hcc

HCC is an Open Source, Optimizing C++ Compiler for Heterogeneous Compute currently for the ROCm GPU Computing Platform

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HCC : An open source C++ compiler for heterogeneous devices

This repository hosts the HCC compiler implementation project. The goal is to
implement a compiler that takes a program that conforms to a parallel programming
standard such as HC, C++ 17 ParallelSTL and transforms it
into the AMD GCN ISA.

The project is based on LLVM+CLANG. For more information, please visit the
hcc wiki:

https://github.com/RadeonOpenCompute/hcc/wiki

Deprecation Notice

AMD is deprecating HCC to put more focus on HIP development and on other languages supporting heterogeneous compute. We will no longer develop any new feature in HCC and we will stop maintaining HCC after its final release, which is planned for June 2019. If your application was developed with the hc C++ API, we would encourage you to transition it to other languages supported by AMD, such as HIP or OpenCL. HIP and hc language share the same compiler technology, so many hc kernel language features (including inline assembly) are also available through the HIP compilation path.

Download HCC

The project now employs git submodules to manage external components it depends
upon. It it advised to add --recursive when you clone the project so all
submodules are fetched automatically.

For example:

# automatically fetches all submodules
git clone --recursive -b clang_tot_upgrade https://github.com/RadeonOpenCompute/hcc.git

For more information about git submodules, please refer to git documentation.

Build HCC from source

To configure and build HCC from source, use the following steps:

mkdir -p build; cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
make

To install it, use the following steps:

sudo make install

Use HCC

For HC source codes:

hcc -hc foo.cpp -o foo

Multiple ISA

HCC now supports having multiple GCN ISAs in one executable file. You can do it
in different ways:

use --amdgpu-target= command line option

It's possible to specify multiple --amdgpu-target= option. Example:

# ISA for Fiji(gfx803) and Vega10(gfx900) would 
# be produced
hcc -hc \
    --amdgpu-target=gfx803 \
    --amdgpu-target=gfx900 \
    foo.cpp

configure HCC use CMake HSA_AMDGPU_GPU_TARGET variable

If you build HCC from source, it's possible to configure it to automatically
produce multiple ISAs via HSA_AMDGPU_GPU_TARGET CMake variable.

Use ; to delimit each AMDGPU target. Example:

# ISA for Fiji(gfx803) and Vega10(gfx900) would 
# be produced by default
cmake \
    -DCMAKE_BUILD_TYPE=Release \
    -DHSA_AMDGPU_GPU_TARGET="gfx803;gfx900" \
    ../hcc

CodeXL Activity Logger

To enable the CodeXL Activity Logger, use the USE_CODEXL_ACTIVITY_LOGGER
environment variable.

Configure the build in the following way:

cmake \
    -DCMAKE_BUILD_TYPE=Release \
    -DUSE_CODEXL_ACTIVITY_LOGGER=1 \
    <ToT HCC checkout directory>

In your application compiled using hcc, include the CodeXL Activity Logger header:

#include <CXLActivityLogger.h>

For information about the usage of the Activity Logger for profiling, please
refer to its documentation.

HCC with ThinLTO Linking

To enable the ThinLTO link time, use the KMTHINLTO environment variable.

Set up your environment in the following way:

export KMTHINLTO=1

ThinLTO Phase 1 - Implemented

For applications compiled using hcc, ThinLTO could significantly improve link-time
performance. This implementation will maintain kernels in their .bc file format,
create module-summaries for each, perform llvm-lto's cross-module function importing
and then perform clamp-device (which uses opt and llc tools) on each of the
kernel files. These files are linked with lld into one .hsaco per target specified.

ThinLTO Phase 2 - Under development

This ThinLTO implementation which will use llvm-lto LLVM tool to replace
clamp-device bash script. It adds an optllc option into ThinLTOGenerator,
which will perform in-program opt and codegen in parallel.

To use HCC Printf Functions

Set up environmental variable:

export HCC_ENABLE_PRINTF=1

Then compile the printf kernel with HCC_ENABLE_ACCELERATOR_PRINTF macro defined.

~/build/bin/hcc -hc -DHCC_ENABLE_ACCELERATOR_PRINTF -lhc_am -o printf.out ~/hcc/tests/Unit/HSA/printf.cpp

For more examples on how to use printf, see tests in tests/Unit/HSA/printf*.cpp.

Main metrics

Overview
Name With OwnerROCm/hcc
Primary LanguageC++
Program languageCMake (Language Count: 8)
Platform
License:Other
所有者活动
Created At2016-03-22 16:04:00
Pushed At2020-06-10 05:18:49
Last Commit At2016-10-20 21:36:01
Release Count69
Last Release Namerocm-3.3.0 (Posted on )
First Release Nameubuntu_centos_fedora (Posted on )
用户参与
Stargazers Count437
Watchers Count52
Fork Count108
Commits Count7.8k
Has Issues Enabled
Issues Count243
Issue Open Count101
Pull Requests Count968
Pull Requests Open Count11
Pull Requests Close Count235
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