2022

• FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference.
  Christian Hakert, Kuan-Hsun Chen and Jian-Jia Chen.
  Arxiv
  2022
• Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests.
  Christian Hakert, Kuan-Hsun Chen and Jian-Jia Chen.
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  2022
• ROLLED: Racetrack Memory Optimized Linear Layout and Efficient Decomposition of Decision Trees.
  Christian Hakert, Asif Ali Khan, Kuan-Hsun Chen, Fazal Hameed, Jeronimo Castrillon and Jian-Jia Chen.
  IEEE Transactions on Computers
  2022

2021

• Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory.
  Christian Hakert, Kuan-Hsun Chen, Horst Schirmeier, Lars Bauer, Paul R. Genssler, Georg von der Brüggen, Hussam Amrouch, Joerg Henkel and Jian-Jia Chen.
  ACM Transactions on Embedded Computing Systems
  2021
• OCTO+: Optimized Checkpointing of B+Trees for Non-Volatile Main Memory Wear-Leveling.
  Christian Hakert, Roland Kühn, Kuan-Hsun Chen, Jian-Jia Chen and Jens Teubner.
  In The 10th IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA)
  2021
• HEART: Hybrid memory and Energy-Aware Real-Time scheduling for multi-processor systems.
  Mario Guenzel, Christian Hakert, Kuan-Hsun Chen and Jian-Jia Chen.
  In 21th International Conference on Embedded Software, {EMSOFT}
  2021
• BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory.
  Christian Hakert, Asif-Ali Khan, Kuan-Hsun Chen, Fazal, Jeronimo Castrillon and Jian-Jia Chen.
  In 58th ACM/IEEE Design Automation Conference (DAC), accepted
  2021
• Future Computing Platform Design: A Cross-Layer Design Approach.
  Hsiang-Yun Cheng, Chun-Feng Wu, Christian Hakert, Kuan-Hsun Chen, Yuan-Hao Chang, Jian-Jia Chen, Chia-Lin Yang and Tei-Wei Kuo.
  In Design, Automation and Test in Europe Conference (DATE)
  2021
• Tutorial for Full System Simulations of Non-Volatile Main Memories.
  Jian-Jia Chen and Christian Hakert.
  In Design, Automation and Test in Europe Conference
  2021
• [Demo] Tutorial for Full System Simulations of Non-Volatile Main Memories.
  Christian Hakert and Jian-Jia Chen.
  In Design, Automation and Test in Europe Conference
  2021
• Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.
  Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler and Mikail Yayla.
  In Design, Automation and Test in Europe Conference (DATE), accepted
  2021, Best Paper Award Candidate

2020

• Demo Abstract: Perception vs. Reality - Never Believe in What You See.
  Yunfeng Huang, Fang-Jing Wu, Christian Hakert, Georg von der 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.
  In 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
  Virtual Conference, 2020
• Software-Based Memory Analysis Environments for In-Memory Wear-Leveling.
  Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg von der Brüggen, Sebastian Bloemeke and Jian-Jia Chen.
  In 25th Asia and South Pacific Design Automation Conference ASP-DAC 2020, Invited Paper
  Beijing, China, 2020
• Split’n Trace NVM: Leveraging Library OSes for Semantic Memory Tracing.
  Christian Hakert, Kuan-Hsun Chen, Simon Kuenzer, Sharan Santhanam, Shuo-Han Chen, Yuan-Hao Chang, Felipe Huici and Jian-Jia Chen.
  In 9th Non-Volatile Memory Systems and Applications Symposium (NVMSA)
  Virtual Conference, 2020
• SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory.
  Christian Hakert, Kuan-Hsun Chen, Paul R. Genssler, Georg Brüggen, Lars Bauer, Hussam Amrouch, Jian-Jia Chen and Jörg Henkel.
  CoRR abs/2004.03244
  2020
• Can Wear-Aware Memory Allocation be Intelligent?.
  Christian Hakert, Kuan-Hsun Chen and Jian-Jia Chen.
  In 2020 ACM/IEEE Workshop on Machine Learning for CAD (MLCAD ’20), November 16–20, 2020, Virtual Event, Ice- land
  2020
• Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks.
  Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler and Mikail Yayla.
  CoRR abs/2002.00909
  2020

2019

• Memory Access Analysis and Endurance Leveling Approaches for Non-volatile Working Memory Systems.
  Christian Hakert.
  Master's Thesis, 2019
• Stack Usage Analysis for Efficient Wear Leveling in Non-Volatile Main Memory Systems.
  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.
  In 1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD)
  Alberta, Canada, 2019