"Parallelization of Sparse Matrix Kernels for Big Data Applications"

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Book	Author(s)	Year	Publisher
Sparse Matrix Computations	James R. Bunch and Donald J. Rose	1976	Academic Press
Sparse Matrix Technology	Sergio Pissanetzky	1984	Academic Press
Sparse matrix inversion	K. Ratliff	1971	Dept. of Computer Science, University of Illinois
Kernels for structured data	Thomas Gärtner	2008	World Scientific
Sparse matrix proceedings,1978	Symposium on Sparse Matrix Computations (1978 Knoxville, Tenn.)	1979	SIAM
Data intensive computing applications for big data /	Mittal, Mamta,; Balas, Valentina Emilia,; Hemanth, D. Jude,; Kumar, Raghvendra,
Sparse Matrix Techniques: Copenhagen 1976	V.A. Barker	1977	Springer Berlin Heidelberg
Sublinear Algorithms for Big Data Applications	Dan Wang; Zhu Han	1st ed. 2015	Springer International Publishing
Big Data Intelligence for Smart Applications	Youssef Baddi; Youssef Gahi; Yassine Maleh; Mamoun Alazab; Loai Tawalbeh	1st ed. 2022	Springer International Publishing
Building Big Data Applications	Krish Krishnan	2020	Academic Press
Graph Theory and Sparse Matrix Computation	Jean R. S. Blair, Barry Peyton (auth.), Alan George, John R. Gilbert, Joseph W. H. Liu (eds.)	1993	Springer-Verlag New York
Graph theory and sparse matrix computation /	George, Alan.; Gilbert, J. R.; Liu, Joseph W. H.	[1993], ©1993.	Springer-Verlag,
Graph Theory and Sparse Matrix Computation	Alan George; John R. Gilbert; Joseph W. H. Liu	1993	Springer New York
Technologies and Applications for Big Data Value	Edward Curry; Sören Auer; Arne J. Berre; Andreas Metzger; Maria S. Perez; Sonja Zillner	1st ed. 2022	Springer International Publishing
Applications of Big Data in Healthcare	Ashish Khanna; Deepak Gupta and Nilanjan Dey	2021	Academic Press
Practical Applications of Sparse Modeling	Irina Rish; Guillermo A. Cecchi; Aurelie Lozano; Alexandru Niculescu-Mizil; Pablo Meyer; Saharon Rosset; Eric P. Xing; Mladen Kolar; Seyoung Kim; Xi Chen; Martin Slawski; Matthias Hein; Stephen C. Strother; Peter M. Rasmussen; Nathan W. Churchill; Lars Kai Hansen; Melissa K. Carroll; Rahul Garg; Marwan Baliki; A. Vania Apkarian; Matthew L. Malloy; Robert D. Nowak; Volkan Cevher; Sina Jafarpour; Anastasios Kyrillidis; Shakir Mohamed; Katherine Heller; Zoubin Ghahramani; Jagannadan Varadarajan; Rémi Emonet; Jean-Marc Odobez; Irina Rish; Guillermo A. Cecchi; Aurelie Lozano; Alexandru Niculescu-Mizil	2014	MIT Press
Practical Applications of Sparse Modeling	Irina Rish; Guillermo A. Cecchi; Aurelie Lozano; Alexandru Niculescu-Mizil	2014	The MIT Press,
Big Data Technologies and Applications	Borko Furht; Flavio Villanustre	1st ed. 2016	Springer International Publishing
Guide to Big Data Applications	S. Srinivasan	1st ed. 2018	Springer International Publishing
Big Data in Engineering Applications	Sanjiban Sekhar Roy; Pijush Samui; Ravinesh Deo; Stavros Ntalampiras	1st ed. 2018	Springer Nature Singapore
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Parallelization of Sparse Matrix Kernels for Big Data Applications	Oguz Selvitopi; Kadir Akbudak; Cevdet Aykanat	Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques	Florin Pop; Joanna Kołodziej; Beniamino Di Martino	1st ed. 2016	Springer International Publishing
Optimizing Sparse Matrix Storage for the Big Data Era	Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti	Cloud Computing, Big Data & Emerging Topics: 9th Conference, JCC-BD& ET, La Plata, Argentina, June 22-25, 2021, Proceedings	Marcelo Naiouf; Enzo Rucci; Franco Chichizola; Laura De Giusti	1st ed. 2021	Springer International Publishing
The Sparse Data Matrix		Introduction to Data Mining	Vipin Kumar, Pang-Ning Tan, Michael Steinback, Anuj Karpatne	2018	Pearson
Data Structure for Sparse Matrix Computation	S. A. Soman; S. A. Khaparde; Shubha Pandit	Computational Methods for Large Sparse Power Systems Analysis: An Object Oriented Approach	S.A. Soman; S.A. Khaparde; Shubha Pandit	2002	Springer US
SVM with CUDA Accelerated Kernels for Big Sparse Problems	Krzysztof Sopyła; Paweł Drozda; Przemysław Górecki	Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part I	Leszek Rutkowski; Marcin Korytkowski; Rafał Scherer; Ryszard Tadeusiewicz; Lotfi Zadeh; Jacek Zurada	2012	Springer Berlin Heidelberg
Automatic Parallelization of Sparse Matrix Computations: A Static Analysis	Roxane Adle; Marc Aiguier; Franck Delaplace	Euro-Par 2000 Parallel Processing: 6th International Euro-Par Conference Munich, Germany, August 29 – September 1, 2000 Proceedings	Arndt Bode; Thomas Ludwig; Wolfgang Karl; Roland Wismüller	2000	Springer Berlin Heidelberg
Sparse representation of big climate data	Zhihua Zhang; Jianping Li	Big Data Mining for Climate Change	Jianping Li andZhihua Zhang	2020	Elsevier
Applications of Big Data	Jay Gohil; Manan Shah	Application of Big Data in Petroleum Streams	Jay Gohil; Manan Shah	2022	Routledge
Applications of Big Data	Hareesh Boinepelli	Big Data: A Primer	Hrushikesha Mohanty; Prachet Bhuyan; Deepak Chenthati	2015	Springer India
Applications of big data		Learning Data Mining with Python - Second Edition (English Edition)	Robert Layton	2017	Packt Publishing
Applications of big data		Learning Data Mining with Python	Robert Layton	2017	Packt
Sparse Matrix		Encyclopedia of Operations Research and Management Science	Saul I. Gass; Michael C. Fu	3rd ed. 2013	Springer US
Sparse matrix	Saul I. Gass; Carl M. Harris	Encyclopedia of Operations Research and Management Science	Saul I. Gass; Carl M. Harris	2nd ed. 2001	Springer US
Sparse Matrix		The Concise Oxford Dictionary of Mathematics (Oxford Quick Reference)	Richard Earl, James Nicholson	2021	Oxford University Press
Sparse Matrix		Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics	Thomas Nield	2022	O'Reilly Media
Sparse Matrix		Engineering and Scientific Subroutine Library for AIX: Guide and Reference	IBM	2000	IBM
Sparse Matrix		Engineering and Scientific Subroutine Library for AIX, Version 4 Release 1, and Linux on pSeries, Version 4 Release 1: Guide and Reference	coll.	2003	IBM
Sparse Matrix		IBM Engineering and Scientific Subroutine Library for AIX, Version 5 Release 1, and IBM Engineering and Scientific Subroutine Library for Linux on POWER, Version 5 Release 1. 1: Version 5. 1 Release 1: ESSL Guide and Reference	coll.	2012	IBM
Sparse Matrix		Data Structure and Algorithms Using C++ - A Practical Implementation	Sachi Nandan Mohanty; Pabitra Kumar Tripathy	2021	John Wiley & Sons
Big Data Applications	Min Chen; Shiwen Mao; Yin Zhang; Victor C. M. Leung	Big Data: Related Technologies, Challenges and Future Prospects	Min Chen; Shiwen Mao; Yin Zhang; Victor C.M. Leung	2014	Springer International Publishing
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