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start [2014/07/07 15:20]
yun [Tutorial / Examples]
start [2016/05/19 14:18]
swetha
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 ====== Introduction ====== ====== Introduction ======
  
-AlphaZ is an open source tool-set for program analysis, transformation and parallelization in the Polyhedral Equational Model.  It is being developed by the Mélange group at CSU, and uses an equational language called Alpha/Alphabets.+AlphaZ is an open source tool-set for program analysis, transformation and parallelization in the Polyhedral Equational Model.  It is being developed by the Mélange group ([[melange:schedule:summer2016|See schedule]]) at CSU, and uses an equational language called Alpha/Alphabets.
  
 AlphaZ is a general framework for analysis, transformation and code generation in the Polyhedral Equational Model. The input "program" consists of one or more mathematical equations that specify just //**what**// needs to be computed.  It can be viewed as a specification. In order to produce a (conventional/imperative) program that //implements// this specification, one needs to specify a schedule (when), a processor allocation (who), and a memory allocation (where to store).  Actually, even this is not strictly necessary.  We also have a "memoized demand driven" code generator that produces executable code in the absence of any schedule or memory/processor allocation information. AlphaZ is a general framework for analysis, transformation and code generation in the Polyhedral Equational Model. The input "program" consists of one or more mathematical equations that specify just //**what**// needs to be computed.  It can be viewed as a specification. In order to produce a (conventional/imperative) program that //implements// this specification, one needs to specify a schedule (when), a processor allocation (who), and a memory allocation (where to store).  Actually, even this is not strictly necessary.  We also have a "memoized demand driven" code generator that produces executable code in the absence of any schedule or memory/processor allocation information.
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 ====== Tutorial / Examples ===== ====== Tutorial / Examples =====
-List of Commands http://www.cs.colostate.edu/AlphaZ/AlphaZCommandRefV2.pdf\\+List of Commands http://www.cs.colostate.edu/AlphaZ/AlphaZCommandRefV4.pdf\\
 Tutorial using LU decomposition [[Tutorial LUD]].\\ Tutorial using LU decomposition [[Tutorial LUD]].\\
 Tutorial on how to use external functions [[Tutorial External Function]].\\ Tutorial on how to use external functions [[Tutorial External Function]].\\
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 Example of how to use [[Schedule Code Generator]].\\ Example of how to use [[Schedule Code Generator]].\\
 List of [[Code Gen Options]].\\ List of [[Code Gen Options]].\\
-Example of how to use [[Schedule Code Generator for code for SubSystem]].\\+Examples of how to use [[Schedule Code Generator for code with SubSystem]].\\ 
 +Examples of how to use [[Tiled Code Generator (DTiler)]].\\
 Tutorial on transformations of reductions [[Reduction Tutorial]].\\ Tutorial on transformations of reductions [[Reduction Tutorial]].\\
 How to run compiler scripts from terminal. [[Command Line AlphaZ]] How to run compiler scripts from terminal. [[Command Line AlphaZ]]
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 The //**polyhedral model**// is a framework for analysis and transformations of programs, extensively used for high-level loop optimizations in compilers today. The //polyhedral **equational** model// has the same goals, but focuses on equational/functional programming. The model provides the ability to reason mathematically about programs, their dependences, and semantics. This has lead to a number of very powerful tools for automatic parallelization. By design, the model is applicable to a limited class of programs: dense, regular, computations (the so-called //affine// computations).  However, such programs are very widespread, and constitute the compute- and data-intensive kernels in most applications. The //**polyhedral model**// is a framework for analysis and transformations of programs, extensively used for high-level loop optimizations in compilers today. The //polyhedral **equational** model// has the same goals, but focuses on equational/functional programming. The model provides the ability to reason mathematically about programs, their dependences, and semantics. This has lead to a number of very powerful tools for automatic parallelization. By design, the model is applicable to a limited class of programs: dense, regular, computations (the so-called //affine// computations).  However, such programs are very widespread, and constitute the compute- and data-intensive kernels in most applications.
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start.txt · Last modified: 2018/10/23 09:27 by sanjay