Design, Automation and Test in Europe Conference

DATE

CORE rank

CORE rank (raw)

Fields of research

Computer Systems Engineering · Software Engineering

Papers indexed

9,217

1995–2026

Best Software Engineering conferences Best Computer Systems Engineering conferences

Papers per year

1995445 peak2026

Most published authors

DATE papers

9,217 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2020	Making the Relationship between Uncertainty Estimation and Safety Less Uncertain.	Vincent Aravantinos, Peter Schlicht
2020	PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment.	Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan
2020	Nano-Crossbar based Computing: Lessons Learned and Future Directions.	Mustafa Altun, Ismail Cevik, Ahmet Can Erten, Osman Eksik, Mircea Stan, Csaba Andras Moritz
2020	Realizing Quantum Algorithms on Real Quantum Computing Devices.	Carmen G. Almudver, Lingling Lao, Robert Wille, Gian Giacomo Guerreschi
2020	On the Performance of Non-Profiled Differential Deep Learning Attacks against an AES Encryption Algorithm Protected using a Correlated Noise Generation based Hiding Countermeasure.	Amir Alipour, Athanasios Papadimitriou, Vincent Beroulle, Ehsan Aerabi, David Hly
2020	On the Task Mapping and Scheduling for DAG-based Embedded Vision Applications on Heterogeneous Multi/Many-core Architectures.	Stefano Aldegheri, Nicola Bombieri, Hiren D. Patel
2020	Runtime Accuracy-Configurable Approximate Hardware Synthesis Using Logic Gating and Relaxation.	Tanfer Alan, Andreas Gerstlauer, Jrg Henkel
2020	Accelerating Quantum Approximate Optimization Algorithm using Machine Learning.	Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh
2020	Deeper Weight Pruning without Accuracy Loss in Deep Neural Networks.	Byungmin Ahn, Taewhan Kim
2020	Minimizing Execution Duration in the Presence of Learning-Enabled Components.	Kunal Agrawal, Alan Burns, Abhishek Singh, Sanjoy K. Baruah
2020	Design-flow Methodology for Secure Group Anonymous Authentication.	Rashmi S. Agrawal, Lake Bu, Eliakin Del Rosario, Michel A. Kinsy
2020	Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots.	Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg
2020	Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations.	Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng
2020	Using Programmable Delay Monitors for Wear-Out and Early Life Failure Prediction.	Chang Liu, Eric Schneider, Hans-Joachim Wunderlich
2020	CNT-Cache: an Energy-Efficient Carbon Nanotube Cache with Adaptive Encoding.	Dawen Xu, Kexin Chu, Cheng Liu, Ying Wang, Lei Zhang, Huawei Li
2020	LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.	Behzad Salami, Konstantinos Parasyris, Adrin Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Ral de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jimnez, Carlos lvarez, Seyed Saber Nabavi Larimi, Sergi Madonar, Miquel Perics, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, Ren Griessl, Lennart Tigges, Kevin Mika, A. Hffmeier, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Gttel, Pascal Felber
2020	Emerging Neural Workloads and Their Impact on Hardware.	David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin
2020	Computing the full quotient in bi-decomposition by approximation.	Anna Bernasconi, Valentina Ciriani, Jordi Cortadella, Tiziano Villa
2019	Matrix-Vector vs. Matrix-Matrix Multiplication: Potential in DD-based Simulation of Quantum Computations.	Alwin Zulehner, Robert Wille
2019	Accuracy and Compactness in Decision Diagrams for Quantum Computation.	Alwin Zulehner, Philipp Niemann, Rolf Drechsler, Robert Wille
2019	Learn-to-Scale: Parallelizing Deep Learning Inference on Chip Multiprocessor Architecture.	Kaiwei Zou, Ying Wang, Huawei Li, Xiaowei Li
2019	Nubolic Simulation of AMS Systems with Data Flow and Discrete Event Models.	Carna Zivkovic, Christoph Grimm
2019	A Mixed-Height Standard Cell Placement Flow for Digital Circuit Blocks	Yi-Cheng Zhao, Yu-Chieh Lin, Ting-Chi Wang, Ting-Hsiung Wang, Yun-Ru Wu, Hsin-Chang Lin, Shu-Yi Kao
2019	Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis.	Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang
2019	Memory Trojan Attack on Neural Network Accelerators.	Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie

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