- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA) - Dubrovnik, Croatia (2019.9.23-2019.9.25)] 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA) - Acknowledgements
摘要： Phase-change materials and devices have received much attention as a potential route to the realization of various types of unconventional computing paradigms. In this letter, we present non-von Neumann arithmetic processing that exploits the accumulative property of phase-change memory (PCM) cells. Using PCM cells with integrated FET access devices, we perform a detailed study of accumulation-based computation. We also demonstrate efficient factorization using PCM cells, a technique that could pave the way for massively parallelized computations.
关键词： neuromorphic computing,Phase-change materials,non-von Neumann,arithmetic computing
更新于2025-09-23 15:21:01
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[IEEE 2019 IEEE Conference on Antenna Measurements & Applications (CAMA) - Kuta, Bali, Indonesia (2019.10.23-2019.10.25)] 2019 IEEE Conference on Antenna Measurements & Applications (CAMA) - 60GHz Substrate Integrated Waveguide Balun
摘要： Phase-change materials and devices have received much attention as a potential route to the realization of various types of unconventional computing paradigms. In this letter, we present non-von Neumann arithmetic processing that exploits the accumulative property of phase-change memory (PCM) cells. Using PCM cells with integrated FET access devices, we perform a detailed study of accumulation-based computation. We also demonstrate efficient factorization using PCM cells, a technique that could pave the way for massively parallelized computations.
关键词： neuromorphic computing,non-von Neumann,Phase-change materials,arithmetic computing
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE SENSORS - Montreal, QC, Canada (2019.10.27-2019.10.30)] 2019 IEEE SENSORS - A 2x2 Pixel Array Camera based on a Backside Illuminated Ge-on-Si Photodetector
摘要： Phase-change materials and devices have received much attention as a potential route to the realization of various types of unconventional computing paradigms. In this letter, we present non-von Neumann arithmetic processing that exploits the accumulative property of phase-change memory (PCM) cells. Using PCM cells with integrated FET access devices, we perform a detailed study of accumulation-based computation. We also demonstrate efficient factorization using PCM cells, a technique that could pave the way for massively parallelized computations.
关键词： neuromorphic computing,non-von Neumann,Phase-change materials,arithmetic computing
更新于2025-09-23 15:19:57
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[IEEE 2019 Workshop on Recent Advances in Photonics (WRAP) - Guwahati, India (2019.12.13-2019.12.14)] 2019 Workshop on Recent Advances in Photonics (WRAP) - Self-Focusing of Quadruple Gaussian Laser Beam in Relativistic Plasma using Moment Theory Approach
摘要： Phase-change materials and devices have received much attention as a potential route to the realization of various types of unconventional computing paradigms. In this letter, we present non-von Neumann arithmetic processing that exploits the accumulative property of phase-change memory (PCM) cells. Using PCM cells with integrated FET access devices, we perform a detailed study of accumulation-based computation. We also demonstrate efficient factorization using PCM cells, a technique that could pave the way for massively parallelized computations.
关键词： neuromorphic computing,Phase-change materials,non-von Neumann,arithmetic computing
更新于2025-09-19 17:13:59