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Dryad (programming)

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Dryad was a research project at Microsoft Research for a general purpose runtime for execution of data parallel applications Microsoft made several preview releases of this technology available as add-ons to Windows HPC Server 2008 R2 However, in October 2011, Microsoft discontinued active development on Dryad, shifting focus to the Apache Hadoop framework123

An application written for Dryad is modeled as a directed acyclic graph DAG The DAG defines the dataflow of the application, and the vertices of the graph defines the operations that are to be performed on the data The "computational vertices" are written using sequential constructs, devoid of any concurrency or mutual exclusion semantics The Dryad runtime parallelizes the dataflow graph by distributing the computational vertices across various execution engines which can be multiple processor cores on the same computer or different physical computers connected by a network, as in a cluster Scheduling of the computational vertices on the available hardware is handled by the Dryad runtime, without any explicit intervention by the developer of the application or administrator of the network The flow of data between one computational vertex to another is implemented by using communication "channels" between the vertices, which in physical implementation is realized by TCP/IP streams, shared memory or temporary files A stream is used at runtime to transport a finite number of structured Items

Dryad defines a domain-specific language, which is implemented via a C++ library, that is used to create and model a Dryad execution graph Computational vertices are written using standard C++ constructs To make them accessible to the Dryad runtime, they must be encapsulated in a class that inherits from the GraphNode base class The graph is defined by adding edges; edges are added by using a composition operator defined by Dryad that connects two graphs or two nodes of a graph with an edge Managed code wrappers for the Dryad API can also be written

There exist several high-level language compilers which use Dryad as a runtime; examples include Scope Structured Computations Optimized for Parallel Execution and DryadLINQ


  1. ^ Patee, Don "Announcing the Windows Azure HPC Scheduler and HPC Pack 2008 R2 Service Pack 3 releases!" Microsoft Retrieved 2013-05-31 
  2. ^ Foley, Mary Joe "Microsoft drops Dryad; puts its big-data bets on Hadoop" ZDNet Retrieved 2013-05-31 
  3. ^ Henschen, Doug "Microsoft Ditches Dryad, Focuses On Hadoop" Information Week Retrieved 2013-05-31 
  • "DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language" PDF Microsoft Research Retrieved 2009-01-21 
  • "Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks" PDF Microsoft Research Retrieved 2007-12-04 
  • "SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets" PDF Microsoft Research Retrieved 2009-01-21 

External linksedit

  • Dryad: Programming the Data Center
  • Dryad Home
  • Video of Michael Isard explaining Dryad at Google

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