Name: rdir
Owner: NVIDIA Research Projects
Description: RDIR Compiler Plug-in
Created: 2015-10-13 14:11:52.0
Updated: 2017-11-19 03:56:51.0
Pushed: 2015-10-13 20:44:38.0
Homepage: null
Size: 164
Language: Perl
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is a dataflow intermediate representation for optimizing
ilers for parallel programming models. This compiler plug-in adds
support to Regent, a compiler for task-based parallel programs,
a translator (both AST->RDIR and RDIR->AST) and a number of
le optimizations which demonstrate how to use the plug-in.
Install LLVM *with headers*. (Tested with LLVM 3.5.)
Download and install Regent:
git clone https://github.com/StanfordLegion/legion.git
cd legion/language
git checkout -b rdir regent-0.0
./install.py --debug
export REGENT=$PWD
Note: In some cases, Terra may fail to auto-detect CUDA. If so
(and assuming you want to use CUDA), recompile Terra with CUDA
enabled.
cd terra
make clean
CUDA_HOME=.../path/to/cuda ENABLE_CUDA=1 make
Install RDIR plug-in:
git clone .../rdir.git
cd rdir
cp -r plugin/src $REGENT
following test is included which exercises the optimizations
uded with RDIR. Both CPU and GPU code paths should be
ing. (GPUs are enabled with the flag -ll:gpu N where N is the
er of GPUs to use.)
ing the following commands will produce output reporting bandwidth
compute throughput on a simple streaming benchmark. In general,
and inc2 should achieve roughly the same bandwidth. When the RDIR
mizations are functioning propertly, inc2 will achieve 2x the
ute throughput as inc1 (due to loop and task fusion).
$REGENT/regent.py examples/inc.rg -fcuda 1 -ll:csize 4096
$REGENT/regent.py examples/inc.rg -fcuda 1 -ll:gpu 1 -ll:csize 4096 -ll:fsize 4096
yright (c) 2015, NVIDIA CORPORATION. All rights reserved.
istribution and use in source and binary forms, with or without
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