Mar*_*son 13 gcc cuda gpgpu nvidia openmp
TL; DR - GCC(trunk)是否已支持OpenMP 4.0卸载到nVidia GPU?
如果是这样,我做错了什么?(以下描述).
我正在运行Ubuntu 14.04.2 LTS.
我查看了最近的GCC主干(2015年3月25日).
我根据Ubuntu入门指南安装了CUDA 7.0工具包.CUDA样品成功运行,即检测到我的GeForce GT 730.deviceQuery
我已按照https://gcc.gnu.org/wiki/Offloading以及https://gcc.gnu.org/install/specific.html#nvptx-x-none中的说明进行操作
我已经安装了nvptx工具和nvptx-newlib(configure
,make
,sudo make install
),newlib还与海湾合作委员会的后备箱目录内的链接ln -s
.
然后我构建了目标加速器nvptx-none编译器:
../../trunk/configure --target=nvptx-none --enable-as-accelerator-for=x86_64-pc-linux-gnu --with-build-time-tools=/usr/local/nvptx-none/bin --disable-sjlj-exceptions --enable-newlib-io-long-long
make -j 9
sudo make install DESTDIR=/install
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...和主机GCC编译器本身:
../trunk/configure --build=x86_64-pc-linux-gnu --host=x86_64-pc-linux-gnu --target=x86_64-pc-linux-gnu --enable-offload-targets=nvptx-none=/install/prefix --with-cuda-driver=/usr/local/cuda --enable-languages=c,c++
make -j 9
sudo make install DESTDIR=/install
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我已相应地设置了LD_LIBRARY_PATH:
export LD_LIBRARY_PATH=/install/usr/local/lib64:/install/usr/local/lib/gcc/nvptx-none/5.0.0/:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
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当然,构建了mkoffload工具:
/install/usr/local/libexec/gcc/x86_64-pc-linux-gnu/5.0.0/accel/nvptx-none/mkoffload
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目标和主机编译器也在那里:
/install/usr/local/bin/x86_64-pc-linux-gnu-gcc
/install/usr/local/bin/x86_64-pc-linux-gnu-accel-nvptx-none-gcc
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但是当我编译一个查询设备数量的示例代码时omp_get_num_devices()
,我得到了响应0
:
$ /install/usr/local/bin/x86_64-pc-linux-gnu-gcc -fopenmp -foffload=nvptx-none main.c
$ ./a.out
0
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当我-v
向目标编译器的选项添加(详细)选项时,我得到以下输出:
$ /install/usr/local/bin/x86_64-pc-linux-gnu-gcc -fopenmp -foffload=nvptx-none="-v" main.c
Using built-in specs.
COLLECT_GCC=/install/usr/local/bin/x86_64-pc-linux-gnu-accel-nvptx-none-gcc
Target: nvptx-none
Configured with: ../../trunk/configure --target=nvptx-none --enable-as-accelerator-for=x86_64-pc-linux-gnu --with-build-time-tools=/usr/local/nvptx-none/bin --disable-sjlj-exceptions --enable-newlib-io-long-long
Thread model: single
gcc version 5.0.0 20150325 (experimental) (GCC)
COLLECT_GCC_OPTIONS='-m64' '-S' '-fmath-errno' '-fsigned-zeros' '-ftrapping-math' '-fno-trapv' '-fno-strict-overflow' '-fno-openacc' '-foffload-abi=lp64' '-fopenmp' '-v' '-v' '-o' '/tmp/cccxIggp.mkoffload'
/install/usr/local/bin/../libexec/gcc/x86_64-pc-linux-gnu/5.0.0/accel/nvptx-none/lto1 -quiet -dumpbase ccKOW9hi.o -m64 -auxbase-strip /tmp/cccxIggp.mkoffload -version -fmath-errno -fsigned-zeros -ftrapping-math -fno-trapv -fno-strict-overflow -fno-openacc -foffload-abi=lp64 -fopenmp -o /tmp/cccxIggp.mkoffload @/tmp/ccjRDWhp
GNU GIMPLE (GCC) version 5.0.0 20150325 (experimental) (nvptx-none)
compiled by GNU C version 5.0.0 20150325 (experimental), GMP version 5.1.3, MPFR version 3.1.2-p3, MPC version 1.0.1
GGC heuristics: --param ggc-min-expand=30 --param ggc-min-heapsize=4096
GNU GIMPLE (GCC) version 5.0.0 20150325 (experimental) (nvptx-none)
compiled by GNU C version 5.0.0 20150325 (experimental), GMP version 5.1.3, MPFR version 3.1.2-p3, MPC version 1.0.1
GGC heuristics: --param ggc-min-expand=30 --param ggc-min-heapsize=4096
COMPILER_PATH=/install/usr/local/bin/../libexec/gcc/x86_64-pc-linux-gnu/5.0.0/accel/nvptx-none/:/install/usr/local/bin/../libexec/gcc/
LIBRARY_PATH=/install/usr/local/bin/../lib/gcc/x86_64-pc-linux-gnu/5.0.0/accel/nvptx-none/:/install/usr/local/bin/../lib/gcc/
COLLECT_GCC_OPTIONS='-m64' '-S' '-fmath-errno' '-fsigned-zeros' '-ftrapping-math' '-fno-trapv' '-fno-strict-overflow' '-fno-openacc' '-foffload-abi=lp64' '-fopenmp' '-v' '-v' '-o' '/tmp/cccxIggp.mkoffload'
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因此看起来工具链被调用并且.mkoffload
文件被创建.
请帮忙.如果它应该工作,我怎么能诊断出什么是错的?
Ily*_*bin 14
TL; DR - GCC(trunk)是否已支持OpenMP 4.0卸载到nVidia GPU?
没有.
目前,GCC仅支持将OpenMP 4.0卸载到Intel Xeon Phi(KNL)和OpenACC 2.0卸载到nVidia GPU.
有关支持OpenMP 4.0卸载到nVidia GPU的想法:[1],[2],但实现尚未开始.
UPD 2017: GCC 7.1现在支持OpenMP 4.5卸载到NVidia GPU [3].
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