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Commit 2e14a4d0 authored by Yifan Zhao's avatar Yifan Zhao
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Updated README to reflect new build procedure

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......@@ -15,8 +15,8 @@ HPVM is currently at **version 1.0**. For more about what HPVM is, see [our webs
[PPoPP'21 paper](https://dl.acm.org/doi/10.1145/3437801.3446108)
## Resources
## Docs
[HPVM IR Specification](/hpvm/docs/hpvm-specification.md)
[HPVM-C Language Specification](/hpvm/docs/hpvm-c.md)
......@@ -24,6 +24,7 @@ HPVM is currently at **version 1.0**. For more about what HPVM is, see [our webs
[HPVM Compilation Process](/hpvm/docs/compilation.md)
## Dependencies
The following components are required to be installed on your machine to build HPVM.
* GCC (>=5.1)
......@@ -36,25 +37,38 @@ The following components are required to be installed on your machine to build H
* CUDA (>=9.1)
## Supported Targets
Supported/tested CPU architectures:
* Intel Xeon E5-2640
* Intel Xeon W-2135
* ARM Cortex A-57
Supported/tested GPU architectures:
Supported/tested GPU architectures for OpenCL backend:
* Nvidia Quadro P1000
* Nvidia GeForce GTX 1080
Supported/tested GPU architectures for Tensor Backend:
* Nvidia Jetson TX2
* Nvidia GeForce GTX 1080
HPVM has not been tested but might work on other CPUs supported by LLVM Backend, and GPUs supported by OpenCL such as Intel, AMD, etc.
**NOTE**: Approximations are tuned for Jetson TX2 and same speedups may not exist for other architectures.
## Getting Started
## Getting source code and building HPVM
### Getting source code and setting up environment
Checkout HPVM and go to directory `./hpvm` under project root:
Checkout HPVM:
```shell
git clone --recursive https://gitlab.engr.illinois.edu/llvm/hpvm.git
cd hpvm/
git checkout approx_hpvm_reorg
cd hpvm/hpvm
cd hpvm/
```
HPVM needs to be able to find CUDA.
......@@ -64,64 +78,77 @@ Otherwise, some environment variables are required:
* `CUDA_TOOLKIT_PATH` --- Path to the CUDA toolkit
* `CUDA_INCLUDE_PATH` --- Path to the CUDA headers
* `CUDA_LIB_PATH` --- Path to CUDA libraries
* `CUDA_LIB_PATH` --- Path to CUDA libraries
`set_paths.sh` can be used for this.
Modify the values of these variables in `set_paths.sh` according to your system, and source the script:
`hpvm/set_paths.sh` can be used for this. Modify the values of these variables in set_paths.sh and source the script:
```shell
source set_paths.sh
```
HPVM installer script can be used to download, configure and build HPVM along with LLVM and Clang.
HPVM installer script can be used to download, configure and build HPVM along with LLVM and Clang.
```shell
bash install.sh
```
Post Installation Build the HPVM Compilation Tool `approxhpvm.py` using:
```
make approxhpvm.py
```
On launch, the installer asks whether it should also build HPVM.
If HPVM is to be built, the installer asks the number of threads to be used.
The default number of threads used to build HPVM is two (2).
If you use this automatic build, skip the next section.
* Specifically, the HPVM installer downloads LLVM, and Clang, copies HPVM source into
llvm/tools and builds the entire tree. It also builds a modified LLVM C-Backend,
based on the one maintained by [Julia Computing](https://github.com/JuliaComputing/llvm-cbe),
as a part of HPVM and is currently used to generate OpenCL kernels for GPUs.
### Manually Build HPVM
Specifically, the HPVM installer downloads LLVM, and Clang, copies HPVM source into
llvm/tools and builds the entire tree. It also builds a modified LLVM C-Backend, based on the one maintained by [Julia Computing](https://github.com/JuliaComputing/llvm-cbe), as a part of HPVM and is currently used
to generate OpenCL kernels for GPUs.
Alternatively, you can manually build HPVM with CMake.
Please note that in this case,
the installer script still *must* be executed to obtain some required components,
but without the build step.
In the beginning of the building process, the installer provides users the choice of automatically or manually building HPVM.
If HPVM is selected to be built automatically, the installer allows users to type in the number of threads they want to use.
The default number of threads used to build HPVM is two.
In current directory (`hpvm/`), do
Alternatively, CMake can be run manually using the following steps in ./hpvm-release/hpvm directory.
```shell
mkdir build
cd build
cmake ../llvm [options]
export PATH=$(realpath ./bin):$PATH
```
**Note** that if the installer script was not used,
you must _manually add `build/bin` directory to your $PATH variable_ (as absolute path).
Some common options that can be used with CMake are:
* -DCMAKE_INSTALL_PREFIX=directory --- Specify for directory the full pathname of where you want the HPVM tools and libraries to be installed.
* -DCMAKE_BUILD_TYPE=type --- Valid options for type are Debug, Release, RelWithDebInfo, and MinSizeRel. Default is Debug.
* -DLLVM_ENABLE_ASSERTIONS=On --- Compile with assertion checks enabled (default is Yes for Debug builds, No for all other build types).
In order to manually build and install HPVM, GNU Make can be run using the following in the build directory.
**Note** that if the installer script was not used,
you must _manually add `build/bin` directory to your $PATH variable_ as absolute path (as shown above).
Now, compile the HPVM Compilation Tool `approxhpvm.py` using:
```shell
make -j<number of threads>
make install
make -j<number of threads> approxhpvm.py
```
In the end of the installation process, the installer automatically runs all the regression tests to ensure that the installation is
successful. If HPVM is built and installed manually, the tests can be automatically run by executing the following step from the ./hpvm-release/hpvm directory.
With all the aforementioned steps, HPVM should be built, installed, tested and ready to use.
In particular, `approxhpvm.py` should be an executable command from your command line.
When not using the installer, you may want to run the regression tests using this script (outside of build directory):
```shell
cd ..
bash scripts/automate_tests.sh
```
With all the aforementioned steps, HPVM should be built, installed, tested and ready to use.
## Benchmarks and Tests
We are providing the following [HPVM benchmarks](/hpvm/test/benchmarks):
* Select benchmarks from the [Parboil](http://impact.crhc.illinois.edu/parboil/parboil.aspx) benchmark suite, located under [test/benchmarks/parboil](/hpvm/test/benchmarks/parboil).
* An edge detection pipeline benchmark, located under [test/benchmarks/pipeline](/hpvm/test/benchmarks/pipeline).
* A Camera ISP pipeline, located under [test/benchmarks/hpvm-cava](/hpvm/test/benchmarks/hpvm-cava), adapted from C code provided from our collaborators at [Harvard](http://vlsiarch.eecs.harvard.edu).
......@@ -131,4 +158,5 @@ Benchmark descriptions and instructions on how to compile and run them are [here
We are also providing [unit tests](/hpvm/test/unitTests) and [regression tests](/hpvm/test/regressionTests).
## Support
All questions can be directed to [hpvm-dev@lists.cs.illinois.edu](mailto:hpvm-dev@lists.cs.illinois.edu).
......@@ -208,7 +208,7 @@ if ! $AUTOMATE ; then
echo "To complete installation, follow these instructions:"
echo " - Create and navigate to a folder \"./build\" "
echo " - Run \"cmake ../llvm [options]\". Find potential options in README.md."
echo " - Run \"make -j<number of threads>\" and then \"make install\""
echo " - Run \"make -j<number of threads> approxhpvm.py\" and then \"make install\""
echo "For more details refer to README.md."
echo
echo "Exiting."
......@@ -237,8 +237,8 @@ cd $BUILD_DIR
echo cmake ../$LLVM_SRC -DCMAKE_C_COMPILER=gcc -DCMAKE_CXX_COMPILER=g++ -DLLVM_TARGETS_TO_BUILD=$TARGET -DCMAKE_INSTALL_PREFIX=$INSTALL_DIR
cmake ../$LLVM_SRC -DCMAKE_C_COMPILER=gcc -DCMAKE_CXX_COMPILER=g++ -DLLVM_TARGETS_TO_BUILD=$TARGET -DCMAKE_INSTALL_PREFIX=$INSTALL_DIR
echo make -j$NUM_THREADS
make -j$NUM_THREADS
echo make -j$NUM_THREADS approxhpvm.py
make -j$NUM_THREADS approxhpvm.py
#make install
if [ -f $BUILD_DIR/tools/hpvm/projects/$HPVM_RT ]; then
......
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