In this informal essay, I discuss the trend toward ubiquitous parallelism, and the challenges that this trend raises for software development. I review the success of data-parallelism, including SQL and MapReduce, and speculate on the future of data-centric approaches to parallelism. This is an expanded version of a posting at GigaOm.com.
Title
Programming a Parallel Future
Published
2008-11-07
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2008-144
Type
Text
Extent
9 p
Archive
The Engineering Library
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