MapReduce in DryadLINQ

Data-Intensive Computing on Windows HPC Server
with the DryadLINQ Framework
John Vert in 408A on Tuesday at 3:00 PM

Come get an overview of the DryadLINQ features and runtime environment, and walk through some real-world examples of DryadLINQ programs based on the familiar declarative syntax of LINQ combined with the fault-tolerant distributed graph scheduling of the Dryad runtime. Hear how DryadLINQ provides a programming model and runtime for data-parallel programs running across large clusters and partitioned data sets.

http://microsoftpdc.com/Sessions/SVR17

Thanks to  http://twitter.com/nsharp_2ch

— A.C.

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