Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alptekin Vardar"'
Autor:
Xunzhao Yin, Yu Qian, Alptekin Vardar, Marcel Günther, Franz Müller, Nellie Laleni, Zijian Zhao, Zhouhang Jiang, Zhiguo Shi, Yiyu Shi, Xiao Gong, Cheng Zhuo, Thomas Kämpfe, Kai Ni
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Computationally hard combinatorial optimization problems (COPs) are ubiquitous in many applications. Various digital annealers, dynamical Ising machines, and quantum/photonic systems have been developed for solving COPs, but they still suffe
Externí odkaz:
https://doaj.org/article/d5eaa87e983142a3973c7fba333c9484
Autor:
Yixin Xu, Yi Xiao, Zijian Zhao, Franz Müller, Alptekin Vardar, Xiao Gong, Sumitha George, Thomas Kämpfe, Vijaykrishnan Narayanan, Kai Ni
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Abstract Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties of near-zero leakage power consumption, high density and non-volatility. However, NVMs also face critical securit
Externí odkaz:
https://doaj.org/article/9d4c55d86d1d4de9a07102487e87dce2
Autor:
Vivek Parmar, Franz Müller, Jing-Hua Hsuen, Sandeep Kaur Kingra, Nellie Laleni, Yannick Raffel, Maximilian Lederer, Alptekin Vardar, Konrad Seidel, Taha Soliman, Tobias Kirchner, Tarek Ali, Stefan Dünkel, Sven Beyer, Tian-Li Wu, Sourav De, Manan Suri, Thomas Kämpfe
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 6, Pp n/a-n/a (2023)
Harnessing multibit precision in nonvolatile memory (NVM)‐based synaptic core can accelerate multiply and accumulate (MAC) operation of deep neural network (DNN). However, NVM‐based synaptic cores suffer from the trade‐off between bit density a
Externí odkaz:
https://doaj.org/article/7056e755c1db4aa49054c6baa0945bda
Autor:
Sourav De, Franz Muller, Sunanda Thunder, Sukhrob Abdulazhanov, Nellie Laleni, Maximilian Lederer, Tarek Ali, Yannick Raffel, Stefan Dunkel, Shaown Mojumder, Alptekin Vardar, Sven Beyer, Konrad Seidel, Thomas Kampfe
Publikováno v:
IEEE Transactions on Electron Devices. 69:7194-7198
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a95c1528c446a6c9b504c8b02b24867
https://doi.org/10.1109/ted.2022.3216973
https://doi.org/10.1109/ted.2022.3216973
Autor:
Alptekin Vardar, Li Zhang, Susu Hu, Saiyam Bherulal Jain, Shaown Mojumder, Nellie Laleni, Ashish Shrivastava, Sourav De, Thomas Kämpfe
Publikováno v:
2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3d7f8384709e1c59145dfef96988c4f
https://doi.org/10.1109/iscmi56532.2022.10068464
https://doi.org/10.1109/iscmi56532.2022.10068464
Publikováno v:
ECCTD
This paper presents a time-delay system which originally has chaotic behavior, yet lost that dynamic due to finite quantization levels of state variable representation. One method to overcome this destructive effect of digitalization is engaging a ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96ec2f7437563208554ef24f13cf508d
https://doi.org/10.1109/ecctd.2017.8093272
https://doi.org/10.1109/ecctd.2017.8093272
Publikováno v:
ISCAS
Chaos-based RNGs have become an alternative method for random number generation (RNG) which is the vital part of the security hardware. When full-digital implementations of a chaotic system are considered, a periodic limit cycle with a large period a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb8a844cde410fca8f7e8b8f8e3e59d8
https://doi.org/10.1109/iscas.2017.8050862
https://doi.org/10.1109/iscas.2017.8050862
Autor:
Sourav De, Franz Muller, Nellie Laleni, Maximilian Lederer, Yannick Raffel, Shaown Mojumder, Alptekin Vardar, Sukhrob Abdulazhanov, Tarek Ali, Stefan Dunkel, Sven Beyer, Konrad Seidel, Thomas Kampfe
Publikováno v:
IEEE Electron Device Letters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db6ea92c37b6ba5a4937019d28f149db