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ORCIDJournal of Parallel and Distributed Computing, Volume 174
Volume 174, April 2023
- Fan Yang, Hua-Qiong Wang, Jianjing Fu:
Corrigendum to "Improvement of recommendation algorithm based on Collaborative Deep Learning and its Parallelization on Spark" [J. Parallel Distrib. Comput. 148 (2021) 58-68]. 1
- João Vicente Souto, Márcio Castro
:
Improving concurrency and memory usage in distributed operating systems for lightweight manycores via cooperative time-sharing lightweight tasks. 2-18 - Xinjian Long, Xiangyang Gong, Bo Zhang, Huiyang Zhou:
Deep learning based data prefetching in CPU-GPU unified virtual memory. 19-31 - Raúl Taranco, José-María Arnau, Antonio González:
LOCATOR: Low-power ORB accelerator for autonomous cars. 32-45
- Mohammad Mainul Islam, Fahimeh Ramezani, Haiyan Lu, Mohsen Naderpour:
Optimal placement of applications in the fog environment: A systematic literature review. 46-69
- Wenmin Lin, Hui Leng, Ruihan Dou, Lianyong Qi, Zhigeng Pan, Md. Arafatur Rahman:
A federated collaborative recommendation model for privacy-preserving distributed recommender applications based on microservice framework. 70-80
- Ehsan Khodayarseresht, Alireza Shameli-Sendi:
A multi-objective cloud energy optimizer algorithm for federated environments. 81-99
- Anne Benoit, Louis-Claude Canon, Redouane Elghazi, Pierre-Cyrille Héam:
List and shelf schedules for independent parallel tasks to minimize the energy consumption with discrete or continuous speeds. 100-117
- Daniel Allendorf, Ulrich Meyer, Manuel Penschuck, Hung Tran:
Parallel global edge switching for the uniform sampling of simple graphs with prescribed degrees. 118-129
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