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A Latency-Hiding Algorithm for ABMS on Parallel/Distributed Computing Environment by Li-li Chen, Jian-xin Huang, Jing Zhang

“…) on parallel/distributed computing platform is proposed. The key idea of this algorithm is using redundant computations to hide communication latencies…”
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Fast and Precise: Parallel Processing of Vehicle Traffic Videos Using Big Data Analytics by Perafan-Villota, Juan C., Mondragon, Oscar H., Mayor-Toro, Walter M.

“… Computer vision can be used in combination with parallel distributed systems to provide city authorities tools for automatic and fast processing of stored videos to determine the most significant…”
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Exploiting Simultaneous Communications to Accelerate Data Parallel Distributed Deep Learning by Shi, Shaohuai, Chu, Xiaowen, Li, Bo

“…) is a key ingredient to improve communication efficiency. However, existing tensor fusion techniques schedule the communication tasks sequentially, which overlooks their independence nature…”
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A parallel, distributed memory implementation of the adaptive sampling configuration interaction method by Williams-Young, David B, Tubman, Norm M, Mejuto-Zaera, Carlos, de Jong, Wibe A

“… Here, we present a parallel, distributed memory implementation of the adaptive sampling configuration interaction approach (ASCI) for sCI…”
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Using parallel & distributed computing for real-time solving of vehicle routing problems with stochastic demands by Juan, Angel A., Faulin, Javier, Jorba, Josep, Caceres, Jose, Marquès, Joan Manuel

“… Thus, for a given VRPSD instance, our algorithm considers different levels of safety stocks…”
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Scalable distributed data cube computation for large-scale multidimensional data analysis on a Spark cluster by Lee, Suan, Kang, Seok, Kim, Jinho, Yu, Eun Jung

“… Previous works have developed various algorithms for efficiently generating data cubes using MapReduce, which is a large-scale distributed parallel processing framework…”
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Efficient Anytime Anywhere Algorithms for Closeness Centrality in Large and Dynamic Graphs by Santos, Eunice E., Korah, John, Murugappan, Vairavan, Subramanian, Suresh

“… In our previous work, we presented an overarching anytime anywhere framework for designing parallel and distributed social network analysis algorithms that are scalable to large network sizes and can handle dynamism…”
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Takagi–Sugeno fuzzy-based approach for modeling and control of an activated sludge process by Arifi, Ali, Bouallègue, Soufiene

“… Given its better performance, biological treatment via an activated sludge process (ASP) represents the key phase in the overall treatment chain…”
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An efficient theta-join query processing in distributed environment by Liu, Wenjie, Li, Zhanhuai

“… In this work, we propose a filter method for theta-join on the purpose of reducing the computation cost and achieving the minimum execution time in distributed environment…”
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Influence of the Migration Policy in Parallel Distributed GAs with Structured and Panmictic Populations by Alba, Enrique, Troya, José M.

“… The difference lies in whether any individual in the population can mate with any other one or not. In this work, they are both considered as two reproductive loop types executed in the islands of a parallel distributed GA…”
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Optimizing Machine Learning Algorithms on Multi-Core and Many-Core Architectures Using Thread and Data Mapping by Serpa, Matheus S., Krause, Arthur M., Cruz, Eduardo H.M., Navaux, Philippe Olivier Alexandre, Pasin, Marcelo, Felber, Pascal

“… The algorithms at the core of machine learning are notoriously demanding in terms of resources…”
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An Automated Staff Roster Planning System (SRPS) For Healthcare Industry by Zhu, Larry Ruohua, Tong, Jun Hong, Low, Malcolm Yoke Hean, Lau, Ben Hsin, Chen, Mary Xiaorong, Wang, Zhengkui

“…This paper proposed an automated staff roster planning system (SRPS) for the healthcare sector with the objective to revolutionize the existing approach of…”
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Parallel distributed numerical simulations in aeronautic applications by Alléon, G., Champagneux, S., Chevalier, G., Giraud, L., Sylvand, G.

“…The numerical simulation plays a key role in industrial design because it enables to reduce the time and the cost to develop new products…”
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Dynamic Application Mapping Algorithm for Wireless Network-on-Chip by Rezaei, Amin, Daneshtalab, Masoud, Zhao, Danella, Safaei, Farshad, Xiaohang Wang, Ebrahimi, Masoumeh

“… However, congestion occurrence in wireless routers reduces the benefit of high speed wireless links and significantly increases the network latency, therefore, in this paper, a Dynamic Application Mapping Algorithm (DAMA…”
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Parallel Branch-and-Bound in multi-core multi-CPU multi-GPU heterogeneous environments by Vu, Trong-Tuan, Derbel, Bilel

“… B&B algorithms while describing efficient techniques…”
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GPU Implementation of Inverse Iteration Algorithm for Computing Eigenvectors by Ishigami, Hiroyuki, Kimura, Kinji, Nakamura, Yoshimasa

“… The key to effectively accelerating the inverse iteration algorithm in GPU computing is the adoption of reorthogonalization code optimal for the GPU…”
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Enhancing the Scalability and Memory Usage of Hashsieve on Multi-core CPUs by Mariano, Artur, Bischof, Christian

“… This is a problem because the asymptotic complexity of the best algorithms plays a key role in the construction of cryptosystems, but only practically appealing, validated algorithms are accounted for in this…”
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XORAdap: A HoL-Blocking Aware Adaptive Routing Algorithm by Penaranda, Roberto, Gomez, Crispin, Gomez, Maria Engracia, Lopez, Pedro

“…Routing is a key parameter in the design of the interconnection network of large parallel computers…”
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A Cluster-Based Approach to Consensus Based Distributed Task Allocation by Smith, Darren, Wetherall, Jodie, Woodhead, Stephen, Adekunle, Andrew

“…This paper presents a novel extension to the Consensus-Based Bundle Algorithm (CBBA), which we have named Cluster-Formed Consensus-Based Bundle Algorithm…”
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Dimension Reduction Methods for Collaborative Mobile Gossip Learning by Berta, Arpad, Hegedus, Istvan, Jelasity, Mark

“…Decentralized learning algorithms are very sensitive to the size of the raw data records due to the resulting large communication cost…”
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