A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Dax Toolkit: A proposed framework for data analysis and visualization at Extreme Scale
2011
2011 IEEE Symposium on Large Data Analysis and Visualization
Experts agree that the exascale machine will comprise processors that contain many cores, which in turn will necessitate a much higher degree of concurrency. Software will require a minimum of a 1,000 times more concurrency. Most parallel analysis and visualization algorithms today work by partitioning data and running mostly serial algorithms concurrently on each data partition. Although this approach lends itself well to the concurrency of current high-performance computing, it does not
doi:10.1109/ldav.2011.6092323
dblp:conf/ldav/MorelandAGM11
fatcat:yh7xmidimvd4jckbrjryg256dq