scholarly journals LLMapReduce: Multi-level map-reduce for high performance data analysis

2016 ◽  
Author(s):  
Chansup Byun ◽  
Jeremy Kepner ◽  
William Arcand ◽  
David Bestor ◽  
Bill Bergeron ◽  
...  
Keyword(s):  
Data Analysis ◽  
High Performance ◽  
Performance Data ◽  
Map Reduce ◽  
Multi Level

scholarly journals High performance data analysis for particle physics using the Gfarm file system

2008 ◽  
Vol 119 (6) ◽  
pp. 062039 ◽  
Author(s):  
S Nishida ◽  
N Katayama ◽  
I Adachi ◽  
O Tatebe ◽  
M Sato ◽  
...  
Keyword(s):  
Data Analysis ◽  
Particle Physics ◽  
High Performance ◽  
File System ◽  
Performance Data

scholarly journals Towards on-the-fly Cryo-Electron Microscopy Data Processing by High Performance Data Analysis

2018 ◽  
Vol 955 ◽  
pp. 012005 ◽  
Author(s):  
Evgeny Pichkur ◽  
Timur Baimukhametov ◽  
Anton Teslyuk ◽  
Anton Orekhov ◽  
Roman Kamyshinsky ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Data Analysis ◽  
Data Processing ◽  
High Performance ◽  
Performance Data ◽  
Cryo Electron Microscopy ◽  
Electron Microscopy Data ◽  
Microscopy Data

scholarly journals High Performance Data Analysis via Coordinated Caches

2015 ◽  
Vol 664 (9) ◽  
pp. 092008 ◽  
Author(s):  
M Fischer ◽  
C Metzlaff ◽  
E Kühn ◽  
M Giffels ◽  
G Quast ◽  
...  
Keyword(s):  
Data Analysis ◽  
High Performance ◽  
Performance Data

scholarly journals Scheduler technologies in support of high performance data analysis

2016 ◽  
Author(s):  
Albert Reuther ◽  
Chansup Byun ◽  
William Arcand ◽  
David Bestor ◽  
Bill Bergeron ◽  
...  
Keyword(s):  
Data Analysis ◽  
High Performance ◽  
Performance Data

Design of High Performance Cloud Storage Platform Based on Cheap PC Clusters Using MongoDB and Hadoop

2013 ◽  
Vol 380-384 ◽  
pp. 2050-2053
Author(s):  
Cheng Dai ◽  
Yan Ye ◽  
Tai Jun Liu ◽  
Jing Jing Zheng
Keyword(s):  
Data Analysis ◽  
Cloud Storage ◽  
High Performance ◽  
Unstructured Data ◽  
Map Reduce ◽  
Complex Data ◽  
Private Cloud ◽  
Computer Clusters ◽  
Nosql Database ◽  
Key Technologies

To lay the foundation for the high performance private cloud storage platform, this paper proposes a new cloud storage structure with horizontal scalability using MongoDB and Hadoop. MongoDB is a powerful NOSQL database which is used to construct the cloud storage platform. In certain scenarios, the map-reduce provided by MongoDB can not meet the need of the complex data analysis, especially for the mass complex unstructured data such as videos and documents. This paper introduce the key technologies in MongoDB and Hadoop, then aggregate the advantages of them to build a high performance private cloud storage infrastructure based on cheap personal computer clusters. This infrastructure combines the high horizontal scalability of MongoDB and the high-performance analysis capability from Hadoop.

Mini-apps for high performance data analysis

2016 ◽  
Author(s):  
Sreenivas R. Sukumar ◽  
Michael A. Matheson ◽  
Ramakrishnan Kannan ◽  
Seung-Hwan Lim
Keyword(s):  
Data Analysis ◽  
High Performance ◽  
Performance Data
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