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Home DAES Staff M.Sc. Christian Hakert Publikationen

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Publications of Christian Hakert

2021
Christian Hakert, Asif-Ali Khan, Kuan-Hsun Chen, Fazal, Jeronimo Castrillon and Jian-Jia Chen.
BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory.
In 58th ACM/IEEE Design Automation Conference (DAC), accepted
2021
[BibTeX][Abstract]
Hsiang-Yun Cheng, Chun-Feng Wu, Christian Hakert, Kuan-Hsun Chen, Yuan-Hao Chang, Jian-Jia Chen, Chia-Lin Yang and Tei-Wei Kuo.
Future Computing Platform Design: A Cross-Layer Design Approach.
In Design, Automation and Test in Europe Conference (DATE)
2021
[BibTeX][PDF][Abstract]
Jian-Jia Chen and Christian Hakert.
Tutorial for Full System Simulations of Non-Volatile Main Memories.
In Design, Automation and Test in Europe Conference
2021
[BibTeX][Link]
Christian Hakert and Jian-Jia Chen.
[Demo] Tutorial for Full System Simulations of Non-Volatile Main Memories.
In Design, Automation and Test in Europe Conference
2021
[BibTeX][Link]
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler and Mikail Yayla.
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.
In Design, Automation and Test in Europe Conference (DATE), accepted
2021, Best Paper Award Candidate
[BibTeX][PDF][Abstract]
2020
Yunfeng Huang, Fang-Jing Wu, Christian Hakert, Georg Brüggen, Kuan-Hsun Chen, Jian-Jia Chen, Patrick Böcker, Petr Chernikov, Luis Cruz, Zeyi Duan, Ahmed Gheith, Anand Gopalan Yantao Gong, Karthik Prakash, Ammar Tauqir and Yue Wang.
Demo Abstract: Perception vs. Reality - Never Believe in What You See.
In 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Virtual Conference, 2020
[BibTeX][PDF][Abstract]
Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg von der Brüggen, Sebastian Bloemeke and Jian-Jia Chen.
Software-Based Memory Analysis Environments for In-Memory Wear-Leveling.
In 25th Asia and South Pacific Design Automation Conference ASP-DAC 2020, Invited Paper
Beijing, China, 2020
[BibTeX][PDF][Abstract]
Christian Hakert, Kuan-Hsun Chen, Simon Kuenzer, Sharan Santhanam, Shuo-Han Chen, Yuan-Hao Chang, Felipe Huici and Jian-Jia Chen.
Split’n Trace NVM: Leveraging Library OSes for Semantic Memory Tracing.
In 9th Non-Volatile Memory Systems and Applications Symposium (NVMSA)
Virtual Conference, 2020
[BibTeX][PDF][Abstract]
Christian Hakert, Kuan-Hsun Chen, Paul R. Genssler, Georg Brüggen, Lars Bauer, Hussam Amrouch, Jian-Jia Chen and Jörg Henkel.
SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory.
CoRR abs/2004.03244
2020
[BibTeX][Link][Abstract]
Christian Hakert, Kuan-Hsun Chen and Jian-Jia Chen.
Can Wear-Aware Memory Allocation be Intelligent?.
In 2020 ACM/IEEE Workshop on Machine Learning for CAD (MLCAD ’20), November 16–20, 2020, Virtual Event, Ice- land
2020
[BibTeX][PDF][Abstract]
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler and Mikail Yayla.
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks.
CoRR abs/2002.00909
2020
[BibTeX][Link][Abstract]
2019
Christian Hakert.
Memory Access Analysis and Endurance Leveling Approaches for Non-volatile Working Memory Systems.
Master's Thesis, 2019
[BibTeX][Abstract]
Christian Hakert, Mikail Yayla, Kuan-Hsun Chen, Georg von der Brüggen, Jian-Jia Chen, Sebastian Buschjäger, Katharina Morik, Paul R. Genssler, Lars Bauer, Hussam Amrouch and Jörg Henkel.
Stack Usage Analysis for Efficient Wear Leveling in Non-Volatile Main Memory Systems.
In 1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD)
Alberta, Canada, 2019
[BibTeX][PDF][Abstract]