MapReduce (English Wikipedia)

Lin, Jimmy (29 Apr 2013). "Monoidify! Monoids as a Design Principle for Efficient MapReduce Algorithms". arXiv:1304.7544 [cs.DC].
Bosagh Zadeh, Reza; Carlsson, Gunnar (2013). "Dimension Independent Matrix Square Using MapReduce" (PDF). Stanford University. arXiv:1304.1467. Bibcode:2013arXiv1304.1467B. Retrieved 12 July 2014.

baselinemag.com (Global: low place; English: low place)

"How Google Works". baselinemag.com. 7 July 2006. As of October, Google was running about 3,000 computing jobs per day through MapReduce, representing thousands of machine-days, according to a presentation by Dean. Among other things, these batch routines analyze the latest Web pages and update Google's indexes.

berkeley.edu (Global: 580^th place; English: 462^nd place)

amplab.cs.berkeley.edu

Zaharia, Matei; Chowdhury, Mosharaf; Franklin, Michael; Shenker, Scott; Stoica, Ion (June 2010). Spark: Cluster Computing with Working Sets (PDF). HotCloud 2010.

brown.edu (Global: 2,481^st place; English: 1,558^th place)

database.cs.brown.edu

Pavlo, Andrew; Paulson, Erik; Rasin, Alexander; Abadi, Daniel J.; DeWitt, Deavid J.; Madden, Samuel; Stonebraker, Michael. "A Comparison of Approaches to Large-Scale Data Analysis". Brown University. Retrieved 2010-01-11.

cnet.com (Global: 272^nd place; English: 225^th place)

news.cnet.com

"Google spotlights data center inner workings". cnet.com. 30 May 2008. Archived from the original on 19 October 2013. Retrieved 31 May 2008.

craig-henderson.blogspot.com (Global: low place; English: low place)

David DeWitt; Michael Stonebraker. "MapReduce: A major step backwards". craig-henderson.blogspot.com. Retrieved 2008-08-27.

csudh.edu (Global: low place; English: low place)

csc.csudh.edu

Gupta, Upa; Fegaras, Leonidas (2013-10-06). "Map-Based Graph Analysis on MapReduce" (PDF). Proceedings: 2013 IEEE International Conference on Big Data. 2013 IEEE International Conference on Big Data. Santa Clara, California: IEEE. pp. 24–30.

datacenterknowledge.com (Global: low place; English: low place)

Sverdlik, Yevgeniy (2014-06-25). "Google Dumps MapReduce in Favor of New Hyper-Scale Analytics System". Data Center Knowledge. Retrieved 2015-10-25. "We don't really use MapReduce anymore" [Urs Hölzle, senior vice president of technical infrastructure at Google]

doi.org (Global: 2^nd place; English: 2^nd place)

Wickham, Hadley (2011). "The split-apply-combine strategy for data analysis". Journal of Statistical Software. 40: 1–29. doi:10.18637/jss.v040.i01.
Lämmel, R. (2008). "Google's Map Reduce programming model — Revisited". Science of Computer Programming. 70: 1–30. doi:10.1016/j.scico.2007.07.001.
Ullman, J. D. (2012). "Designing good MapReduce algorithms". XRDS: Crossroads, the ACM Magazine for Students. 19: 30–34. doi:10.1145/2331042.2331053. S2CID 26498063.
Fegaras, Leonidas (2017). "An algebra for distributed Big Data analytics". Journal of Functional Programming. 28 e27. doi:10.1017/S0956796817000193. S2CID 44629767.
Senger, Hermes; Gil-Costa, Veronica; Arantes, Luciana; Marcondes, Cesar A. C.; Marín, Mauricio; Sato, Liria M.; da Silva, Fabrício A.B. (2015-01-01). "BSP cost and scalability analysis for MapReduce operations". Concurrency and Computation: Practice and Experience. 28 (8): 2503–2527. doi:10.1002/cpe.3628. hdl:10533/147670. ISSN 1532-0634. S2CID 33645927.
Berlińska, Joanna; Drozdowski, Maciej (2010-12-01). "Scheduling divisible MapReduce computations". Journal of Parallel and Distributed Computing. 71 (3): 450–459. doi:10.1016/j.jpdc.2010.12.004.
Ranger, C.; Raghuraman, R.; Penmetsa, A.; Bradski, G.; Kozyrakis, C. (2007). "Evaluating MapReduce for Multi-core and Multiprocessor Systems". 2007 IEEE 13th International Symposium on High Performance Computer Architecture. p. 13. CiteSeerX 10.1.1.220.8210. doi:10.1109/HPCA.2007.346181. ISBN 978-1-4244-0804-7. S2CID 12563671.
He, B.; Fang, W.; Luo, Q.; Govindaraju, N. K.; Wang, T. (2008). "Mars: a MapReduce framework on graphics processors" (PDF). Proceedings of the 17th international conference on Parallel architectures and compilation techniques – PACT '08. p. 260. doi:10.1145/1454115.1454152. ISBN 9781605582825. S2CID 207169888.
Chen, R.; Chen, H.; Zang, B. (2010). "Tiled-MapReduce: optimizing resource usages of data-parallel applications on multicore with tiling". Proceedings of the 19th international conference on Parallel architectures and compilation techniques – PACT '10. p. 523. doi:10.1145/1854273.1854337. ISBN 9781450301787. S2CID 2082196.
Tang, B.; Moca, M.; Chevalier, S.; He, H.; Fedak, G. (2010). "Towards MapReduce for Desktop Grid Computing" (PDF). 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. p. 193. CiteSeerX 10.1.1.671.2763. doi:10.1109/3PGCIC.2010.33. ISBN 978-1-4244-8538-3. S2CID 15044391.
Luo, Y.; Guo, Z.; Sun, Y.; Plale, B.; Qiu, J.; Li, W. (2011). "A Hierarchical Framework for Cross-Domain MapReduce Execution" (PDF). Proceedings of the second international workshop on Emerging computational methods for the life sciences (ECMLS '11). CiteSeerX 10.1.1.364.9898. doi:10.1145/1996023.1996026. ISBN 978-1-4503-0702-4. S2CID 15179363.
Lin, H.; Ma, X.; Archuleta, J.; Feng, W. C.; Gardner, M.; Zhang, Z. (2010). "MOON: MapReduce On Opportunistic eNvironments" (PDF). Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing – HPDC '10. p. 95. doi:10.1145/1851476.1851489. ISBN 9781605589428. S2CID 2351790.
Marozzo, F.; Talia, D.; Trunfio, P. (2012). "P2P-MapReduce: Parallel data processing in dynamic Cloud environments". Journal of Computer and System Sciences. 78 (5): 1382–1402. doi:10.1016/j.jcss.2011.12.021.
Dou, A.; Kalogeraki, V.; Gunopulos, D.; Mielikainen, T.; Tuulos, V. H. (2010). "Misco: a MapReduce framework for mobile systems". Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments – PETRA '10. p. 1. doi:10.1145/1839294.1839332. ISBN 9781450300711. S2CID 14517696.
Wang, Yandong; Goldstone, Robin; Yu, Weikuan; Wang, Teng (May 2014). "Characterization and Optimization of Memory-Resident MapReduce on HPC Systems". 2014 IEEE 28th International Parallel and Distributed Processing Symposium. IEEE. pp. 799–808. doi:10.1109/IPDPS.2014.87. ISBN 978-1-4799-3800-1. S2CID 11157612.
Chambers, Craig; Raniwala, Ashish; Perry, Frances; Adams, Stephen; Henry, Robert R.; Bradshaw, Robert; Weizenbaum, Nathan (1 January 2010). "FlumeJava". Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation (PDF). pp. 363–375. doi:10.1145/1806596.1806638. ISBN 9781450300193. S2CID 14888571. Archived from the original (PDF) on 23 September 2016. Retrieved 4 August 2016.

eff.org (Global: 3,285^th place; English: 2,156^th place)

Nazer, Daniel (28 March 2013). "Google Makes Open Patent Non-assertion Pledge and Proposes New Licensing Models". Electronic Frontier Foundation. Retrieved 21 March 2021.

ens-lyon.fr (Global: 6,599^th place; English: low place)

graal.ens-lyon.fr

Tang, B.; Moca, M.; Chevalier, S.; He, H.; Fedak, G. (2010). "Towards MapReduce for Desktop Grid Computing" (PDF). 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. p. 193. CiteSeerX 10.1.1.671.2763. doi:10.1109/3PGCIC.2010.33. ISBN 978-1-4244-8538-3. S2CID 15044391.

erikerlandson.github.io (Global: low place; English: low place)

"Encoding Map-Reduce As A Monoid With Left Folding". 5 September 2016.

github.com (Global: 383^rd place; English: 320^th place)

"Apache/Hadoop-mapreduce". GitHub. 31 August 2021.

googleresearch.blogspot.com (Global: low place; English: low place)

Czajkowski, Grzegorz; Marián Dvorský; Jerry Zhao; Michael Conley (7 September 2011). "Sorting Petabytes with MapReduce – The Next Episode". Retrieved 7 April 2014.

googleusercontent.com (Global: 243^rd place; English: 882^nd place)

static.googleusercontent.com

"MapReduce: Simplified Data Processing on Large Clusters" (PDF). googleusercontent.com.
Chambers, Craig; Raniwala, Ashish; Perry, Frances; Adams, Stephen; Henry, Robert R.; Bradshaw, Robert; Weizenbaum, Nathan (1 January 2010). "FlumeJava". Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation (PDF). pp. 363–375. doi:10.1145/1806596.1806638. ISBN 9781450300193. S2CID 14888571. Archived from the original (PDF) on 23 September 2016. Retrieved 4 August 2016.

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Senger, Hermes; Gil-Costa, Veronica; Arantes, Luciana; Marcondes, Cesar A. C.; Marín, Mauricio; Sato, Liria M.; da Silva, Fabrício A.B. (2015-01-01). "BSP cost and scalability analysis for MapReduce operations". Concurrency and Computation: Practice and Experience. 28 (8): 2503–2527. doi:10.1002/cpe.3628. hdl:10533/147670. ISSN 1532-0634. S2CID 33645927.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Bosagh Zadeh, Reza; Carlsson, Gunnar (2013). "Dimension Independent Matrix Square Using MapReduce" (PDF). Stanford University. arXiv:1304.1467. Bibcode:2013arXiv1304.1467B. Retrieved 12 July 2014.

mpitutorial.com (Global: low place; English: low place)

"MPI Reduce and Allreduce · MPI Tutorial". mpitutorial.com.
"Performing Parallel Rank with MPI · MPI Tutorial". mpitutorial.com.

patents.google.com (Global: 1,182^nd place; English: 725^th place)

"System and method for efficient large-scale data processing". Google Patents Search. 18 June 2004. Retrieved 21 March 2021.

psu.edu (Global: 207^th place; English: 136^th place)

citeseerx.ist.psu.edu

Ranger, C.; Raghuraman, R.; Penmetsa, A.; Bradski, G.; Kozyrakis, C. (2007). "Evaluating MapReduce for Multi-core and Multiprocessor Systems". 2007 IEEE 13th International Symposium on High Performance Computer Architecture. p. 13. CiteSeerX 10.1.1.220.8210. doi:10.1109/HPCA.2007.346181. ISBN 978-1-4244-0804-7. S2CID 12563671.
Tang, B.; Moca, M.; Chevalier, S.; He, H.; Fedak, G. (2010). "Towards MapReduce for Desktop Grid Computing" (PDF). 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. p. 193. CiteSeerX 10.1.1.671.2763. doi:10.1109/3PGCIC.2010.33. ISBN 978-1-4244-8538-3. S2CID 15044391.
Luo, Y.; Guo, Z.; Sun, Y.; Plale, B.; Qiu, J.; Li, W. (2011). "A Hierarchical Framework for Cross-Domain MapReduce Execution" (PDF). Proceedings of the second international workshop on Emerging computational methods for the life sciences (ECMLS '11). CiteSeerX 10.1.1.364.9898. doi:10.1145/1996023.1996026. ISBN 978-1-4503-0702-4. S2CID 15179363.

research.google.com (Global: low place; English: low place)

"Our abstraction is inspired by the map and reduce primitives present in Lisp and many other functional languages." -"MapReduce: Simplified Data Processing on Large Clusters", by Jeffrey Dean and Sanjay Ghemawat; from Google Research
"Example: Count word occurrences". Google Research. Retrieved September 18, 2013.
"Bigtable: A Distributed Storage System for Structured Data" (PDF).

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Ullman, J. D. (2012). "Designing good MapReduce algorithms". XRDS: Crossroads, the ACM Magazine for Students. 19: 30–34. doi:10.1145/2331042.2331053. S2CID 26498063.
Fegaras, Leonidas (2017). "An algebra for distributed Big Data analytics". Journal of Functional Programming. 28 e27. doi:10.1017/S0956796817000193. S2CID 44629767.
Senger, Hermes; Gil-Costa, Veronica; Arantes, Luciana; Marcondes, Cesar A. C.; Marín, Mauricio; Sato, Liria M.; da Silva, Fabrício A.B. (2015-01-01). "BSP cost and scalability analysis for MapReduce operations". Concurrency and Computation: Practice and Experience. 28 (8): 2503–2527. doi:10.1002/cpe.3628. hdl:10533/147670. ISSN 1532-0634. S2CID 33645927.
Ranger, C.; Raghuraman, R.; Penmetsa, A.; Bradski, G.; Kozyrakis, C. (2007). "Evaluating MapReduce for Multi-core and Multiprocessor Systems". 2007 IEEE 13th International Symposium on High Performance Computer Architecture. p. 13. CiteSeerX 10.1.1.220.8210. doi:10.1109/HPCA.2007.346181. ISBN 978-1-4244-0804-7. S2CID 12563671.
He, B.; Fang, W.; Luo, Q.; Govindaraju, N. K.; Wang, T. (2008). "Mars: a MapReduce framework on graphics processors" (PDF). Proceedings of the 17th international conference on Parallel architectures and compilation techniques – PACT '08. p. 260. doi:10.1145/1454115.1454152. ISBN 9781605582825. S2CID 207169888.
Chen, R.; Chen, H.; Zang, B. (2010). "Tiled-MapReduce: optimizing resource usages of data-parallel applications on multicore with tiling". Proceedings of the 19th international conference on Parallel architectures and compilation techniques – PACT '10. p. 523. doi:10.1145/1854273.1854337. ISBN 9781450301787. S2CID 2082196.
Tang, B.; Moca, M.; Chevalier, S.; He, H.; Fedak, G. (2010). "Towards MapReduce for Desktop Grid Computing" (PDF). 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. p. 193. CiteSeerX 10.1.1.671.2763. doi:10.1109/3PGCIC.2010.33. ISBN 978-1-4244-8538-3. S2CID 15044391.
Luo, Y.; Guo, Z.; Sun, Y.; Plale, B.; Qiu, J.; Li, W. (2011). "A Hierarchical Framework for Cross-Domain MapReduce Execution" (PDF). Proceedings of the second international workshop on Emerging computational methods for the life sciences (ECMLS '11). CiteSeerX 10.1.1.364.9898. doi:10.1145/1996023.1996026. ISBN 978-1-4503-0702-4. S2CID 15179363.
Lin, H.; Ma, X.; Archuleta, J.; Feng, W. C.; Gardner, M.; Zhang, Z. (2010). "MOON: MapReduce On Opportunistic eNvironments" (PDF). Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing – HPDC '10. p. 95. doi:10.1145/1851476.1851489. ISBN 9781605589428. S2CID 2351790.
Dou, A.; Kalogeraki, V.; Gunopulos, D.; Mielikainen, T.; Tuulos, V. H. (2010). "Misco: a MapReduce framework for mobile systems". Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments – PETRA '10. p. 1. doi:10.1145/1839294.1839332. ISBN 9781450300711. S2CID 14517696.
Wang, Yandong; Goldstone, Robin; Yu, Weikuan; Wang, Teng (May 2014). "Characterization and Optimization of Memory-Resident MapReduce on HPC Systems". 2014 IEEE 28th International Parallel and Distributed Processing Symposium. IEEE. pp. 799–808. doi:10.1109/IPDPS.2014.87. ISBN 978-1-4799-3800-1. S2CID 11157612.
Chambers, Craig; Raniwala, Ashish; Perry, Frances; Adams, Stephen; Henry, Robert R.; Bradshaw, Robert; Weizenbaum, Nathan (1 January 2010). "FlumeJava". Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation (PDF). pp. 363–375. doi:10.1145/1806596.1806638. ISBN 9781450300193. S2CID 14888571. Archived from the original (PDF) on 23 September 2016. Retrieved 4 August 2016.

softwarepreservation.org (Global: low place; English: low place)

"Supplement to the *Lisp Reference Manual" (PDF). Thinking Machines Corporation. 1988-09-01. Retrieved 2022-11-21.

stackoverflow.com (Global: 4,643^rd place; English: 2,973^rd place)

"MongoDB: Terrible MapReduce Performance". Stack Overflow. October 16, 2010. The MapReduce implementation in MongoDB has little to do with map reduce apparently. Because for all I read, it is single-threaded, while map-reduce is meant to be used highly parallel on a cluster. ... MongoDB MapReduce is single threaded on a single server...

stanford.edu (Global: 179^th place; English: 183^rd place)

Bosagh Zadeh, Reza; Carlsson, Gunnar (2013). "Dimension Independent Matrix Square Using MapReduce" (PDF). Stanford University. arXiv:1304.1467. Bibcode:2013arXiv1304.1467B. Retrieved 12 July 2014.

trailing-edge.com (Global: low place; English: 8,128^th place)

bitsavers.trailing-edge.com

"Connection Machine Model CM-2 Technical Summary" (PDF). Thinking Machines Corporation. 1987-04-01. Retrieved 2022-11-21.

twitter.github.io (Global: low place; English: low place)

"Abstract Algebra for Scala".

typicalprogrammer.com (Global: low place; English: low place)

"Database Experts Jump the MapReduce Shark".
Greg Jorgensen. "Relational Database Experts Jump The MapReduce Shark". typicalprogrammer.com. Retrieved 2009-11-11.

ufl.edu (Global: 921^st place; English: 644^th place)

cise.ufl.edu

Ranka, Sanjay (1989). "2.6 Data Sum". Hypercube Algorithms for Image Processing and Pattern Recognition (PDF). University of Florida. Retrieved 2022-12-08.

uspto.gov (Global: 1,459^th place; English: 991^st place)

patft.uspto.gov

"United States Patent: 7650331 - System and method for efficient large-scale data processing". uspto.gov. Archived from the original on 2013-09-21. Retrieved 2010-01-19.

utah.edu (Global: 2,446^th place; English: 1,661^st place)

collections.lib.utah.edu

"Rediflow Architecture Prospectus" (PDF). University of Utah Department of Computer Science. 1986-04-05. Retrieved 2022-11-21.

vt.edu (Global: 2,431^st place; English: 1,607^th place)

eprints.cs.vt.edu

Lin, H.; Ma, X.; Archuleta, J.; Feng, W. C.; Gardner, M.; Zhang, Z. (2010). "MOON: MapReduce On Opportunistic eNvironments" (PDF). Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing – HPDC '10. p. 95. doi:10.1145/1851476.1851489. ISBN 9781605589428. S2CID 2351790.

web.archive.org (Global: 1^st place; English: 1^st place)

"Google spotlights data center inner workings". cnet.com. 30 May 2008. Archived from the original on 19 October 2013. Retrieved 31 May 2008.
Ng, Andrew Y.; Bradski, Gary; Chu, Cheng-Tao; Olukotun, Kunle; Kim, Sang Kyun; Lin, Yi-An; Yu, YuanYuan (2006). "Map-Reduce for Machine Learning on Multicore". NIPS 2006. Archived from the original on 2010-06-20. Retrieved 2009-11-24.
Chambers, Craig; Raniwala, Ashish; Perry, Frances; Adams, Stephen; Henry, Robert R.; Bradshaw, Robert; Weizenbaum, Nathan (1 January 2010). "FlumeJava". Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation (PDF). pp. 363–375. doi:10.1145/1806596.1806638. ISBN 9781450300193. S2CID 14888571. Archived from the original (PDF) on 23 September 2016. Retrieved 4 August 2016.
"United States Patent: 7650331 - System and method for efficient large-scale data processing". uspto.gov. Archived from the original on 2013-09-21. Retrieved 2010-01-19.

wenbin.org (Global: low place; English: low place)

He, B.; Fang, W.; Luo, Q.; Govindaraju, N. K.; Wang, T. (2008). "Mars: a MapReduce framework on graphics processors" (PDF). Proceedings of the 17th international conference on Parallel architectures and compilation techniques – PACT '08. p. 260. doi:10.1145/1454115.1454152. ISBN 9781605582825. S2CID 207169888.

willowgarage.com (Global: low place; English: low place)

Ng, Andrew Y.; Bradski, Gary; Chu, Cheng-Tao; Olukotun, Kunle; Kim, Sang Kyun; Lin, Yi-An; Yu, YuanYuan (2006). "Map-Reduce for Machine Learning on Multicore". NIPS 2006. Archived from the original on 2010-06-20. Retrieved 2009-11-24.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Senger, Hermes; Gil-Costa, Veronica; Arantes, Luciana; Marcondes, Cesar A. C.; Marín, Mauricio; Sato, Liria M.; da Silva, Fabrício A.B. (2015-01-01). "BSP cost and scalability analysis for MapReduce operations". Concurrency and Computation: Practice and Experience. 28 (8): 2503–2527. doi:10.1002/cpe.3628. hdl:10533/147670. ISSN 1532-0634. S2CID 33645927.

yuanluo.net (Global: low place; English: low place)

Luo, Y.; Guo, Z.; Sun, Y.; Plale, B.; Qiu, J.; Li, W. (2011). "A Hierarchical Framework for Cross-Domain MapReduce Execution" (PDF). Proceedings of the second international workshop on Emerging computational methods for the life sciences (ECMLS '11). CiteSeerX 10.1.1.364.9898. doi:10.1145/1996023.1996026. ISBN 978-1-4503-0702-4. S2CID 15179363.

zdnet.com (Global: 786^th place; English: 558^th place)

King, Rachel (2013). "Google expands open patent pledge to 79 more about data center management". ZDNet. Retrieved 21 March 2021.

MapReduce (English Wikipedia)

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harvard.edu (Global: 18^th place; English: 17^th place)

patents.google.com (Global: 1,182^nd place; English: 725^th place)

psu.edu (Global: 207^th place; English: 136^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

stackoverflow.com (Global: 4,643^rd place; English: 2,973^rd place)

stanford.edu (Global: 179^th place; English: 183^rd place)

trailing-edge.com (Global: low place; English: 8,128^th place)

ufl.edu (Global: 921^st place; English: 644^th place)

uspto.gov (Global: 1,459^th place; English: 991^st place)

utah.edu (Global: 2,446^th place; English: 1,661^st place)

vt.edu (Global: 2,431^st place; English: 1,607^th place)

web.archive.org (Global: 1^st place; English: 1^st place)

worldcat.org (Global: 5^th place; English: 5^th place)

zdnet.com (Global: 786^th place; English: 558^th place)