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Conquering Big Data with High Performance Computing
other
Editor(s):
Ritu Arora
Publication date
(Print):
2016
Publisher:
Springer International Publishing
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ISBN (Print):
978-3-319-33740-1
ISBN (Electronic):
978-3-319-33742-5
Publication date (Print):
2016
DOI:
10.1007/978-3-319-33742-5
SO-VID:
29dab35a-bece-47ba-853d-bd099ce66f49
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Book chapters
pp. 1
An Introduction to Big Data, High Performance Computing, High-Throughput Computing, and Hadoop
pp. 13
Using High Performance Computing for Conquering Big Data
pp. 31
Data Movement in Data-Intensive High Performance Computing
pp. 61
Using Managed High Performance Computing Systems for High-Throughput Computing
pp. 81
Accelerating Big Data Processing on Modern HPC Clusters
pp. 109
dispel4py: Agility and Scalability for Data-Intensive Methods Using HPC
pp. 139
Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters
pp. 163
Big Data Behind Big Data
pp. 191
Empowering R with High Performance Computing Resources for Big Data Analytics
pp. 219
Big Data Techniques as a Solution to Theory Problems
pp. 233
High-Frequency Financial Statistics Through High-Performance Computing
pp. 253
Large-Scale Multi-Modal Data Exploration with Human in the Loop
pp. 269
Using High Performance Computing for Detecting Duplicate, Similar and Related Images in a Large Data Collection
pp. 287
Big Data Processing in the eDiscovery Domain
pp. 309
Databases and High Performance Computing
pp. 321
Conquering Big Data Through the Usage of the Wrangler Supercomputer
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