Loading README.txt→README.md +39 −0 Original line number Diff line number Diff line # README # ------------------------------------------------------------------------------- RELEASE ------------------------------------------------------------------------------- OpenARC Examples V0.1 (August 30, 2019) This repository contains example OpenACC programs that can be used to test Open Accelerator Research Compiler (OpenARC) (http://ft.ornl.gov/research/openarc). OpenARC is a framework built on top of the Cetus compiler infrastructure (http://cetus.ecn.purdue.edu), which is written in Java for C. OpenARC supports the full feature set of OpenACC V1.0 (+ subset of V2.0) and performs source-to-source transformations, targeting heterogeneous devices, such as NVIDIA GPUs, AMD GPUs, Intel MICs, and Altera FPGAs. Please refer to the OpenARC website (http://ft.ornl.gov/research/openarc) to find more details on OpenARC. ------------------------------------------------------------------------------- ENVIRONMENT SETUP ------------------------------------------------------------------------------- Loading @@ -12,6 +28,8 @@ ENVIRONMENT SETUP * OpenARC Environment Setting - Set the following environment variables: $ export OPENARC_ARCH=0 //Optional setting to use CUDA Unified Memory $ export OPENARCRT_UNIFIEDMEM=1 * Install OpenARC - Run the following command: Loading Loading
README.txt→README.md +39 −0 Original line number Diff line number Diff line # README # ------------------------------------------------------------------------------- RELEASE ------------------------------------------------------------------------------- OpenARC Examples V0.1 (August 30, 2019) This repository contains example OpenACC programs that can be used to test Open Accelerator Research Compiler (OpenARC) (http://ft.ornl.gov/research/openarc). OpenARC is a framework built on top of the Cetus compiler infrastructure (http://cetus.ecn.purdue.edu), which is written in Java for C. OpenARC supports the full feature set of OpenACC V1.0 (+ subset of V2.0) and performs source-to-source transformations, targeting heterogeneous devices, such as NVIDIA GPUs, AMD GPUs, Intel MICs, and Altera FPGAs. Please refer to the OpenARC website (http://ft.ornl.gov/research/openarc) to find more details on OpenARC. ------------------------------------------------------------------------------- ENVIRONMENT SETUP ------------------------------------------------------------------------------- Loading @@ -12,6 +28,8 @@ ENVIRONMENT SETUP * OpenARC Environment Setting - Set the following environment variables: $ export OPENARC_ARCH=0 //Optional setting to use CUDA Unified Memory $ export OPENARCRT_UNIFIEDMEM=1 * Install OpenARC - Run the following command: Loading
