Abstract Relational databases remain an important application
domain for organizing and analyzing the massive volume of data
generated as sensor technology, retail and inventory
transactions, social media, computer vision, and new fields
continue to evolve. At the ...
%0 Report
%1 Diamos2012-gs
%A Diamos, Gregory Frederick
%A Wu, Haicheng
%A Lele, Ashwin
%A Wang, Jin
%D 2012
%K Algorithm Expose GPU
%N 12-01
%T Efficient relational algebra algorithms and data structures
for gpu
%X Abstract Relational databases remain an important application
domain for organizing and analyzing the massive volume of data
generated as sensor technology, retail and inventory
transactions, social media, computer vision, and new fields
continue to evolve. At the ...
@techreport{Diamos2012-gs,
abstract = {Abstract Relational databases remain an important application
domain for organizing and analyzing the massive volume of data
generated as sensor technology, retail and inventory
transactions, social media, computer vision, and new fields
continue to evolve. At the ...},
added-at = {2015-05-21T14:21:57.000+0200},
author = {Diamos, Gregory Frederick and Wu, Haicheng and Lele, Ashwin and Wang, Jin},
biburl = {https://www.bibsonomy.org/bibtex/256499e6db0d362844ceb71a21ccdc3ff/christophv},
institution = {Georgia Institute of Technology},
interhash = {e768d16287832a049f3fb22dca4add89},
intrahash = {56499e6db0d362844ceb71a21ccdc3ff},
keywords = {Algorithm Expose GPU},
number = {12-01},
timestamp = {2016-01-04T14:22:08.000+0100},
title = {Efficient relational algebra algorithms and data structures
for gpu},
year = 2012
}