Artykuły w czasopismach na temat „Memory disaggregation”
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Aguilera, Marcos K., Emmanuel Amaro, Nadav Amit, Erika Hunhoff, Anil Yelam i Gerd Zellweger. "Memory disaggregation: why now and what are the challenges". ACM SIGOPS Operating Systems Review 57, nr 1 (26.06.2023): 38–46. http://dx.doi.org/10.1145/3606557.3606563.
Pełny tekst źródłaMehra, Pankaj, i Tom Coughlin. "Taming Memory With Disaggregation". Computer 55, nr 9 (wrzesień 2022): 94–98. http://dx.doi.org/10.1109/mc.2022.3187847.
Pełny tekst źródłaWu, Chenyuan, Mohammad Javad Amiri, Jared Asch, Heena Nagda, Qizhen Zhang i Boon Thau Loo. "FlexChain". Proceedings of the VLDB Endowment 16, nr 1 (wrzesień 2022): 23–36. http://dx.doi.org/10.14778/3561261.3561264.
Pełny tekst źródłaAl Maruf, Hasan, i Mosharaf Chowdhury. "Memory Disaggregation: Advances and Open Challenges". ACM SIGOPS Operating Systems Review 57, nr 1 (26.06.2023): 29–37. http://dx.doi.org/10.1145/3606557.3606562.
Pełny tekst źródłaNam, Jaeyoun, Hokeun Cha, ByeongKeon Lee i Beomseok Nam. "Xpass: NUMA-aware Persistent Memory Disaggregation". Journal of KIISE 48, nr 7 (31.07.2021): 735–41. http://dx.doi.org/10.5626/jok.2021.48.7.735.
Pełny tekst źródłaCelov, Dmitrij, i Remigijus Leipus. "Time series aggregation, disaggregation and long memory". Lietuvos matematikos rinkinys 46 (21.09.2023): 255–62. http://dx.doi.org/10.15388/lmr.2006.30723.
Pełny tekst źródłaWang, Zhonghua, Yixing Guo, Kai Lu, Jiguang Wan, Daohui Wang, Ting Yao i Huatao Wu. "Rcmp: Reconstructing RDMA-Based Memory Disaggregation via CXL". ACM Transactions on Architecture and Code Optimization 21, nr 1 (19.01.2024): 1–26. http://dx.doi.org/10.1145/3634916.
Pełny tekst źródłaCelov, D., R. Leipus i A. Philippe. "Time series aggregation, disaggregation, and long memory". Lithuanian Mathematical Journal 47, nr 4 (październik 2007): 379–93. http://dx.doi.org/10.1007/s10986-007-0026-6.
Pełny tekst źródłaZhang, Yingqiang, Chaoyi Ruan, Cheng Li, Xinjun Yang, Wei Cao, Feifei Li, Bo Wang i in. "Towards cost-effective and elastic cloud database deployment via memory disaggregation". Proceedings of the VLDB Endowment 14, nr 10 (czerwiec 2021): 1900–1912. http://dx.doi.org/10.14778/3467861.3467877.
Pełny tekst źródłaWang, Ruihong, Jianguo Wang, Stratos Idreos, M. Tamer Özsu i Walid G. Aref. "The case for distributed shared-memory databases with RDMA-enabled memory disaggregation". Proceedings of the VLDB Endowment 16, nr 1 (wrzesień 2022): 15–22. http://dx.doi.org/10.14778/3561261.3561263.
Pełny tekst źródłaWang, Qing, Youyou Lu i Jiwu Shu. "Building Write-Optimized Tree Indexes on Disaggregated Memory". ACM SIGMOD Record 52, nr 1 (7.06.2023): 45–52. http://dx.doi.org/10.1145/3604437.3604448.
Pełny tekst źródłaLee, Myeung-Hun, i Hyeun-Jun Moon. "Nonintrusive Load Monitoring Using Recurrent Neural Networks with Occupants Location Information in Residential Buildings". Energies 16, nr 9 (25.04.2023): 3688. http://dx.doi.org/10.3390/en16093688.
Pełny tekst źródłaDacunha-Castelle, Didier, i Lisandro Fermin. "Disaggregation of Long Memory Processes on $\mathcal{C}^{\infty}$ Class". Electronic Communications in Probability 11 (2006): 35–44. http://dx.doi.org/10.1214/ecp.v11-1133.
Pełny tekst źródłaMichelogiannakis, George, Benjamin Klenk, Brandon Cook, Min Yee Teh, Madeleine Glick, Larry Dennison, Keren Bergman i John Shalf. "A Case For Intra-rack Resource Disaggregation in HPC". ACM Transactions on Architecture and Code Optimization 19, nr 2 (30.06.2022): 1–26. http://dx.doi.org/10.1145/3514245.
Pełny tekst źródłaZou, Mingzhe, Shuyang Zhu, Jiacheng Gu, Lidija M. Korunovic i Sasa Z. Djokic. "Heating and Lighting Load Disaggregation Using Frequency Components and Convolutional Bidirectional Long Short-Term Memory Method". Energies 14, nr 16 (8.08.2021): 4831. http://dx.doi.org/10.3390/en14164831.
Pełny tekst źródłaÇAVDAR, İsmail, i Vahid FARYAD. "New Design of a Supervised Energy Disaggregation Model Based on the Deep Neural Network for a Smart Grid". Energies 12, nr 7 (29.03.2019): 1217. http://dx.doi.org/10.3390/en12071217.
Pełny tekst źródłaMishra, Vaibhawa, Joshua L. Benjamin i Georgios Zervas. "MONet: heterogeneous Memory over Optical Network for large-scale data center resource disaggregation". Journal of Optical Communications and Networking 13, nr 5 (2.04.2021): 126. http://dx.doi.org/10.1364/jocn.419145.
Pełny tekst źródłaXia, Min, Wan’an Liu, Ke Wang, Wenzhu Song, Chunling Chen i Yaping Li. "Non-intrusive load disaggregation based on composite deep long short-term memory network". Expert Systems with Applications 160 (grudzień 2020): 113669. http://dx.doi.org/10.1016/j.eswa.2020.113669.
Pełny tekst źródłaKianpoor, Nasrin, Bjarte Hoff i Trond Østrem. "Deep Adaptive Ensemble Filter for Non-Intrusive Residential Load Monitoring". Sensors 23, nr 4 (10.02.2023): 1992. http://dx.doi.org/10.3390/s23041992.
Pełny tekst źródłaMaruf, Hasan Al, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon i Carl Waldspurger. "Memtrade: Marketplace for Disaggregated Memory Clouds". ACM SIGMETRICS Performance Evaluation Review 51, nr 1 (26.06.2023): 1–2. http://dx.doi.org/10.1145/3606376.3593553.
Pełny tekst źródłaMaruf, Hasan Al, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon i Carl Waldspurger. "Memtrade: Marketplace for Disaggregated Memory Clouds". Proceedings of the ACM on Measurement and Analysis of Computing Systems 7, nr 2 (19.05.2023): 1–27. http://dx.doi.org/10.1145/3589985.
Pełny tekst źródłaRafiq, Hasan, Xiaohan Shi, Hengxu Zhang, Huimin Li i Manesh Kumar Ochani. "A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing". Energies 13, nr 9 (2.05.2020): 2195. http://dx.doi.org/10.3390/en13092195.
Pełny tekst źródłaQuek, Yang Thee, Wai Lok Woo i Thillainathan Logenthiran. "Load Disaggregation Using One-Directional Convolutional Stacked Long Short-Term Memory Recurrent Neural Network". IEEE Systems Journal 14, nr 1 (marzec 2020): 1395–404. http://dx.doi.org/10.1109/jsyst.2019.2919668.
Pełny tekst źródłaWheater, H. S., T. J. Jolley, C. Onof, N. Mackay i R. E. Chandler. "Analysis of aggregation and disaggregation effects for grid-based hydrological models and the development of improved precipitation disaggregation procedures for GCMs". Hydrology and Earth System Sciences 3, nr 1 (31.03.1999): 95–108. http://dx.doi.org/10.5194/hess-3-95-1999.
Pełny tekst źródłaKoasidis, Konstantinos, Vangelis Marinakis, Haris Doukas, Nikolaos Doumouras, Anastasios Karamaneas i Alexandros Nikas. "Equipment- and Time-Constrained Data Acquisition Protocol for Non-Intrusive Appliance Load Monitoring". Energies 16, nr 21 (28.10.2023): 7315. http://dx.doi.org/10.3390/en16217315.
Pełny tekst źródłaMarkussen, Jonas, Lars Bjørlykke Kristiansen, Pål Halvorsen, Halvor Kielland-Gyrud, Håkon Kvale Stensland i Carsten Griwodz. "SmartIO". ACM Transactions on Computer Systems 38, nr 1-2 (lipiec 2021): 1–78. http://dx.doi.org/10.1145/3462545.
Pełny tekst źródłaFang, Yifan, Shanshan Jiang, Shengxuan Fang, Zhenxi Gong, Min Xia i Xiaodong Zhang. "Non-Intrusive Load Disaggregation Based on a Feature Reused Long Short-Term Memory Multiple Output Network". Buildings 12, nr 7 (19.07.2022): 1048. http://dx.doi.org/10.3390/buildings12071048.
Pełny tekst źródłaDinamarca, M. C., W. Cerpa, J. Garrido, J. L. Hancke i N. C. Inestrosa. "Hyperforin prevents β-amyloid neurotoxicity and spatial memory impairments by disaggregation of Alzheimer's amyloid-β-deposits". Molecular Psychiatry 11, nr 11 (25.07.2006): 1032–48. http://dx.doi.org/10.1038/sj.mp.4001866.
Pełny tekst źródłaVella, Jennifer L., Aleksey Molodtsov, Christina V. Angeles, Bruce R. Branchini, Mary Jo Turk i Yina H. Huang. "Dendritic cells maintain anti-tumor immunity by positioning CD8 skin-resident memory T cells". Life Science Alliance 4, nr 10 (6.08.2021): e202101056. http://dx.doi.org/10.26508/lsa.202101056.
Pełny tekst źródłaAlachiotis, Nikolaos, Panagiotis Skrimponis, Manolis Pissadakis i Dionisios Pnevmatikatos. "Scalable Phylogeny Reconstruction with Disaggregated Near-memory Processing". ACM Transactions on Reconfigurable Technology and Systems 15, nr 3 (30.09.2022): 1–32. http://dx.doi.org/10.1145/3484983.
Pełny tekst źródłaZhou, Dongguo, Yangjie Wu i Hong Zhou. "A Nonintrusive Load Monitoring Method for Microgrid EMS Using Bi-LSTM Algorithm". Complexity 2021 (22.01.2021): 1–11. http://dx.doi.org/10.1155/2021/6688889.
Pełny tekst źródłaWang, Yunliang, Honglei Yin, Lin Wang, Adam Shuboy, Jiyu Lou, Bing Han, Xiaoxi Zhang i Jinfeng Li. "Curcumin as a Potential Treatment for Alzheimer's Disease: A Study of the Effects of Curcumin on Hippocampal Expression of Glial Fibrillary Acidic Protein". American Journal of Chinese Medicine 41, nr 01 (styczeń 2013): 59–70. http://dx.doi.org/10.1142/s0192415x13500055.
Pełny tekst źródłaChauhan, Pallavi Singh, Dhananjay Yadav, Bhupendra Koul, Yugal Kishore Mohanta i Jun-O. Jin. "Recent Advances in Nanotechnology: A Novel Therapeutic System for the Treatment of Alzheimer’s Disease". Current Drug Metabolism 21, nr 14 (30.12.2020): 1144–51. http://dx.doi.org/10.2174/1389200221666201124140518.
Pełny tekst źródłaGiannoula, Christina, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios Goumas, Zeshan Chishti i Nandita Vijaykumar. "DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems". Proceedings of the ACM on Measurement and Analysis of Computing Systems 7, nr 1 (27.02.2023): 1–36. http://dx.doi.org/10.1145/3579445.
Pełny tekst źródłaWood, Michael, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins i Sonia Leva. "Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies". Forecasting 5, nr 1 (2.03.2023): 297–314. http://dx.doi.org/10.3390/forecast5010016.
Pełny tekst źródłaFu, Yaosheng, Evgeny Bolotin, Niladrish Chatterjee, David Nellans i Stephen W. Keckler. "GPU Domain Specialization via Composable On-Package Architecture". ACM Transactions on Architecture and Code Optimization 19, nr 1 (31.03.2022): 1–23. http://dx.doi.org/10.1145/3484505.
Pełny tekst źródłaÇavdar, İsmail Hakkı, i Vahit Feryad. "Efficient Design of Energy Disaggregation Model with BERT-NILM Trained by AdaX Optimization Method for Smart Grid". Energies 14, nr 15 (30.07.2021): 4649. http://dx.doi.org/10.3390/en14154649.
Pełny tekst źródłaPark, Jong-Hyeok, Soyee Choi, Gihwan Oh i Sang-Won Lee. "SaS". Proceedings of the VLDB Endowment 14, nr 9 (maj 2021): 1481–88. http://dx.doi.org/10.14778/3461535.3461538.
Pełny tekst źródłaAthanasiadis, Christos, Dimitrios Doukas, Theofilos Papadopoulos i Antonios Chrysopoulos. "A Scalable Real-Time Non-Intrusive Load Monitoring System for the Estimation of Household Appliance Power Consumption". Energies 14, nr 3 (1.02.2021): 767. http://dx.doi.org/10.3390/en14030767.
Pełny tekst źródłaKim, Jihyun, Thi-Thu-Huong Le i Howon Kim. "Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature". Computational Intelligence and Neuroscience 2017 (2017): 1–22. http://dx.doi.org/10.1155/2017/4216281.
Pełny tekst źródłaLee, Chung Hyeon, Min Sung Ko, Ye Seul Kim, Ju Eon Ham, Jee Yeon Choi, Kwang Woo Hwang i So-Young Park. "Neuroprotective Effects of Davallia mariesii Roots and Its Active Constituents on Scopolamine-Induced Memory Impairment in In Vivo and In Vitro Studies". Pharmaceuticals 16, nr 11 (14.11.2023): 1606. http://dx.doi.org/10.3390/ph16111606.
Pełny tekst źródłaRajan, Sanju, i Linda Joseph. "An Adaptable Optimal Network Topology Model for Efficient Data Centre Design in Storage Area Networks". International Journal on Recent and Innovation Trends in Computing and Communication 11, nr 2s (31.01.2023): 43–50. http://dx.doi.org/10.17762/ijritcc.v11i2s.6027.
Pełny tekst źródłaLiu, Shu-Ying, Shuai Lu, Xiao-Lin Yu, Shi-Gao Yang, Wen Liu, Xiang-Meng Liu, Shao-Wei Wang i in. "Fruitless Wolfberry-Sprout Extract Rescued Cognitive Deficits and Attenuated Neuropathology in Alzheimer’s Disease Transgenic Mice". Current Alzheimer Research 15, nr 9 (11.07.2018): 856–68. http://dx.doi.org/10.2174/1567205015666180404160625.
Pełny tekst źródłaAalipour, Mehdi, Bohumil Šťastný, Filip Horký i Bahman Jabbarian Amiri. "Scaling an Artificial Neural Network-Based Water Quality Index Model from Small to Large Catchments". Water 14, nr 6 (15.03.2022): 920. http://dx.doi.org/10.3390/w14060920.
Pełny tekst źródłaAjdari, Mohammadamin, Patrick Raaf, Mostafa Kishani, Reza Salkhordeh, Hossein Asadi i André Brinkmann. "An Enterprise-Grade Open-Source Data Reduction Architecture for All-Flash Storage Systems". Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, nr 2 (26.05.2022): 1–27. http://dx.doi.org/10.1145/3530896.
Pełny tekst źródłaChai, Tian, Xiao-Bo Zhao, Wei-Feng Wang, Yin Qiang, Xiao-Yun Zhang i Jun-Li Yang. "Design, Synthesis of N-phenethyl Cinnamide Derivatives and Their Biological Activities for the Treatment of Alzheimer’s Disease: Antioxidant, Beta-amyloid Disaggregating and Rescue Effects on Memory Loss". Molecules 23, nr 10 (16.10.2018): 2663. http://dx.doi.org/10.3390/molecules23102663.
Pełny tekst źródłaKwon, Miryeong, Junhyeok Jang, Hanjin Choi, Sangwon Lee i Myoungsoo Jung. "Failure Tolerant Training with Persistent Memory Disaggregation over CXL". IEEE Micro, 2023, 1–11. http://dx.doi.org/10.1109/mm.2023.3237548.
Pełny tekst źródłaJang, Junhyeok, Hanjin Choi, Hanyeoreum Bae, Seungjun Lee, Miryeong Kwon i Myoungsoo Jung. "Bridging Software-Hardware for CXL Memory Disaggregation in Billion-Scale Nearest Neighbor Search". ACM Transactions on Storage, 6.01.2024. http://dx.doi.org/10.1145/3639471.
Pełny tekst źródłaLi, Bingbing, Tongzi Wu, Shijie Bian i John W. Sutherland. "Predictive model for real-time energy disaggregation using long short-term memory". CIRP Annals, kwiecień 2023. http://dx.doi.org/10.1016/j.cirp.2023.04.066.
Pełny tekst źródłaSun, JiaXuan, JunNian Wang, WenXin Yu, ZhenHeng Wang i YangHua Wang. "Power Load Disaggregation of Households with Solar Panels Based on an Improved Long Short-term Memory Network". Journal of Electrical Engineering & Technology, 18.08.2020. http://dx.doi.org/10.1007/s42835-020-00513-7.
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