Satisfying Data-Intensive Queries Using GPU Clusters
Jeffrey Young, Haicheng Wu, Sudhakar Yalamanchili. “Satisfying Data-Intensive Queries Using GPU Clusters.” 2nd Annual Workshop on High-Performance Computing meets Databases. November 2012.
Abstract
Data-intensive queries should be run on GPU clusters to increase throughput, and Global Address Spaces (GAS) should be used to support compiler optimizations that can increase total throughput by fully utilizing memory and GPUs across nodes in the cluster.
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Citation
@inproceedings{young_wu_hpcdb_2012,
author = {Young, Jeffrey and Wu, Haicheng and Yalamanchili, Sudhakar},
title = {Satisfying Data-Intensive Queries Using GPU Clusters},
booktitle = {Proceedings of the 2nd Annual Workshop on High-Performance Computing meets Databases},
year = {2012},
numpages = {1}
}
author = {Young, Jeffrey and Wu, Haicheng and Yalamanchili, Sudhakar},
title = {Satisfying Data-Intensive Queries Using GPU Clusters},
booktitle = {Proceedings of the 2nd Annual Workshop on High-Performance Computing meets Databases},
year = {2012},
numpages = {1}
}
