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Efficient relational database management using graphics processors
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Source Data Management On New Hardware archive
Proceedings of the 1st international workshop on Data management on new hardware table of contents
Baltimore, Maryland
SESSION: Invited paper table of contents
Article No. 1  
Year of Publication: 2005
Authors
Naga K. Govindaraju  The University of North Carolina at Chapel Hill
Dinesh Manocha  The University of North Carolina at Chapel Hill
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 41,   Citation Count: 1
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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[7] Ext_depth_bounds_test specification, 2003. http://www.nvidia.com/dev_content/nvopenglspecs/ GL_EXT_depth_bounds_test.txt.
 
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[10] N. Govindaraju, N. Raghuvanshi, M. Henson, and D. Manocha. A cache-efficient sorting algorithm for database and data mining computations using graphics processors. Technical report, University of North Carolina-Chapel Hill, 2005.
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[12] Gpubench. http://graphics.stanford.edu/projects/gpubench/.
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[16] A. Lastra, M. Lin, and D. Manocha. Gpgp: General purpose computation using graphics processors. http://www.cs.unc.edu/Events/Conferences/GP2, 2004.
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Collaborative Colleagues:
Naga K. Govindaraju: colleagues
Dinesh Manocha: colleagues