Suchergebnisse - MapReduce (Distributed parallel programming)

MapReduce: an infrastructure review and research insights von Maleki, Neda, Rahmani, Amir Masoud, Conti, Mauro

“… Among all the parallel programming models, one that gains a lot of popularity is MapReduce …”
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A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming von Natesan, P., Sathishkumar, V. E., Mathivanan, Sandeep Kumar, Venkatasen, Maheshwari, Jayagopal, Prabhu, Allayear, Shaikh Muhammad

“… Recently, there are many distributed data processing, and programming models have been proposed and implemented to handle big data applications …”
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Melia: A MapReduce Framework on OpenCL-Based FPGAs von Wang, Zeke, Zhang, Shuhao, He, Bingsheng, Zhang, Wei

“… MapReduce, originally developed by Google for search applications, has recently become a popular programming framework for parallel and distributed environments …”
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MapReduce functions to remote sensing distributed data processing—Global vegetation drought monitoring as example von Zou, Quan, Li, Guoqing, Yu, Wenyang

“… ‐intensive computing problem in the global change has emerged. Distributed computing infrastructures are suitable to store large …”
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MapReduce-based distributed tensor clustering algorithm von Zhang, Hongjun, Li, Peng, Meng, Fanshuo, Fan, Weibei, Xue, Zhuangzhuang

“… Hadoop is an open source distributed cloud computing platform with HDFS (Digital File System) and MapReduce as its core …”
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On using MapReduce to scale algorithms for Big Data analytics: a case study von Kijsanayothin, Phongphun, Chalumporn, Gantaphon, Hewett, Rattikorn

“… Advances in many Big Data analytics algorithms are contributed by MapReduce, a programming paradigm that enables parallel and distributed execution of massive data processing on large clusters of machines …”
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HadoopCL2: Motivating the Design of a Distributed, Heterogeneous Programming System With Machine-Learning Applications von Grossman, Max, Breternitz, Mauricio, Sarkar, Vivek

“… However, performing optimized ports is challenging for domain experts who may lack experience in distributed and heterogeneous software development …”
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Performance Comparison of OpenMP, MPI, and MapReduce in Practical Problems von Kang, Sol Ji, Lee, Keon Myung, Lee, Sang Yeon

“… With problem size and complexity increasing, several parallel and distributed programming models and frameworks have been developed to efficiently handle such problems …”
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Improving MapReduce heterogeneous performance using KNN fair share scheduling von Kalia, Khushboo, Dixit, Saurav, Kumar, Kaushal, Gera, Rajat, Epifantsev, Kirill, John, Vinod, Taskaeva, Natalia

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Parallel Programming Paradigms and Frameworks in Big Data Era von Dobre, Ciprian, Xhafa, Fatos

“… With Cloud Computing emerging as a promising new approach for ad-hoc parallel data processing, major companies have started to integrate frameworks for parallel data processing in their product …”
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Large-Scale Deep Belief Nets With MapReduce von Kunlei Zhang, Xue-Wen Chen

“… The emerging big data learning requires distributed computing for the DBNs. In this paper, we present a distributed learning paradigm for the RBMs and the backpropagation algorithm using MapReduce, a popular parallel programming model …”
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An Optimized Model for MapReduce Based on Hadoop von Hong, Zhang, Xiao-ming, Wang, Jie, Cao, Yan-hong, Ma, Yi-rong, Guo, Min, Wang

“… +Fork/Join programming model which is a distributed and parallel architecture combined with coarse-grained and fine-grained on Hadoop platform to Support two-tier levels of parallelism architecture …”
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Google’s MapReduce programming model — Revisited von Lämmel, Ralf

“… Google’s MapReduce programming model serves for processing large data sets in a massively parallel manner …”
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Map-Balance-Reduce: An improved parallel programming model for load balancing of MapReduce von Li, Jianjiang, Liu, Yajun, Pan, Jian, Zhang, Peng, Chen, Wei, Wang, Lizhe

“… Currently, MapReduce is the most commonly used data processing programming model. However, in some data processing cases, it has some …”
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Programming models and systems for Big Data analysis von Belcastro, Loris, Marozzo, Fabrizio, Talia, Domenico

“… Taking into account the most popular programming models for Big Data analysis (MapReduce, Directed Acyclic Graph, Message Passing, Bulk Synchronous Parallel, Workflow and SQL-like …”
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Comparative Analysis of Skew-Join Strategies for Large-Scale Datasets with MapReduce and Spark von Phan, Anh-Cang, Phan, Thuong-Cang, Cao, Hung-Phi, Trieu, Thanh-Ngoan

“… MapReduce has become a prominent parallel and distributed programming model for efficiently handling such massive datasets …”
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A MapReduce-based artificial bee colony for large-scale data clustering von Banharnsakun, Anan

“… •A MapReduce-Based ABC for Large Scale Data Clustering.•Implementing based on the MapReduce model in the Hadoop framework …”
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Data and task parallelism in ILP using MapReduce von Srinivasan, Ashwin, Faruquie, Tanveer A., Joshi, Sachindra

“… Nearly two decades of research in the area of Inductive Logic Programming (ILP) have seen steady progress in clarifying its theoretical foundations and regular demonstrations of its applicability to complex problems in very diverse domains …”
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Mars: A MapReduce Framework on graphics processors von He, Bingsheng, Fang, Wenbin, Luo, Qiong, Govindaraju, Naga K., Wang, Tuyong

“… We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed …”
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Performance evaluation of MapReduce using full virtualisation on a departmental cloud von González-Vélez, Horacio, Kontagora, Maryam

“… Performance evaluation of MapReduce using full virtualisation on a departmental cloud This work analyses the performance of Hadoop, an implementation of the MapReduce programming model for distributed …”
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