC-V. MECO 2022: 1-4 - [c185]Ahsan Saeed, Dakshina Dasari, Dirk Ziegenbein, Varun Rajasekaran, Falk Rehm, Michael Pressler, Arne Hamann, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
Memory Utilization-Based Dynamic Bandwidth Regulation for Temporal Isolation in Multi-Cores. RTAS 2022: 133-145 - [i30]Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann:
VirtualSync+: Timing Optimization with Virtual Synchronization. CoRR abs/2203.05516 (2022) - [i29]Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann:
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation. CoRR abs/2211.14917 (2022) - [i28]Wenhao Sun, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Bing Li, Ulf Schlichtmann:
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement. CoRR abs/2211.14926 (2022) - [i27]Wenhao Sun, Grace Li Zhang, Huaxi Gu, Bing Li, Ulf Schlichtmann:
Class-based Quantization for Neural Networks. CoRR abs/2211.14928 (2022) - [i26]Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen:
Biologically Plausible Learning on Neuromorphic Hardware Architectures. CoRR abs/2212.14337 (2022) - 2021
- [j61]Marilyn Wolf, Jörg Henkel, Raviv Gal, Ulf Schlichtmann:
Report on First and Second ACM/IEEE Workshop on Machine Learning for CAD (MLCAD). IEEE Des. Test 38(2): 97-99 (2021) - [j60]Rafael Stahl, Alexander Hoffman, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices. Int. J. Parallel Program. 49(4): 600-624 (2021) - [j59]Marcel Mettler, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
A Distributed Hardware Monitoring System for Runtime Verification on Multi-Tile MPSoCs. ACM Trans. Archit. Code Optim. 18(1): 8:1-8:25 (2021) - [j58]Chunfeng Liu, Xing Huang, Bing Li, Hailong Yao, Paul Pop, Tsung-Yi Ho, Ulf Schlichtmann:
DCSA: Distributed Channel-Storage Architecture for Flow-Based Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(1): 115-128 (2021) - [j57]Uzair Sharif, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
REPAIR: Control Flow Protection based on Register Pairing Updates for SW-Implemented HW Fault Tolerance. ACM Trans. Embed. Comput. Syst. 20(5s): 70:1-70:22 (2021) - [c184]Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann:
Connection-based Processing-In-Memory Engine Design Based on Resistive Crossbars. ASP-DAC 2021: 107-113 - [c183]Zhidan Zheng, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann:
Light: A Scalable and Efficient Wavelength-Routed Optical Networks-On-Chip Topology. ASP-DAC 2021: 568-573 - [c182]Grace Li Zhang, Bing Li, Ying Zhu, Tianchen Wang, Yiyu Shi, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann:
Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks. ASP-DAC 2021: 853-858 - [c181]Di Gao, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo:
Bayesian Inference Based Robust Computing on Memristor Crossbar. DAC 2021: 121-126 - [c180]Jingyao Zhang, Huaxi Gu, Grace Li Zhang, Bing Li, Ulf Schlichtmann:
Hardware-Software Codesign of Weight Reshaping and Systolic Array Multiplexing for Efficient CNNs. DATE 2021: 667-672 - [c179]Grace Li Zhang, Bing Li, Xing Huang, Chen Shen, Shuhang Zhang, Florin Burcea, Helmut Graeb, Tsung-Yi Ho, Hai Li, Ulf Schlichtmann:
An Efficient Programming Framework for Memristor-based Neuromorphic Computing. DATE 2021: 1068-1073 - [c178]Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. DATE 2021: 1090-1095 - [c177]Xiao Moyuan, Tsun-Ming Tseng, Ulf Schlichtmann:
FAST: A Fast Automatic Sweeping Topology Customization Method for Application-Specific Wavelength-Routed Optical NoCs. DATE 2021: 1651-1656 - [c176]Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero:
Exploiting Active Learning for Microcontroller Performance Prediction. ETS 2021: 1-4 - [c175]Di Gao, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo:
Reliable Memristor-based Neuromorphic Design Using Variation- and Defect-Aware Training. ICCAD 2021: 1-9 - [c174]Xing Huang, Youlin Pan, Zhen Chen, Wenzhong Guo, Robert Wille, Tsung-Yi Ho, Ulf Schlichtmann:
BigIntegr: One-Pass Architectural Synthesis for Continuous-Flow Microfluidic Lab-on-a-Chip Systems. ICCAD 2021: 1-8 - [c173]Tsun-Ming Tseng, Meng Lian, Mengchu Li, Philipp Rinklin, Leroy Grob, Bernhard Wolfrum, Ulf Schlichtmann:
Manufacturing Cycle-Time Optimization Using Gaussian Drying Model for Inkjet-Printed Electronics. ICCAD 2021: 1-8 - [c172]Shuhang Zhang, Hai Li, Ulf Schlichtmann:
Peripheral Circuitry Assisted Mapping Framework for Resistive Logic-In-Memory Computing. ICCAD 2021: 1-9 - [c171]Zhidan Zheng, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann:
ToPro: A Topology Projector and Waveguide Router for Wavelength-Routed Optical Networks-on-Chip. ICCAD 2021: 1-9 - [c170]Fangda Zuo, Mengchu Li, Tsun-Ming Tseng, Tsung-Yi Ho, Ulf Schlichtmann:
Relative-Scheduling-Based High-Level Synthesis for Flow-Based Microfluidic Biochips. ICCAD 2021: 1-9 - [c169]Yu-Kai Chuang, Yong Zhong, Yi-Hao Cheng, Bo-Yi Yu, Shao-Yun Fang, Bing Li, Ulf Schlichtmann:
RobustONoC: Fault-Tolerant Optical Networks-on-Chip with Path Backup and Signal Reflection. ISQED 2021: 67-72 - [c168]Tobias Kilian, Heiko Ahrens, Daniel Tille, Martin Huch, Ulf Schlichtmann:
A Scalable Design Flow for Performance Monitors Using Functional Path Ring Oscillators. ITC 2021: 299-303 - [c167]Felix Last, Ulf Schlichtmann:
Feeding Hungry Models Less: Deep Transfer Learning for Embedded Memory PPA Models : Special Session. MLCAD 2021: 1-6 - [c166]Ahsan Saeed, Daniel Mueller-Gritschneder, Falk Rehm, Arne Hamann, Dirk Ziegenbein, Ulf Schlichtmann, Andreas Gerstlauer:
Learning based Memory Interference Prediction for Co-running Applications on Multi-Cores. MLCAD 2021: 1-6 - [i25]Felix Last, Ceren Yeni, Ulf Schlichtmann:
Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level. CoRR abs/2109.09502 (2021) - 2020
- [j56]Rafael Stahl, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Driver Generation for IoT Nodes With Optimization of the Hardware/Software Interface. IEEE Embed. Syst. Lett. 12(2): 66-69 (2020) - [j55]Johanna Baehr, Alessandro Bernardini, Georg Sigl, Ulf Schlichtmann:
Machine learning and structural characteristics for reverse engineering. Integr. 72: 1-12 (2020) - [j54]Yasamin Moradi, Mohamed Ibrahim, Krishnendu Chakrabarty, Ulf Schlichtmann:
An Efficient Fault-Tolerant Valve-Based Microfluidic Routing Fabric for Droplet Barcoding in Single-Cell Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(2): 359-372 (2020) - [j53]Qin Wang, Ulf Schlichtmann, Yici Cai, Weiqing Ji, Zeyan Li, Haena Cheong, Oh-Sun Kwon, Hailong Yao, Tsung-Yi Ho, Kwanwoo Shin, Bing Li:
Integrated Control-Fluidic Codesign Methodology for Paper-Based Digital Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(3): 613-625 (2020) - [j52]Ying Zhu, Xing Huang, Bing Li, Tsung-Yi Ho, Qin Wang, Hailong Yao, Robert Wille, Ulf Schlichtmann:
Multicontrol: Advanced Control-Logic Synthesis for Flow-Based Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2489-2502 (2020) - [j51]Chunfeng Liu, Bing Li, Bhargab B. Bhattacharya, Krishnendu Chakrabarty, Tsung-Yi Ho, Ulf Schlichtmann:
Test Generation for Flow-Based Microfluidic Biochips With General Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2530-2543 (2020) - [j50]Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4482-4495 (2020) - [j49]Alexandre Truppel, Tsun-Ming Tseng, Davide Bertozzi, José Carlos Alves, Ulf Schlichtmann:
PSION+: Combining Logical Topology and Physical Layout Optimization for Wavelength-Routed ONoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5197-5210 (2020) - [j48]Felix Last, Max Haeberlein, Ulf Schlichtmann:
Predicting Memory Compiler Performance Outputs Using Feed-forward Neural Networks. ACM Trans. Design Autom. Electr. Syst. 25(5): 39:1-39:19 (2020) - [j47]Yong Hu, Marcel Mettler, Daniel Mueller-Gritschneder, Thomas Wild, Andreas Herkersdorf, Ulf Schlichtmann:
Machine Learning Approaches for Efficient Design Space Exploration of Application-Specific NoCs. ACM Trans. Design Autom. Electr. Syst. 25(5): 44:1-44:27 (2020) - [c165]Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann:
Lifetime Enhancement for RRAM-based Computing-In-Memory Engine Considering Aging and Thermal Effects. AICAS 2020: 11-15 - [c164]Uzair Sharif, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Investigating the Inherent Soft Error Resilience of Embedded Applications by Full-System Simulation. ASP-DAC 2020: 80-84 - [c163]Mengchu Li, Tsun-Ming Tseng, Mahdi Tala, Ulf Schlichtmann:
Maximizing the Communication Parallelism for Wavelength-Routed Optical Networks-On-Chips. ASP-DAC 2020: 109-114 - [c162]Grace Li Zhang, Michaela Brunner, Bing Li, Georg Sigl, Ulf Schlichtmann:
Timing Resilience for Efficient and Secure Circuits. ASP-DAC 2020: 623-628 - [c161]Gautam Choudhary, Sandeep Pal, Debraj Kundu, Sukanta Bhattacharjee, Shigeru Yamashita, Bing Li, Ulf Schlichtmann, Sudip Roy:
Transport-Free Module Binding for Sample Preparation using Microfluidic Fully Programmable Valve Arrays. DATE 2020: 1335-1338 - [c160]Shuhang Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann:
A Pulse-width Modulation Neuron with Continuous Activation for Processing-In-Memory Engines. DATE 2020: 1426-1431 - [c159]Ying Zhu, Grace Li Zhang, Tianchen Wang, Bing Li, Yiyu Shi, Tsung-Yi Ho, Ulf Schlichtmann:
Statistical Training for Neuromorphic Computing using Memristor-based Crossbars Considering Process Variations and Noise. DATE 2020: 1590-1593 - [c158]Grace Li Zhang, Bing Li, Ying Zhu, Shuhang Zhang, Tianchen Wang, Yiyu Shi, Tsung-Yi Ho, Hai (Helen) Li, Ulf Schlichtmann:
Reliable and Robust RRAM-based Neuromorphic Computing. ACM Great Lakes Symposium on VLSI 2020: 33-38 - [c157]Xing Huang, Youlin Pan, Grace Li Zhang, Bing Li, Wenzhong Guo, Tsung-Yi Ho, Ulf Schlichtmann:
PathDriver: A Path-Driven Architectural Synthesis Flow for Continuous-Flow Microfluidic Biochips. ICCAD 2020: 29:1-29:8 - [c156]Alexandre Truppel, Tsun-Ming Tseng, Ulf Schlichtmann:
PSION 2: Optimizing Physical Layout of Wavelength-Routed ONoCs for Laser Power Reduction. ICCAD 2020: 43:1-43:9 - [c155]Ing-Chao Lin, Ulf Schlichtmann, Tsung-Wei Huang, Mark Po-Hung Lin:
Overview of 2020 CAD Contest at ICCAD. ICCAD 2020: 67:1-67:3 - [c154]Ying Zhu, Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann:
Countering Variations and Thermal Effects for Accurate Optical Neural Networks. ICCAD 2020: 152:1-152:7 - [c153]Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero:
Machine Learning based Performance Prediction of Microcontrollers using Speed Monitors. ITC 2020: 1-5 - [c152]Felix Last, Ulf Schlichtmann:
Partial Sharing Neural Networks for Multi-Target Regression on Power and Performance of Embedded Memories. MLCAD 2020: 123-128 - [c151]Marcel Mettler, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Runtime Monitoring of Inter- and Intra-Thread Requirements on Embedded MPSoCs. VLSID 2020: 49-54 - [e2]Ulf Schlichtmann, Raviv Gal, Hussam Amrouch, Hai (Helen) Li:
MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, Virtual Event, Iceland, November 16-20, 2020. ACM 2020, ISBN 978-1-4503-7519-1 [contents] - [i24]Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). CoRR abs/2003.00862 (2020) - [i23]Felix Last, Max Haeberlein, Ulf Schlichtmann:
Predicting Memory Compiler Performance Outputs using Feed-Forward Neural Networks. CoRR abs/2003.03269 (2020)
2010 – 2019
- 2019
- [j46]Grace Li Zhang, Bing Li, Yiyu Shi, Jiang Hu, Ulf Schlichtmann:
EffiTest2: Efficient Delay Test and Prediction for Post-Silicon Clock Skew Configuration Under Process Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 705-718 (2019) - [j45]Mohamed Ibrahim, Krishnendu Chakrabarty, Ulf Schlichtmann:
Synthesis of a Cyberphysical Hybrid Microfluidic Platform for Single-Cell Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(7): 1237-1250 (2019) - [j44]Mohamed Ibrahim, Aditya Sridhar, Krishnendu Chakrabarty, Ulf Schlichtmann:
Synthesis of Reconfigurable Flow-Based Biochips for Scalable Single-Cell Screening. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(12): 2255-2270 (2019) - [c150]Petra R. Kleeberger, Juana Rivera, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
SeRoHAL: generation of selectively robust hardware abstraction layers for efficient protection of mixed-criticality systems. ASP-DAC 2019: 33-38 - [c149]Johanna Baehr, Alessandro Bernardini, Georg Sigl, Ulf Schlichtmann:
Machine learning and structural characteristics for reverse engineering. ASP-DAC 2019: 96-103 - [c148]Xing Huang, Tsung-Yi Ho, Wenzhong Guo, Bing Li, Ulf Schlichtmann:
MiniControl: Synthesis of Continuous-Flow Microfluidics with Strictly Constrained Control Ports. DAC 2019: 145 - [c147]Michael Schwarz, Raphael Stahl, Daniel Müller-Gritschneder, Ulf Schlichtmann, Dominik Stoffel, Wolfgang Kunz:
ACCESS: HW/SW Co-Equivalence Checking for Firmware Optimization. DAC 2019: 187 - [c146]Eric Cheng, Daniel Mueller-Gritschneder, Jacob A. Abraham, Pradip Bose, Alper Buyuktosunoglu, Deming Chen, Hyungmin Cho, Yanjing Li, Uzair Sharif, Kevin Skadron, Mircea Stan, Ulf Schlichtmann, Subhasish Mitra:
Cross-Layer Resilience: Challenges, Insights, and the Road Ahead. DAC 2019: 198 - [c145]Tim Fritzmann, Uzair Sharif, Daniel Müller-Gritschneder, Cezar Reinbrecht, Ulf Schlichtmann, Johanna Sepúlveda:
Towards Reliable and Secure Post-Quantum Co-Processors based on RISC-V. DATE 2019: 1148-1153 - [c144]Alexandra Listl, Daniel Mueller-Gritschneder, Ulf Schlichtmann, Sani R. Nassif:
SRAM Design Exploration with Integrated Application-Aware Aging Analysis. DATE 2019: 1249-1252 - [c143]Zhisheng Chen, Xing Huang, Wenzhong Guo, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann:
Physical Synthesis of Flow-Based Microfluidic Biochips Considering Distributed Channel Storage. DATE 2019: 1525-1530 - [c142]Yu-Huei Lin, Tsung-Yi Ho, Bing Li, Ulf Schlichtmann:
Block-Flushing: A Block-based Washing Algorithm for Programmable Microfluidic Devices. DATE 2019: 1531-1536 - [c141]Alessandro Bernardini, Chunfeng Liu, Bing Li, Ulf Schlichtmann:
Fault Localization in Programmable Microfluidic Devices. DATE 2019: 1607-1610 - [c140]Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann:
Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing. DATE 2019: 1751-1756 - [c139]Mengchu Li, Tsun-Ming Tseng, Yanlu Ma, Tsung-Yi Ho, Ulf Schlichtmann:
VOM: Flow-Path Validation and Control-Sequence Optimization for Multilayered Continuous-Flow Microfluidic Biochips. ICCAD 2019: 1-8 - [c138]Ulf Schlichtmann, Sabya Das, Ing-Chao Lin, Mark Po-Hung Lin:
Overview of 2019 CAD Contest at ICCAD. ICCAD 2019: 1-2 - [c137]Tsun-Ming Tseng, Mengchu Li, Yushen Zhang, Tsung-Yi Ho, Ulf Schlichtmann:
Cloud Columba: Accessible Design Automation Platform for Production and Inspiration: Invited Paper. ICCAD 2019: 1-6 - [c136]Tsun-Ming Tseng, Alexandre Truppel, Mengchu Li, Mahdi Nikdast, Ulf Schlichtmann:
Wavelength-Routed Optical NoCs: Design and EDA - State of the Art and Future Directions: Invited Paper. ICCAD 2019: 1-6 - [c135]Alexandre Truppel, Tsun-Ming Tseng, Davide Bertozzi, José Carlos Alves, Ulf Schlichtmann:
PSION: Combining Logical Topology and Physical Layout Optimization for Wavelength-Routed ONoCs. ISPD 2019: 49-56 - [c134]Xu Liu, Alessandro Bernardini, Ulf Schlichtmann, Xing Zhou:
A Compact Model of Negative Bias Temperature Instability Suitable for Gate-Level Circuit Simulation. ISQED 2019: 76-80 - [c133]Alexandra Listl, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
MAGIC: A Wear-leveling Circuitry to Mitigate Aging Effects in Sense Amplifiers of SRAMs. NEWCAS 2019: 1-4 - [c132]Rafael Stahl, Zhuoran Zhao, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices. SAMOS 2019: 77-90 - [i22]Krishnendu Chakrabarty, Tsung-Yi Ho, Hai Li, Ulf Schlichtmann:
Emerging Hardware Techniques and EDA Methodologies for Neuromorphic Computing (Dagstuhl Seminar 19152). Dagstuhl Reports 9(4): 43-58 (2019) - 2018
- [j43]Bing Li, Masanori Hashimoto, Ulf Schlichtmann:
From Process Variations to Reliability: A Survey of Timing of Digital Circuits in the Nanometer Era. IPSJ Trans. Syst. LSI Des. Methodol. 11 (2018) - [j42]Alessandro Bernardini, Chunfeng Liu, Bing Li, Ulf Schlichtmann:
Efficient spanning-tree-based test pattern generation for Programmable Microfluidic Devices. Microelectron. J. 79: 38-45 (2018) - [j41]Grace Li Zhang, Bing Li, Jinglan Liu, Yiyu Shi, Ulf Schlichtmann:
Design-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(2): 392-405 (2018) - [j40]Tsun-Ming Tseng, Mengchu Li, Daniel Nestor Freitas, Travis McAuley, Bing Li, Tsung-Yi Ho, Ismail Emre Araci, Ulf Schlichtmann:
Columba 2.0: A Co-Layout Synthesis Tool for Continuous-Flow Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1588-1601 (2018) - [j39]Petra R. Maier, Veit B. Kleeberger, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Fault Injection for Test-Driven Development of Robust SoC Firmware. ACM Trans. Embed. Comput. Syst. 17(1): 19:1-19:26 (2018) - [j38]Munish Jassi, Yong Hu, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Graph-Grammar-Based IP-Integration (GRIP) - An EDA Tool for Software-Defined SoCs. ACM Trans. Design Autom. Electr. Syst. 23(3): 40:1-40:26 (2018) - [j37]