Search Results - Parallel Programming General Terms Experimentation Keywords MapReduce*

Riding the elephant: managing ensembles with hadoop

Authors: Elif Dede Madhusudhan Govindaraju Dan Gunter et al.

Contributors: Elif Dede Madhusudhan Govindaraju Dan Gunter et al.

Source: http://www.cs.binghamton.edu/~mgovinda/papers/MTAGS-2011-cameraready.pdf.

Subject Terms: Categories and Subject Descriptors D.1.3 [Concurrent Programming, Parallel Programming General Terms Experimentation Keywords MapReduce, Hadoop, scientific ensembles, data-intensive, workflows

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.115

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.115
http://www.cs.binghamton.edu/~mgovinda/papers/MTAGS-2011-cameraready.pdf

Analytics: exploring data-centric, declarative programming for the cloud

Authors: Peter Alvaro Khaled Elmeleegy Tyson Condie et al.

Contributors: Peter Alvaro Khaled Elmeleegy Tyson Condie et al.

Source: http://neilconway.org/docs/booma_eurosys2010.pdf.

Subject Terms: Categories and Subject Descriptors H.3.4 [Information Storage and Retrieval, Systems and Software—Distributed systems General Terms Keywords Design, Experimentation, Languages Cloud Computing, Datalog, MapReduce

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.233.4432; http://neilconway.org/docs/booma_eurosys2010.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.233.4432
http://neilconway.org/docs/booma_eurosys2010.pdf

Boom analytics: exploring data-centric, declarative programming for the cloud

Authors: Peter Alvaro Khaled Elmeleegy Tyson Condie et al.

Contributors: Peter Alvaro Khaled Elmeleegy Tyson Condie et al.

Source: http://db.cs.berkeley.edu/papers/eurosys10-boom.pdf.

Subject Terms: Categories and Subject Descriptors H.3.4 [Information Storage and Retrieval, Systems and Software—Distributed systems General Terms Keywords Design, Experimentation, Languages Cloud Computing, Datalog, MapReduce

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.6573

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.6573
http://db.cs.berkeley.edu/papers/eurosys10-boom.pdf

MapReduce-based distributed tensor clustering algorithm.

Authors: Zhang, Hongjun Li, Peng Meng, Fanshuo et al.

Source: Neural Computing & Applications; Dec2023, Vol. 35 Issue 35, p24633-24649, 17p

Subject Terms: K-means clustering, CLUSTER analysis (Statistics), COMPUTER science, ALGORITHMS, PARTITION functions, PARALLEL processing, PARALLEL programming

C-MR: Continuously Executing MapReduce Workflows on Multi-Core Processors

Authors: Nathan Backman Karthik Pattabiraman Rodrigo Fonseca et al.

Contributors: Nathan Backman Karthik Pattabiraman Rodrigo Fonseca et al.

Source: http://cs.brown.edu/~backman/backman_MAPREDUCE12.pdf.

Subject Terms: Categories and Subject Descriptors H.2.4 [Database Management, Systems – query processing, parallel databases General Terms Design, Performance, Experimentation Keywords Stream processing, MapReduce, Multi-core

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.4244; http://cs.brown.edu/~backman/backman_MAPREDUCE12.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.4244
http://cs.brown.edu/~backman/backman_MAPREDUCE12.pdf

Data intensive applications on clouds

Authors: Geoffrey Fox The Pennsylvania State University CiteSeerX Archives

Contributors: Geoffrey Fox The Pennsylvania State University CiteSeerX Archives

Source: http://grids.ucs.indiana.edu/ptliupages/publications/data311gf-fox.pdf.

Subject Terms: Categories and Subject Descriptors D.1.3 [Software Programming Techniques, Concurrent Programming General Terms Algorithms, Design, Experimentation, Performance Keywords mapreduce, iterative mapreduce, data intensive science, data analytics, exascale, cloud, performance, pleasingly parallel, high throughput

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.5648

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.5648
http://grids.ucs.indiana.edu/ptliupages/publications/data311gf-fox.pdf

Counting triangles and the curse of the last reducer

Authors: Siddharth Suri Sergei Vassilvitskii The Pennsylvania State University CiteSeerX Archives

Contributors: Siddharth Suri Sergei Vassilvitskii The Pennsylvania State University CiteSeerX Archives

Source: http://www.www2011india.com/proceeding/proceedings/p607.pdf.

Subject Terms: Categories and Subject Descriptors H.4.m [Information Systems, Miscellaneous General Terms Algorithms, Experimentation, Theory Keywords Clustering Coefficient, MapReduce

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.8851; http://www.www2011india.com/proceeding/proceedings/p607.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.8851
http://www.www2011india.com/proceeding/proceedings/p607.pdf

A Comprehensive Exploration of Languages for Parallel Computing.

Authors: CICCOZZI, FEDERICO ADDAZI, LORENZO ASADOLLAH, SARA ABBASPOUR et al.

Source: ACM Computing Surveys; Mar2023, Vol. 55 Issue 2, p1-39, 39p, 2 Diagrams, 8 Charts, 12 Graphs

Subject Terms: PARALLEL programming, GREY literature, LANGUAGE research, AUTONOMOUS vehicles

SCALLA: A Platform for Scalable One-Pass Analytics Using MapReduce

Authors: Boduo Li Edward Mazur Yanlei Diao et al.

Contributors: Boduo Li Edward Mazur Yanlei Diao et al.

Source: http://www.cs.umass.edu/%7Eboduo/publications/2012TODS-scalla.pdf.

Subject Terms: Categories and Subject Descriptors, H.2.4 [Database Management, Systems General Terms, Algorithms, Design, Experimentation, Performance Additional Key Words and Phrases, Parallel processing

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.6769

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.6769
http://www.cs.umass.edu/%7Eboduo/publications/2012TODS-scalla.pdf

Harvesting the Aggregate Computing Power of Commodity Computers for Supercomputing Applications.

Authors: Regassa, Dereje Yeom, Heonyoung Son, Yongseok

Source: Applied Sciences (2076-3417); May2022, Vol. 12 Issue 10, p5113, 18p

Subject Terms: APPLICATION software, JOB applications, SUPERCOMPUTERS, COMPUTER workstation clusters, MESSAGE passing (Computer science), PARALLEL programming

Data Parallel C++

Authors: James Reinders Ben Ashbaugh James Brodman et al.

Resource Type: eBook.

Subjects: C++ (Computer program language), Heterogeneous computing, OpenCL (Computer program language)

Categories: COMPUTERS / Programming / Compilers, COMPUTERS / Hardware / General

POFCM: A Parallel Fuzzy Clustering Algorithm for Large Datasets.

Authors: Pérez-Ortega, Joaquín Rey-Figueroa, César David Roblero-Aguilar, Sandra Silvia et al.

Source: Mathematics (2227-7390); Apr2023, Vol. 11 Issue 8, p1920, 16p

Subject Terms: FUZZY algorithms, PARALLEL algorithms, PARALLEL processing, PARALLEL programming, DECISION making, ALGORITHMS

A survey on parallel computing for traditional computer vision.

Authors: Jaiswal, Deepak Kumar, Praveen

Source: Concurrency & Computation: Practice & Experience; Feb2022, Vol. 34 Issue 4, p1-21, 21p

Subject Terms: COMPUTER vision, REAL-time computing, IMAGE processing, PARALLEL programming, SOFTWARE frameworks, DEEP learning

A hierarchical framework for cross-domain mapreduce execution

Authors: Yuan Luo Zhenhua Guo Yiming Sun et al.

Contributors: Yuan Luo Zhenhua Guo Yiming Sun et al.

Source: http://www.cs.indiana.edu/~yuanluo/publications/LUO_ECMLS2011.pdf.

Subject Terms: Categories and Subject Descriptors C.2.4 [Computer-Communication Networks, Distributed Systems – Distributed applications. General Terms, Design, Experimentation, Performance Keywords, AutoDock, Cloud, FutureGrid, Hierarchical MapReduce, Multi-Cluster

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.9898; http://www.cs.indiana.edu/~yuanluo/publications/LUO_ECMLS2011.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.9898
http://www.cs.indiana.edu/~yuanluo/publications/LUO_ECMLS2011.pdf

Parallel Execution of Programs as a Support for Mutation Testing: A Replication Study.

Authors: Delamaro, Márcio E. Andrade, Stevão A. de Souza, Simone R. S. et al.

Source: International Journal of Software Engineering & Knowledge Engineering; Mar2021, Vol. 31 Issue 03, p337-380, 44p

Subject Terms: DISTRIBUTED computing, SCALABILITY, COMPUTER software testing, DATA distribution, PARALLEL programming

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment.

Authors: Cao, Jianfang Wang, Min Li, Yanfei et al.

Source: PLoS ONE; 4/10/2019, Vol. 14 Issue 4, p1-18, 18p

Subject Terms: SUPPORT vector machines, CLASSIFICATION algorithms, VERNACULAR architecture, PARALLEL programming, IMAGE processing, PHYSICAL sciences

Parallel Programming Paradigms and Frameworks in Big Data Era.

Authors: Dobre, Ciprian Xhafa, Fatos

Source: International Journal of Parallel Programming; Oct2014, Vol. 42 Issue 5, p710-738, 29p

Subject Terms: PARALLEL programming, BIG data, CLOUD computing, ELECTRONIC data processing, INTERNET

SEQUENCE SIMILARITY PARALLELIZATION OVER HETEROGENEOUS COMPUTER CLUSTERS USING DATA PARALLEL PROGRAMMING MODEL.

Authors: HAJIBABA, MAJID GORGIN, SAED SHARIFI, MOHSEN

Source: Scalable Computing: Practice & Experience; Mar2017, Vol. 18 Issue 1, p51-66, 16p

Subject Terms: COMPUTER workstation clusters, PARALLEL programming, PARALLEL programs (Computer programs)

Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks.

Authors: Deeptha, R. Ramkumar, K. Venkateswaran, Sri et al.

Source: Frontiers in Neuroinformatics; 2024, p1-13, 13p

Subject Terms: ARTIFICIAL intelligence, HUMAN activity recognition, SYSTEMS design, FEEDFORWARD neural networks, DEEP learning, MOTION capture (Human mechanics)

Optimization of hadoop cluster for analyzing large-scale sequence data in bioinformatics.

Authors: Tóth, Ádám Karimi, Ramin

Source: Annales Mathematicae et Informaticae; 2019, Vol. 50, p187-202, 16p

Subject Terms: PARALLEL programming, INTERNET servers, DNA