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Christian Hakert
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Books and Theses
- 2024
- [b1]Christian Hakert:
Software exploitation of traditional interfaces for modern technologies. Technical University of Dortmund, Germany, 2024
Journal Articles
- 2023
- [j6]Lokesh Siddhu, Hassan Nassar, Lars Bauer, Christian Hakert, Nils Hölscher, Jian-Jia Chen, Jörg Henkel:
Swift-CNN: Leveraging PCM Memory's Fast Write Mode to Accelerate CNNs. IEEE Embed. Syst. Lett. 15(4): 234-237 (2023) - [j5]Christian Hakert, Asif Ali Khan, Kuan-Hsun Chen, Fazal Hameed, Jerónimo Castrillón, Jian-Jia Chen:
ROLLED: Racetrack Memory Optimized Linear Layout and Efficient Decomposition of Decision Trees. IEEE Trans. Computers 72(5): 1488-1502 (2023) - [j4]Nils Hölscher, Christian Hakert, Hassan Nassar, Kuan-Hsun Chen, Lars Bauer, Jian-Jia Chen, Jörg Henkel:
Memory Carousel: LLVM-Based Bitwise Wear Leveling for Nonvolatile Main Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2527-2539 (2023) - 2022
- [j3]Christian Hakert, Kuan-Hsun Chen, Horst Schirmeier, Lars Bauer, Paul R. Genssler, Georg von der Brüggen, Hussam Amrouch, Jörg Henkel, Jian-Jia Chen:
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory. ACM Trans. Embed. Comput. Syst. 21(1): 5:1-5:24 (2022) - [j2]Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen:
Efficient Realization of Decision Trees for Real-Time Inference. ACM Trans. Embed. Comput. Syst. 21(6): 68:1-68:26 (2022) - 2021
- [j1]Mario Günzel, Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen:
HEART: Hybrid Memory and Energy-Aware Real-Time Scheduling for Multi-Processor Systems. ACM Trans. Embed. Comput. Syst. 20(5s): 88:1-88:23 (2021)
Conference and Workshop Papers
- 2024
- [c15]Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen:
FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference. DATE 2024: 1-2 - [c14]Jannik Malcher, Daniel Biebert, Kuan-Hsun Chen, Sebastian Buschjäger, Christian Hakert, Jian-Jia Chen:
Language-Based Deployment Optimization for Random Forests (Invited Paper). LCTES 2024: 58-61 - 2023
- [c13]Jörg Henkel, Lokesh Siddhu, Lars Bauer, Jürgen Teich, Stefan Wildermann, Mehdi B. Tahoori, Mahta Mayahinia, Jerónimo Castrillón, Asif Ali Khan, Hamid Farzaneh, João Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng:
Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications. CASES 2023: 11-20 - [c12]Roland Kühn, Daniel Biebert, Christian Hakert, Jian-Jia Chen, Jens Teubner:
Towards Data-Based Cache Optimization of B+-Trees. DaMoN 2023: 63-69 - [c11]Nils Hölscher, Minh Duy Truong, Christian Hakert, Tristan Taylan Seidl, Kuan-Hsun Chen, Jian-Jia Chen:
Rapid NVM Simulation and Analysis on Single Bit Granularity Featuring Gem5 and NVMain. NVMSA 2023: 50-55 - 2022
- [c10]Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen:
Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests. ECML/PKDD (5) 2022: 531-546 - 2021
- [c9]Christian Hakert, Asif Ali Khan, Kuan-Hsun Chen, Fazal Hameed, Jerónimo Castrillón, Jian-Jia Chen:
BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory. DAC 2021: 1111-1116 - [c8]Hsiang-Yun Cheng, Chun-Feng Wu, Christian Hakert, Kuan-Hsun Chen, Yuan-Hao Chang, Jian-Jia Chen, Chia-Lin Yang, Tei-Wei Kuo:
Future Computing Platform Design: A Cross-Layer Design Approach. DATE 2021: 312-317 - [c7]Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. DATE 2021: 673-678 - [c6]Christian Hakert, Roland Kühn, Kuan-Hsun Chen, Jian-Jia Chen, Jens Teubner:
OCTO+: Optimized Checkpointing of B+ Trees for Non-Volatile Main Memory Wear-Leveling. NVMSA 2021: 1-6 - 2020
- [c5]Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg von der Brüggen, Sebastian Blömeke, Jian-Jia Chen:
Software-Based Memory Analysis Environments for In-Memory Wear-Leveling. ASP-DAC 2020: 651-658 - [c4]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, Yantao Gong, Anand Gopalan, Karthik Prakash, Ammar Tauqir, Yue Wang:
Demo Abstract: Perception vs. Reality - Never Believe in What You See. IPSN 2020: 363-364 - [c3]Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen:
Can Wear-Aware Memory Allocation be Intelligent? MLCAD 2020: 83-88 - [c2]Christian Hakert, Kuan-Hsun Chen, Simon Kuenzer, Sharan Santhanam, Shuo-Han Chen, Yuan-Hao Chang, Felipe Huici, Jian-Jia Chen:
Split'n Trace NVM: Leveraging Library OSes for Semantic Memory Tracing. NVMSA 2020: 1-6 - 2019
- [c1]Thomas Lindemann, Patrick Brinkmann, Fadi Dalbah, Christian Hakert, Philipp-Jan Honysz, Daniel Matuszczyk, Nikolas Müller, Alexander Schmulbach, Stefan Petyov Todorinski, Oliver Tüselmann, Shimon Wonsak, Jens Teubner:
MAGPIE: Scalable Data Storage System for Efficient High Volume Data Queries. BTW 2019: 543-546
Informal and Other Publications
- 2024
- [i5]Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen:
Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation. CoRR abs/2404.06846 (2024) - [i4]Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen:
TREE: Tree Regularization for Efficient Execution. CoRR abs/2406.12531 (2024) - 2022
- [i3]Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen:
FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference. CoRR abs/2209.04181 (2022) - 2020
- [i2]Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. CoRR abs/2002.00909 (2020) - [i1]Christian Hakert, Kuan-Hsun Chen, Paul R. Genssler, Georg von der Brüggen, Lars Bauer, Hussam Amrouch, Jian-Jia Chen, Jörg Henkel:
SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory. CoRR abs/2004.03244 (2020)
Coauthor Index
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last updated on 2024-10-07 22:14 CEST by the dblp team
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