A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf
.
Watershed reengineering: Making Streams Programmable
2014
2014 International Symposium on Computer Architecture and High Performance Computing Workshop
Most high-performance data processing (aka bigdata) systems allow users to express their computation using abstractions (like map-reduce) that simplify the extraction of parallelism from applications. Most frameworks, however, do not allow users to specify how communication must take place: that element is deeply embedded into the run-time system (RTS), making changes hard to implement. In this work we describe our reengineering of the Watershed system, a framework based on the filter-stream
doi:10.1109/sbac-padw.2014.31
dblp:conf/sbac-pad/RochaFMG14
fatcat:2srmxfpnnfff3etfq7k6mkt36i