On a Storage System Software Stack for Extreme Scale Data Centric Computing

被引：1
|
作者：
Narasimhamurthy, Sai [1 ]
机构：
[1] Seagate Syst, Havant, England
来源：
2017 46TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING WORKSHOPS (ICPPW) | 2017年
关键词：
Exascale; Extreme Scale; Object Store; HPC I/O; Hierarchical Storage Systems; Data Centric Computing; MPI-IO; PGAS; S3;
D O I：
10.1109/ICPPW.2017.41
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an overview of a storage system software stack designed specifically for extreme scale data centric computing. The storage system software stack is designed to work for next generation storage system architectures that will need to incorporate multiple data storage device technologies. We also envision such data centric storage systems to have in-storage compute capability to make it suitable for dealing with data analytics, and, pre/post processing steps in data centric workflows. The storage system software stack indeed needs to accommodate such capability.
引用
收藏
页码：228 / 230
页数：3
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