![]() This is SPATEM! A Spatial-Temporal Optimization Framework for Efficient Inference on ReRAM-based CNN Accelerator.Transactions on Embedded Computing Systems 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.IEEE Transactions on Circuits and Systems I: Regular Papers Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen and Hussam Amrouch ![]() Reliable Binarized Neural Networks on Unreliable Beyond von-Neumann Architecture.Our project aims to enable the effectiveness of one-memory architectures by performing design-space exploration in hardware and software designs, and by integrating analytical as well as optimized resource management in operating systems. Our project intends to provide the fundamental cornerstone of one-memory architectures that can be used to enable normally-off computing and improve battery-driven embedded systems. The applicant groups are domain experts in hardware-software codesign, embedded systems, non-volatile memories, power-efficient designs, and real-time systems. The project is coupled by two principle investigators (PI) from TU Dortmund and KIT in Germany and three PIs from Academia Sinica, National Taiwan University, and Chang Gung University in Taiwan. In this project, we consider the visionary embedded system architecture of using NVMs to replace DRAM, i.e., NVM is used as both main memory and storage (called one-memory architecture). However, most of the existing research results and system designs still consider NVM devices as additional memory or storage. The recent development of NVMs has led to a promising future for building extra low-power computing systems when a NVM device is used as the media of both main memory and storage at the same time. Different forms of non-volatile memories (NVMs) have been introduced in the past decades.
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