Artículos de revistas sobre el tema "In-memory-computing (IMC)"
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Song, Soonbum y Youngmin Kim. "Novel In-Memory Computing Adder Using 8+T SRAM". Electronics 11, n.º 6 (16 de marzo de 2022): 929. http://dx.doi.org/10.3390/electronics11060929.
Texto completoMannocci, P., M. Farronato, N. Lepri, L. Cattaneo, A. Glukhov, Z. Sun y D. Ielmini. "In-memory computing with emerging memory devices: Status and outlook". APL Machine Learning 1, n.º 1 (1 de marzo de 2023): 010902. http://dx.doi.org/10.1063/5.0136403.
Texto completoSun, Zhaohui, Yang Feng, Peng Guo, Zheng Dong, Junyu Zhang, Jing Liu, Xuepeng Zhan, Jixuan Wu y Jiezhi Chen. "Flash-based in-memory computing for stochastic computing in image edge detection". Journal of Semiconductors 44, n.º 5 (1 de mayo de 2023): 054101. http://dx.doi.org/10.1088/1674-4926/44/5/054101.
Texto completoPedretti, Giacomo y Daniele Ielmini. "In-Memory Computing with Resistive Memory Circuits: Status and Outlook". Electronics 10, n.º 9 (30 de abril de 2021): 1063. http://dx.doi.org/10.3390/electronics10091063.
Texto completoBansla, Neetu y Rajneesh . "Future ERP: In-Memory Computing (IMC)Technology Infusion". Journal of Information Technology and Sciences 6, n.º 3 (26 de octubre de 2020): 17–21. http://dx.doi.org/10.46610/joits.2020.v06i03.003.
Texto completoKim, Manho, Sung-Ho Kim, Hyuk-Jae Lee y Chae-Eun Rhee. "Case Study on Integrated Architecture for In-Memory and In-Storage Computing". Electronics 10, n.º 15 (21 de julio de 2021): 1750. http://dx.doi.org/10.3390/electronics10151750.
Texto completoZhang, Jin, Zhiting Lin, Xiulong Wu, Chunyu Peng, Wenjuan Lu, Qiang Zhao y Junning Chen. "An 8T SRAM Array with Configurable Word Lines for In-Memory Computing Operation". Electronics 10, n.º 3 (27 de enero de 2021): 300. http://dx.doi.org/10.3390/electronics10030300.
Texto completoXue, Wang, Liu, Lv, Wang y Zeng. "An RISC-V Processor with Area-Efficient Memristor-Based In-Memory Computing for Hash Algorithm in Blockchain Applications". Micromachines 10, n.º 8 (16 de agosto de 2019): 541. http://dx.doi.org/10.3390/mi10080541.
Texto completoKrishnan, Gokul, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-Sun Seo, Umit Y. Ogras y Yu Cao. "SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks". ACM Transactions on Embedded Computing Systems 20, n.º 5s (31 de octubre de 2021): 1–24. http://dx.doi.org/10.1145/3476999.
Texto completoKiran Cherupally, Sai, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Injune Yeo, Shimeng Yu, Deliang Fan y Jae-Sun Seo. "Improving the accuracy and robustness of RRAM-based in-memory computing against RRAM hardware noise and adversarial attacks". Semiconductor Science and Technology 37, n.º 3 (13 de enero de 2022): 034001. http://dx.doi.org/10.1088/1361-6641/ac461f.
Texto completoBärenfänger, Rieke, Boris Otto y Hubert Österle. "Business value of in-memory technology – multiple-case study insights". Industrial Management & Data Systems 114, n.º 9 (7 de octubre de 2014): 1396–414. http://dx.doi.org/10.1108/imds-07-2014-0212.
Texto completoMambu, Kévin, Henri-Pierre Charles, Maha Kooli y Julie Dumas. "Towards Integration of a Dedicated Memory Controller and Its Instruction Set to Improve Performance of Systems Containing Computational SRAM". Journal of Low Power Electronics and Applications 12, n.º 1 (16 de marzo de 2022): 18. http://dx.doi.org/10.3390/jlpea12010018.
Texto completoLin, Huai, Xi Luo, Long Liu, Di Wang, Xuefeng Zhao, Ziwei Wang, Xiaoyong Xue, Feng Zhang y Guozhong Xing. "All-Electrical Control of Compact SOT-MRAM: Toward Highly Efficient and Reliable Non-Volatile In-Memory Computing". Micromachines 13, n.º 2 (18 de febrero de 2022): 319. http://dx.doi.org/10.3390/mi13020319.
Texto completoRajput, Anil Kumar y Manisha Pattanaik. "A Nonvolatile 7T2M SRAM Cell with Improved Noise Margin for Energy Efficient In Memory Boolean Computations". International Journal of Engineering Research in Electronics and Communication Engineering 9, n.º 1 (31 de enero de 2022): 1–8. http://dx.doi.org/10.36647/ijerece/09.01.a001.
Texto completoKrishnan, Gokul, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Umit Y. Ogras y Yu Cao. "Impact of On-chip Interconnect on In-memory Acceleration of Deep Neural Networks". ACM Journal on Emerging Technologies in Computing Systems 18, n.º 2 (30 de abril de 2022): 1–22. http://dx.doi.org/10.1145/3460233.
Texto completoNanda, Ipseeta y Rajesh De. "REVIEW OF CLOUD COMPUTING CRYPTOGRAPHY". Information Management And Computer Science 5, n.º 2 (2022): 31–33. http://dx.doi.org/10.26480/imcs.02.2022.31.33.
Texto completoVerma, Anil, Divya Anand, Aman Singh, Rishika Vij, Abdullah Alharbi, Majid Alshammari y Arturo Ortega Mansilla. "IoT-Inspired Reliable Irregularity-Detection Framework for Education 4.0 and Industry 4.0". Electronics 11, n.º 9 (29 de abril de 2022): 1436. http://dx.doi.org/10.3390/electronics11091436.
Texto completoKrasnov, Mikhail Mikhailovich y Olga Borisovna Feodoritova. "Using the functional programming library for solving numerical problems on graphics accelerators with CUDA technology". Proceedings of the Institute for System Programming of the RAS 33, n.º 5 (2021): 167–80. http://dx.doi.org/10.15514/ispras-2021-33(5)-10.
Texto completoBackx, Rosa, Caroline Skirrow, Pasquale Dente, Jennifer H. Barnett y Francesca K. Cormack. "Comparing Web-Based and Lab-Based Cognitive Assessment Using the Cambridge Neuropsychological Test Automated Battery: A Within-Subjects Counterbalanced Study". Journal of Medical Internet Research 22, n.º 8 (4 de agosto de 2020): e16792. http://dx.doi.org/10.2196/16792.
Texto completoAn, SangWoo y Seog Chung Seo. "Highly Efficient Implementation of Block Ciphers on Graphic Processing Units for Massively Large Data". Applied Sciences 10, n.º 11 (27 de mayo de 2020): 3711. http://dx.doi.org/10.3390/app10113711.
Texto completoKazemi, Arman, Franz Müller, Mohammad Mehdi Sharifi, Hamza Errahmouni, Gerald Gerlach, Thomas Kämpfe, Mohsen Imani, Xiaobo Sharon Hu y Michael Niemier. "Achieving software-equivalent accuracy for hyperdimensional computing with ferroelectric-based in-memory computing". Scientific Reports 12, n.º 1 (10 de noviembre de 2022). http://dx.doi.org/10.1038/s41598-022-23116-w.
Texto completoDazzi, Martino, Abu Sebastian, Luca Benini y Evangelos Eleftheriou. "Accelerating Inference of Convolutional Neural Networks Using In-memory Computing". Frontiers in Computational Neuroscience 15 (3 de agosto de 2021). http://dx.doi.org/10.3389/fncom.2021.674154.
Texto completoFan, Anjunyi, Yihan Fu, Yaoyu Tao, Zhonghua Jin, Haiyue Han, Huiyu Liu, Yaojun Zhang, Bonan Yan, Yuchao Yang y Ru Huang. "Hadamard product-based in-memory computing design for floating point neural network training". Neuromorphic Computing and Engineering, 9 de febrero de 2023. http://dx.doi.org/10.1088/2634-4386/acbab9.
Texto completoChang, Chih-Cheng, Shao-Tzu Li, Tong-Lin Pan, Chia-Ming Tsai, I.-Ting Wang, Tian-Sheuan Chang y Tuo-Hung Hou. "Device quantization policy in variation-aware in-memory computing design". Scientific Reports 12, n.º 1 (7 de enero de 2022). http://dx.doi.org/10.1038/s41598-021-04159-x.
Texto completoLalchhandama, F., Mukesh Sahani, Vompolu Mohan Srinivas, Indranil Sengupta y Kamalika Datta. "In-Memory Computing on Resistive RAM Systems Using Majority Operation". Journal of Circuits, Systems and Computers 31, n.º 04 (29 de octubre de 2021). http://dx.doi.org/10.1142/s0218126622500712.
Texto completoZeng, Junwei, Nuo Xu, Yabo Chen, Chenglong Huang, Zhiwei Li y Liang Fang. "AIMCU-MESO: An In-Memory Computing Unit Constructed by MESO Device". ACM Transactions on Design Automation of Electronic Systems, 26 de mayo de 2022. http://dx.doi.org/10.1145/3539575.
Texto completoBaroni, Andrea, Artem Glukhov, Eduardo Pérez, Christian Wenger, Enrico Calore, Sebastiano Fabio Schifano, Piero Olivo, Daniele Ielmini y Cristian Zambelli. "An energy-efficient in-memory computing architecture for survival data analysis based on resistive switching memories". Frontiers in Neuroscience 16 (9 de agosto de 2022). http://dx.doi.org/10.3389/fnins.2022.932270.
Texto completoKingra, Sandeep Kaur, Vivek Parmar y Manan Suri. "In-Memory Computation Based Mapping of Keccak-f Hash Function". Frontiers in Nanotechnology 4 (16 de marzo de 2022). http://dx.doi.org/10.3389/fnano.2022.841756.
Texto completoBahnasawy, Nirmeen A., Gamal M. Attiya, Mervat Mosa y Magdy A. Koutb. "A MODIFIED A* ALGORITHM FOR ALLOCATING TASK IN HETEROGENEOUS DISTIRBUTED COMPUTING SYSTEMS". International Journal of Computing, 1 de agosto de 2014, 50–57. http://dx.doi.org/10.47839/ijc.8.2.666.
Texto completo"A Decentralized Accountability Framework For Enhancing Secure Data Sharing Through Icm In Cloud". International Journal of Innovative Technology and Exploring Engineering 8, n.º 11 (10 de septiembre de 2019): 3446–52. http://dx.doi.org/10.35940/ijitee.k2556.0981119.
Texto completo"A Decentralized Accountability Framework for Enhancing Secure Data Sharing Through ICM in Cloud". VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE 8, n.º 10 (10 de agosto de 2019): 1505–11. http://dx.doi.org/10.35940/ijitee.a1026.0881019.
Texto completoKosmatopoulos, C. y N. Tsagourias. "DEVELOPMENT OF A STAND ALONE MONITORING SYSTEM (S.A.MO.S.)". International Journal of Computing, 1 de agosto de 2014, 59–62. http://dx.doi.org/10.47839/ijc.1.2.114.
Texto completoXiong, Fu-Rui, Zhi-Chang Qin, Qian Ding, Carlos Hernández, Jesús Fernandez, Oliver Schütze y Jian-Qiao Sun. "Parallel Cell Mapping Method for Global Analysis of High-Dimensional Nonlinear Dynamical Systems1". Journal of Applied Mechanics 82, n.º 11 (10 de agosto de 2015). http://dx.doi.org/10.1115/1.4031149.
Texto completoWu, Chuangwen, Xiangqing Zhou, Guang Zeng, Chen Sun, Peizhi Li, Jiaxu Li, Shiwei Chen, Guang Yang y Shiheng Liang. "Field-free spin-orbit torque switching in interlayer exchange coupled Co/Ta/CoTb". Journal of Physics: Condensed Matter, 5 de julio de 2023. http://dx.doi.org/10.1088/1361-648x/ace4b1.
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