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OCTO+: Optimized Checkpointing of B+ Trees for Non-Volatile Main Memory Wear-Leveling
Steady deployment of byte addressable non-volatile memories (NVMs) as main memory in server class computers yields challenges on …
Christian Hakert, Roland Kühn, Kuan-Hsun Chen, Jian-Jia Chen, Jens Teubner
DOI
Timing analysis of asynchronized distributed cause-effect chains
Real-time systems require the formal guarantee of timing-constraints, not only for the individual tasks but also for the …
Mario Günzel, Kuan-Hsun Chen, Niklas Ueter, Georg Von Der Brüggen, Marco Dürr, Jian-Jia Chen
DOI
Supporting multiprocessor resource synchronization protocols in RTEMS
When considering recurrent tasks in real-time systems, concurrent accesses to shared resources, can cause race conditions or data …
Junjie Shi, Jan Duy Thien Pham, Malte Münch, Jan Viktor Hafemeister, Jian-Jia Chen, Kuan-Hsun Chen
DOI
Bit Error Tolerance Metrics for Binarized Neural Networks
To reduce the resource demand of neural network (NN) inference systems, it has been proposed to use approximate memory, in which the …
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
DOI
Future Computing Platform Design: A Cross-Layer Design Approach
Future computing platforms are facing a paradigm shift with the emerging resistive memory technologies. First, they offer fast memory …
Hsiang-Yun Cheng, Chun-Feng Wu, Christian Hakert, Kuan-Hsun Chen, Yuan-Hao Chang, Jian-Jia Chen, Chia-Lin Yang, Tei-Wei Kuo
DOI
Margin-maximization in binarized neural networks for optimizing bit error tolerance
To overcome the memory wall in neural network (NN) inference systems, recent studies have proposed to use approximate memory, in which …
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
DOI
Can wear-aware memory allocation be intelligent?
Many non-volatile memories (NVM) suffer from a severe reduced cell endurance and therefore require wear-leveling. Heap memory, as one …
Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen
DOI
Using a set of triangle inequalities to accelerate k-means clustering
The k-means clustering is a well-known problem in data mining and machine learning. However, the de facto standard, i.e., Lloyd’s …
Qiao Yu, Kuan-Hsun Chen, Jian-Jia Chen
DOI
Demo Abstract: Perception vs. Reality-Never Believe in What You See
The increasing availability of heterogeneous ambient sensing systems challenges the according information processing systems to analyse …
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
DOI
Ns-ftl: Alleviating the uneven bit-level wearing of nvram-based ftl via nand-spin
Non-Volatile random access memory (NVRAM) has been regarded as a promising DRAM alternative with its nonvolatility, near-zero idle …
Wei-Chun Cheng, Shuo-Han Chen, Yuan-Hao Chang, Kuan-Hsun Chen, Jian-Jia Chen, Tseng-Yi Chen, Ming-Chang Yang, Wei-Kuan Shih
DOI