Arora, Ritu
Conquering Big Data with High Performance Computing
1. An Introduction to Big Data, High Performance Computing, High-Throughput Computing, and Hadoop
Ritu Arora
2. Using High Performance Computing for Conquering Big Data
Antonio Gómez-Iglesias, Ritu Arora
3. Data Movement in Data-Intensive High Performance Computing
Pietro Cicotti, Sarp Oral, Gokcen Kestor, Roberto Gioiosa, Shawn Strande, Michela Taufer, James H. Rogers, Hasan Abbasi, Jason Hill, Laura Carrington
4. Using Managed High Performance Computing Systems for High-Throughput Computing
Lucas A. Wilson
5. Accelerating Big Data Processing on Modern HPC Clusters
Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat Islam, Dipti Shankar, Dhabaleswar K. (DK) Panda
6.
Rosa Filgueira, Malcolm P. Atkinson, Amrey Krause
7. Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters
Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu
8. Big Data Behind Big Data
Elizabeth Bautista, Cary Whitney, Thomas Davis
9. Empowering R with High Performance Computing Resources for Big Data Analytics
Weijia Xu, Ruizhu Huang, Hui Zhang, Yaakoub El-Khamra, David Walling
10. Big Data Techniques as a Solution to Theory Problems
Richard W. Evans, Kenneth L. Judd, Kramer Quist
11. High-Frequency Financial Statistics Through High-Performance Computing
Jian Zou, Hui Zhang
12. Large-Scale Multi-Modal Data Exploration with Human in the Loop
Guangchen Ruan, Hui Zhang
13. Using High Performance Computing for Detecting Duplicate, Similar and Related Images in a Large Data Collection
Ritu Arora, Jessica Trelogan, Trung Nguyen Ba
14. Big Data Processing in the eDiscovery Domain
Sukrit Sondhi, Ritu Arora
15. Databases and High Performance Computing
Ritu Arora, Sukrit Sondhi
16. Conquering Big Data Through the Usage of the Wrangler Supercomputer
Jorge Salazar
Keywords: Computer Science, Database Management, Computer System Implementation, Data Structures
- Editor
- Arora, Ritu
- Publisher
- Springer
- Publication year
- 2016
- Language
- en
- Edition
- 1
- Page amount
- 8 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9783319337425
- Printed ISBN
- 978-3-319-33740-1