Title :
Satisfying Data-Intensive Queries Using GPU Clusters
Author :
Young, James ; Haicheng Wu ; Yalamanchili, Sudhakar
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
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.
Keywords :
graphics processing units; program compilers; query processing; GAS; GPU cluster; compiler optimization; data-intensive query; global address space; graphics processing unit; GPU clusters; compiler optimizations; data warehousing; global address spaces;
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-6218-4
DOI :
10.1109/SC.Companion.2012.163
