Runtime system design of decoupled execution paradigm for data-intensive high-end computing

Kun Feng, Yanlong Yin, Chao Chen, Hassan Eslami, Xian He Sun, Yong Chen, Rajeev Thakur, William Gropp

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

High performance computing are widely used for scientific discoveries by running scientific computation programs. Many of these applications are getting more and more data intensive [1]. They generate or access huge amount of data during some execution phases. However, traditional supercomputers are designed for computing-intensive tasks. They usually have highdensity clusters of processing cores and their storage systems are placed remotely and connected to the computing clusters with networks. This separation of the computing system and the storage system causes the data Input/Output performance bottleneck, especially for the data-intensive phases of HPC applications. This bottleneck degrades the HPC system's efficiency.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Cluster Computing, CLUSTER 2013
DOIs
StatePublished - 2013
Event15th IEEE International Conference on Cluster Computing, CLUSTER 2013 - Indianapolis, IN, United States
Duration: Sep 23 2013Sep 27 2013

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Conference

Conference15th IEEE International Conference on Cluster Computing, CLUSTER 2013
Country/TerritoryUnited States
CityIndianapolis, IN
Period09/23/1309/27/13

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