The HPVM Compiler Infrastructure

This repository contains the source code and documentation for the HPVM Compiler Infrastructure.

The README briefly describes how to get started with building and installing HPVM. It also provides a benchmark suite to test the compiler infrastructure.

HPVM is currently at version 1.0. For more about what HPVM is, see our website.

Papers

PPoPP'18 paper

OOPSLA'19 paper

PPoPP'21 paper

Resources

HPVM IR Specification

HPVM-C Language Specification

HPVM Compilation Process

Dependencies

The following components are required to be installed on your machine to build HPVM.

• GCC (>=5.1)
  • In addition, each version of CUDA-nvcc requires GCC to be not newer than a certain version. See here for the support matrix.
• CMake (>=3.17)
• GNU Make (>=3.79)
• OpenCL (>=1.0.0)
• CUDA (>=9.1)
• Python (==3.6) with pip (>=20)

Python must be strictly 3.6 (any subversion between 3.6.0~3.6.13). Alternatively, if you use Anaconda for package management, we provide a conda environment file that covers all Python and Python package requirements:

conda env create -n hpvm -f hpvm/env.yaml

Supported Targets

Supported/tested CPU architectures:

• Intel Xeon E5-2640
• Intel Xeon W-2135
• ARM Cortex A-57

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 setting up environment

Checkout HPVM and go to directory ./hpvm under project root:

git clone --recursive -b approx_hpvm_reorg --single-branch https://gitlab.engr.illinois.edu/llvm/hpvm.git
cd hpvm/

HPVM needs to be able to find CUDA. If CUDA is installed in your system's $PATH (e.g. if it was installed at the default location), HPVM can find CUDA automatically. 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

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:

source set_paths.sh

HPVM installer script can be used to download, configure and build HPVM along with LLVM and Clang.

bash install.sh

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, as a part of HPVM and is currently used to generate OpenCL kernels for GPUs.

Manually Build HPVM

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 current directory (hpvm/), do

mkdir build
cd build
cmake ../llvm [options]
export PATH=$(realpath ./bin):$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).

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:

make -j<number of threads> approxhpvm.py

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):

cd ..
bash scripts/automate_tests.sh

Benchmarks and Tests

We are providing the following HPVM benchmarks:

• Select benchmarks from the Parboil benchmark suite, located under test/benchmarks/parboil.
• An edge detection pipeline benchmark, located under test/benchmarks/pipeline.
• A Camera ISP pipeline, located under test/benchmarks/hpvm-cava, adapted from C code provided from our collaborators at Harvard.

Benchmark descriptions and instructions on how to compile and run them are here.

We are also providing unit tests and regression tests.

Support

All questions can be directed to hpvm-dev@lists.cs.illinois.edu.