%0 Conference Paper %1 conf/ccgrid/PaudelP22 %A Paudel, Anmol %A Puri, Satish %B CCGRID %D 2022 %I IEEE %K dblp %P 544-554 %T Accelerating Spatial Autocorrelation Computation with Parallelization, Vectorization and Memory Access Optimization: With a focus on rapid recalculation of COVID related spatial statistics for faster geospatial analysis and response. %U http://dblp.uni-trier.de/db/conf/ccgrid/ccgrid2022.html#PaudelP22 %@ 978-1-6654-9956-9

@inproceedings{conf/ccgrid/PaudelP22, added-at = {2023-03-21T00:00:00.000+0100}, author = {Paudel, Anmol and Puri, Satish}, biburl = {https://www.bibsonomy.org/bibtex/21ac40ad0289dadd04928bcd4a80ddb13/dblp}, booktitle = {CCGRID}, crossref = {conf/ccgrid/2022}, ee = {https://doi.org/10.1109/CCGrid54584.2022.00064}, interhash = {3335424076edf4a2ce5390abafc24738}, intrahash = {1ac40ad0289dadd04928bcd4a80ddb13}, isbn = {978-1-6654-9956-9}, keywords = {dblp}, pages = {544-554}, publisher = {IEEE}, timestamp = {2024-04-09T20:39:28.000+0200}, title = {Accelerating Spatial Autocorrelation Computation with Parallelization, Vectorization and Memory Access Optimization: With a focus on rapid recalculation of COVID related spatial statistics for faster geospatial analysis and response.}, url = {http://dblp.uni-trier.de/db/conf/ccgrid/ccgrid2022.html#PaudelP22}, year = 2022 }