Plublications of Christian Hakert
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
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Location & approach
The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is "Dortmund-Eichlinghofen" (closer to Campus Süd), and from B 1 / A 40 "Dortmund-Dorstfeld" (closer to Campus Nord). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dortmund.
To get from Campus Nord to Campus Süd by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at Campus Nord and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.
TU Dortmund University has its own train station ("Dortmund Universität"). From there, suburban trains (S-Bahn) leave for Dortmund main station ("Dortmund Hauptbahnhof") and Düsseldorf main station via the "Düsseldorf Airport Train Station" (take S-Bahn number 1, which leaves every 20 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.
You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station "Stadtgarten", usually lines U41, U45, U 47 and U49. At "Stadtgarten" you switch trains and get on line U42 towards "Hombruch". Look out for the Station "An der Palmweide". From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop "Dortmund Kampstraße". From there, take U43 or U44 to the stop "Dortmund Wittener Straße". Switch to bus line 447 and get off at "Dortmund Universität S".
The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.
The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on Campus Nord. One ("Dortmund Universität S") is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the "Technologiepark" and (via Campus Süd) Eichlinghofen. The other station is located at the dining hall at Campus Nord and offers a direct connection to Campus Süd every five minutes.
The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".
Site Map of TU Dortmund University (Second Page in English).