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Regent: a Language for Implicit Dataflow Parallelism | Regent

Is a language for implicit dataflow parallelism. Regent discovers dataflow parallelism in sequential code by computing a dependence graph over tasks, like the one below. Tasks execute as soon as all dependencies are satisfied, and can be distributed automatically over a cluster of (possibly heterogeneous) machines. A simple struct with two fields. Define 4 tasks. Ignore the task bodies for the moment; the behavior of each. Task is soundly described by its declaration. Note that each declaration.

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Regent: a Language for Implicit Dataflow Parallelism | Regent | regent-lang.org Reviews

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Is a language for implicit dataflow parallelism. Regent discovers dataflow parallelism in sequential code by computing a dependence graph over tasks, like the one below. Tasks execute as soon as all dependencies are satisfied, and can be distributed automatically over a cluster of (possibly heterogeneous) machines. A simple struct with two fields. Define 4 tasks. Ignore the task bodies for the moment; the behavior of each. Task is soundly described by its declaration. Note that each declaration.

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Regent: a Language for Implicit Dataflow Parallelism | Regent | regent-lang.org Reviews

https://regent-lang.org

Is a language for implicit dataflow parallelism. Regent discovers dataflow parallelism in sequential code by computing a dependence graph over tasks, like the one below. Tasks execute as soon as all dependencies are satisfied, and can be distributed automatically over a cluster of (possibly heterogeneous) machines. A simple struct with two fields. Define 4 tasks. Ignore the task bodies for the moment; the behavior of each. Task is soundly described by its declaration. Note that each declaration.

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Regent: a Language for Implicit Dataflow Parallelism | Regent

Is a language for implicit dataflow parallelism. Regent discovers dataflow parallelism in sequential code by computing a dependence graph over tasks, like the one below. Tasks execute as soon as all dependencies are satisfied, and can be distributed automatically over a cluster of (possibly heterogeneous) machines. A simple struct with two fields. Define 4 tasks. Ignore the task bodies for the moment; the behavior of each. Task is soundly described by its declaration. Note that each declaration.

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regent-lang.org

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Language Reference | Regent

http://www.regent-lang.org/reference

Regent is implemented as a Terra. Language extension. Every Regent source file must therefore start with:. This loads the Regent compiler and enables hooks to start Regent on certain keywords (. The top-level of a Regent source file executes in a Lua/Terra context, and Lua, Terra, and Regent constructs can be freely mixed at this level. For example:. Define a Lua variable (constant from the perspective of Regent). Define a Lua function. Define a local Terra function. Define a local Regent task. Tasks are...

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Tutorial | Regent

http://www.regent-lang.org/tutorial

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About | Regent

http://www.regent-lang.org/about

Regent is developed as part of the Legion. Research project. For more information, see the Legion. Bug reports can be submitted to the Legion issue tracker. For other issues related to Regent, please contact Elliott Slaughter.

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Install | Regent

http://www.regent-lang.org/install

If you have Docker. The fastest way to install Regent is to run the official container:. Docker run -ti stanfordlegion/regent. If you use Ubuntu, you can install Regent by running:. Sudo apt-get install clang-3.5 libclang-3.5-dev llvm-3.5-dev git clone -b master https:/ github.com/StanfordLegion/legion.git cd. Legion/language ./install.py - debug. Complete instructions for installation follow below. Linux, macOS, or another Unix. A C 98 (or newer) compiler (GCC, Clang, Intel, or PGI) and GNU Make. Shell ...

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legion.stanford.edu

Getting Started – Legion Programming System

http://legion.stanford.edu/starting

A Data-Centric Parallel Programming System. To get started with Legion, you’ll need:. Linux, macOS, or another Unix. A C 98 (or newer) compiler (GCC, Clang, Intel, or PGI) and GNU Make. Python 2.7 (used for profiling/debugging tools). CUDA 5.0 or newer (for NVIDIA GPUs). For networking, see installation instructions. LLVM 3.5 (for dynamic code generation). HDF5 (for file I/O). Download Legion from Github. Git clone https:/ github.com/StanfordLegion/legion.git. Source code for the tutorials. USE CUDA= 0,1.

legion.stanford.edu

Documentation – Legion Programming System

http://legion.stanford.edu/documentation

A Data-Centric Parallel Programming System. This page lists the collected documentation on Legion and Regent. 2017 Legion. Powered by Jekyll. Using the Minimal Mistakes.

elliottslaughter.com

Elliott Slaughter's Projects

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Regent: A Language for Implicit Dataflow Parallelism. Tuesday, December 22, 2015. Is a research programming language which extracts implicit dataflow parallelism from code written in an imperative and (apparently) sequential semantics. AWS Infrastructure for Stanford Course in Parallel Programming. Friday, July 25, 2014. Over the last two winters I have had the privilege of being a teaching assistant for. At Stanford University with instructors Alex Aiken. Rust Precise Garbage Collection. A senior design...

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regent-lang.org

Regent: a Language for Implicit Dataflow Parallelism | Regent

Is a language for implicit dataflow parallelism. Regent discovers dataflow parallelism in sequential code by computing a dependence graph over tasks, like the one below. Tasks execute as soon as all dependencies are satisfied, and can be distributed automatically over a cluster of (possibly heterogeneous) machines. A simple struct with two fields. Define 4 tasks. Ignore the task bodies for the moment; the behavior of each. Task is soundly described by its declaration. Note that each declaration.

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