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ORCIDJournal of Parallel and Distributed Computing, Volume 117
Volume 117, July 2018
- Lida Ghaemi Dizaji
, Akbar Ghaffarpour Rahbar:
PAHON: Power-Aware Hybrid Optical Network. 1-16 - Jinwoong Kim, Beomseok Nam:
Corrigendum to "Co-processing heterogeneous parallel index for multi-dimensional datasets" [J. Parallel Distrib. Comput. 113 (2018) 195-203]. 17 - Hao Liu, Linpeng Huang, Yanmin Zhu, Shengan Zheng, Yanyan Shen:
HMFS: A hybrid in-memory file system with version consistency. 18-36 - Wei Guo, Yufeng Nie, Weiwei Zhang:
Parallel adaptive mesh refinement method based on bubble-type local mesh generation. 37-49 - Lélia Blin, Fadwa Boubekeur, Swan Dubois:
A self-stabilizing memory efficient algorithm for the minimum diameter spanning tree under an omnipotent daemon. 50-62 - Chuge Wu, Ling Wang:
A multi-model estimation of distribution algorithm for energy efficient scheduling under cloud computing system. 63-72 - Adel Dabah, Ahcène Bendjoudi, Abdelhakim AitZai, Didier El Baz, Nadia Nouali-Taboudjemat:
Hybrid multi-core CPU and GPU-based B&B approaches for the blocking job shop scheduling problem. 73-86 - Weisheng Si, Quincy Tse, Guoqiang Mao, Albert Y. Zomaya:
On the performance of greedy forwarding on Yao and Theta graphs. 87-97 - Anshu Shukla, Yogesh Simmhan:
Model-driven scheduling for distributed stream processing systems. 98-114 - Jinyu Zhan, Xia Zhang, Wei Jiang, Yue Ma, Ke Jiang:
Energy optimization of security-sensitive mixed-criticality applications for distributed real-time systems. 115-126 - Kejie Huang, Rong Zhao, Yong Lian:
Racetrack Memory based hybrid Look-Up Table (LUT) for low power reconfigurable computing. 127-137 - Pedro López, Elvira Baydal:
Teaching high-performance service in a cluster computing course. 138-147 - Joshua S. Monson, Brad L. Hutchings:
Enhancing debug observability for HLS-based FPGA circuits through source-to-source compilation. 148-160 - Christophe Bobda, Franck Yonga, Martin Gebser, Harold Ishebabi, Torsten Schaub:
High-level synthesis of on-chip multiprocessor architectures based on answer set programming. 161-179 - Alejandro Martín, Raúl Lara-Cabrera, Félix Fuentes-Hurtado, Valery Naranjo, David Camacho:
EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation. 180-191 - Chen Chen, Hongyu Xiang, Tie Qiu, Cong Wang, Yang Zhou, Victor Chang:
A rear-end collision prediction scheme based on deep learning in the Internet of Vehicles. 192-204 - Zhi Wang, Xizhao Wang:
A deep stochastic weight assignment network and its application to chess playing. 205-211 - Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou:
Prediction of human protein subcellular localization using deep learning. 212-217 - Hao Chen, Jianglong Xu, Guangyi Xiao, Qi Wu, Shiqin Zhang:
Fast auto-clean CNN model for online prediction of food materials. 218-227 - Gagangeet Singh Aujla, Neeraj Kumar:
SDN-based energy management scheme for sustainability of data centers: An analysis on renewable energy sources and electric vehicles participation. 228-245 - R. Elakkiya, K. Selvamani:
Enhanced dynamic programming approach for subunit modelling to handle segmentation and recognition ambiguities in sign language. 246-255 - Shahid Hussain, Jacky Keung, Arif Ali Khan, Awais Ahmad, Salvatore Cuomo, Francesco Piccialli, Gwanggil Jeon, Adnan Akhunzada:
Implications of deep learning for the automation of design patterns organization. 256-266 - Chao Tong, Jun Li, Chao Lang, Fanxin Kong, Jianwei Niu, Joel J. P. C. Rodrigues:
An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders. 267-273 - Tao Li, Brij Bhooshan Gupta, Roberto Metere:
Socially-conforming cooperative computation in cloud networks. 274-280 - Xuesong Wang, Yuting Ma, Yuhu Cheng, Liang Zou, Joel J. P. C. Rodrigues:
Heterogeneous domain adaptation network based on autoencoder. 281-291 - Alexandru Iulian Orhean, Florin Pop, Ioan Raicu:
New scheduling approach using reinforcement learning for heterogeneous distributed systems. 292-302
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