TY - GEN
T1 - Runtime system design of decoupled execution paradigm for data-intensive high-end computing
AU - Feng, Kun
AU - Yin, Yanlong
AU - Chen, Chao
AU - Eslami, Hassan
AU - Sun, Xian He
AU - Chen, Yong
AU - Thakur, Rajeev
AU - Gropp, William
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1109/CLUSTER.2013.6702642
DO - 10.1109/CLUSTER.2013.6702642
M3 - Conference contribution
AN - SCOPUS:84893604175
SN - 9781479908981
T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC
BT - 2013 IEEE International Conference on Cluster Computing, CLUSTER 2013
T2 - 15th IEEE International Conference on Cluster Computing, CLUSTER 2013
Y2 - 23 September 2013 through 27 September 2013
ER -