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Publication search results
found 243 matches
- 2024
- Vikas Palakonda, Jae-Mo Kang, Heechul Jung:
Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization. IEEE Access 12: 120612-120623 (2024) - Wei Zheng, Yanyan Tan, Zeyuan Yan, Mingming Yang:
A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization. Inf. Sci. 677: 120940 (2024) - Dexuan Zhou, Huajie Chen, Cheuk Hin Ho, Christoph Ortner:
A Multilevel Method for Many-Electron Schrödinger Equations Based on the Atomic Cluster Expansion. SIAM J. Sci. Comput. 46(1): 105- (2024) - Ashish Sharma, Satyasai Jagannath Nanda:
A many objective chimp optimization algorithm to de-cluster earthquake catalogs in space time domain. Soft Comput. 28(6): 5287-5320 (2024) - Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs. IEEE Trans. Big Data 10(1): 77-91 (2024) - Xin-Duo Liu, Weijia He, Ming-Lin Yang, Xin-Qing Sheng:
Massive parallelization of multilevel fast multipole algorithm for 3-D electromagnetic scattering problems on SW26010 many-core cluster. J. Supercomput. 80(7): 8702-8718 (2024) - Sergio Mazzola, Samuel Riedel, Luca Benini:
Enabling Efficient Hybrid Systolic Computation in Shared-L1-Memory Manycore Clusters. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1602-1615 (2024) - Somayeh Kanani, Parham Moradi, Mahdi Jalili:
Decomposition and Clustering-Based Many-Objective Optimization for Multi-Label Feature Selection. GECCO Companion 2024: 671-674 - Xinrun Xu, Manying Lv, Zhanbiao Lian, Yurong Wu, Jin Yan, Shan Jiang, Zhiming Ding:
A Clustering Method with Graph Maximum Decoding Information. IJCNN 2024: 1-9 - Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella:
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters. NSDI 2024 - Sergio Mazzola, Samuel Riedel, Luca Benini:
Enabling Efficient Hybrid Systolic Computation in Shared L1-Memory Manycore Clusters. CoRR abs/2402.12986 (2024) - Xinrun Xu, Manying Lv, Yurong Wu, Zhanbiao Lian, Zhiming Ding, Jin Yan, Shan Jiang:
A Clustering Method with Graph Maximum Decoding Information. CoRR abs/2403.13846 (2024) - 2023
- Inkyu Bang, Venissa Adzo Sedem Manya, Jonghyun Kim, Taehoon Kim:
On the Effect of Malicious User on D2D Cluster: CSI Forgery and Countermeasures. IEEE Access 11: 5517-5527 (2023) - Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi:
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization. IEEE Access 11: 126066-126086 (2023) - Vikas Palakonda, Jae-Mo Kang, Heechul Jung:
An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering. Expert Syst. Appl. 227: 120278 (2023) - Xujian Wang, Fenggan Zhang, Minli Yao:
A many-objective evolutionary algorithm with estimating the convexity-concavity of Pareto fronts and clustering. Inf. Sci. 644: 119289 (2023) - Chunteng Bao, Diju Gao, Yi Ding, Lihong Xu, Erik D. Goodman:
Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering. Knowl. Based Syst. 278: 110906 (2023) - Matteo Novaga, Emanuele Paolini, Eugene Stepanov, Vincenzo Maria Tortorelli:
Isoperimetric planar clusters with infinitely many regions. Networks Heterog. Media 18(3): 1226-1235 (2023) - Lukas Reitz, Kai Hardenbicker, Tobias Werner, Claudia Fohry:
Lifeline-based load balancing schemes for Asynchronous Many-Task runtimes in clusters. Parallel Comput. 116: 103020 (2023) - Wencheng Shi, Nan Hu, Jiangsu Du, Dan Huang, Yutong Lu:
Enhancing Multi-physics Coupling on ARM Many-Core Cluster. APPT 2023: 3-18 - Mingjing Wang, Long Chen, Huiling Chen:
An Objective Reduction Evolutionary Multiobjective Algorithm using Adaptive Density-Based Clustering for Many-objective Optimization Problem. CACML 2023: 542-546 - Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel:
Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. DAC 2023: 1-6 - Yutaro Nozaki, Takuya Azumi:
DAG Scheduling for Clustered Many-Core Processor Considering Execution-Time-Reduction Effectiveness. DS-RT 2023: 101-104 - Na Yang, Quan Zhang, Ying Wu, Yisu Ge, Zhenzhou Tang:
A hierarchical clustering-based cooperative multi-population many-objective optimization algorithm. GECCO 2023: 795-803 - Lucas Leandro Nesi, Vinícius Garcia Pinto, Lucas Mello Schnorr, Arnaud Legrand:
Summarizing task-based applications behavior over many nodes through progression clustering. PDP 2023: 35-42 - Yoshiki Kawanishi, Patrick Finnerty, Tomio Kamada, Chikara Ohta:
Distributed Cell Set : A Library for Space-Dependent Communication/Computation Overlap on Manycore Cluster. PMAM@PPoPP 2023: 11-19 - Marco Bertuletti, Samuel Riedel, Yichao Zhang, Alessandro Vanelli-Coralli, Luca Benini:
Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster. SAMOS 2023: 241-254 - Dexuan Zhou, Huajie Chen, Cheuk Hin Ho, Christoph Ortner:
A Multilevel Method for Many-Electron Schrödinger Equations Based on the Atomic Cluster Expansion. CoRR abs/2304.04260 (2023) - Marco Bertuletti, Samuel Riedel, Yichao Zhang, Alessandro Vanelli-Coralli, Luca Benini:
Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster. CoRR abs/2307.10248 (2023) - Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella:
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters. CoRR abs/2308.00852 (2023)
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