Paper Info
Title
Central and Distributed GPU based Parallel Disk Systems for Data Intensive Applications
Abstract
Parallel disk systems are capable of fulfilling rapidly increasing demands on both large storage capacity and high I/O performance. However, it is challenging to significantly increase disk I/O bandwidth for data-intensive workloads due to (1) reliability and instant processing of data requests under dynamic workload conditions, and (2) the optimum tradeoff between system scalability and data reliability in data-intensive systems. To increase computing performance and reduce power consumption, Graphics Processing Units (GPUs) will be used. As the architectures and data processing algorithms for GPU-based parallel disk systems are still in their infancy, this research will develop novel hardware and software architectures that include parallel GPU, flash disks, and disk arrays for data-intensive applications.
Year
DOI
Venue
2014
10.1016/j.procs.2014.07.034
Procedia Computer Science
Keywords
Field
DocType
GPU,Flash disks,Parallel Disk systems.
Graphics,Disk array,Data processing,Computer science,Workload,Parallel computing,Bandwidth (signal processing),Software,Disk mirroring,Scalability
Conference
Volume
ISSN
Citations 
34
1877-0509
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Mais Nijim114414.08
soumya saha200.34
Yousef Nijim362.18