CUDA 动态并行 MakeFile [英] CUDA Dynamic Parallelism MakeFile

查看:24
本文介绍了CUDA 动态并行 MakeFile的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

这是我第一个使用动态并行的程序,我无法编译代码.我需要能够为我在大学的研究项目运行这个,任何帮助将不胜感激:

This is my first program using Dynamic Parallelism and I am unable to compile the code. I need to be able to run this for my research project at college and any help will be most appreciated:

我收到以下错误:

/cm/shared/apps/cuda50/toolkit/5.0.35/bin/nvcc -m64 -dc  -gencode arch=compute_35,code=sm_35 -rdc=true -dlink -po maxrregcount=16 -I/cm/shared/apps/cuda50/toolkit/5.0.35 -I. -I.. -I../../common/inc -o BlackScholes.o -c BlackScholes.cu
g++ -m64 -I/cm/shared/apps/cuda50/toolkit/5.0.35 -I. -I.. -I../../common/inc -o BlackScholes_gold.o -c BlackScholes_gold.cpp
g++ -m64 -o BlackScholes BlackScholes.o BlackScholes_gold.o -L/cm/shared/apps/cuda50/toolkit/5.0.35/lib64 -lcudart -lcudadevrt
BlackScholes.o: In function `__sti____cudaRegisterAll_47_tmpxft_000059cb_00000000_6_BlackScholes_cpp1_ii_c58990ec()':
tmpxft_000059cb_00000000-3_BlackScholes.cudafe1.cpp:(.text+0x1354): undefined reference to `__cudaRegisterLinkedBinary_47_tmpxft_000059cb_00000000_6_BlackScholes_cpp1_ii_c58990ec'
collect2: ld returned 1 exit status
make: *** [BlackScholes] Error 1

我有一个 cpp 文件,一个 cu 文件和一个 cuh 文件.我的 makefile 的重要部分如下:

I have one cpp file, one cu file and one cuh file. Important portions of my makefile are below:

# CUDA code generation flags
#GENCODE_SM10    := -gencode arch=compute_10,code=sm_10
GENCODE_SM20     := -gencode arch=compute_20,code=sm_20
GENCODE_SM30     := -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35
GENCODE_SM35     := -gencode arch=compute_35,code=sm_35
#GENCODE_FLAGS    := $(GENCODE_SM10) $(GENCODE_SM20) $(GENCODE_SM30)
GENCODE_FLAGS    := $(GENCODE_SM35)

# OS-specific build flags
ifneq ($(DARWIN),)
      LDFLAGS   := -Xlinker -rpath $(CUDA_LIB_PATH) -L$(CUDA_LIB_PATH) -lcudart -lcudadevrt
      CCFLAGS   := -arch $(OS_ARCH)
else
  ifeq ($(OS_SIZE),32)
      LDFLAGS   := -L$(CUDA_LIB_PATH) -lcudart -lcudadevrt
      CCFLAGS   := -m32
  else
      LDFLAGS   := -L$(CUDA_LIB_PATH) -lcudart -lcudadevrt
      CCFLAGS   := -m64
  endif
endif

# OS-architecture specific flags
ifeq ($(OS_SIZE),32)
      NVCCFLAGS := -m32 -dc
else
      NVCCFLAGS := -m64 -dc
endif

# Debug build flags
ifeq ($(dbg),1)
      CCFLAGS   += -g
      NVCCFLAGS += -g -G
      TARGET := debug
else
      TARGET := release
endif


# Common includes and paths for CUDA
INCLUDES      := -I$(CUDA_INC_PATH) -I. -I.. -I../../common/inc

# Additional parameters
MAXRREGCOUNT  :=  -po maxrregcount=16

# Target rules
all: build

build: BlackScholes

BlackScholes.o: BlackScholes.cu
        $(NVCC) $(NVCCFLAGS) $(EXTRA_NVCCFLAGS) $(GENCODE_FLAGS) -rdc=true -dlink $(MAXRREGCOUNT) $(INCLUDES) -o $@ -c $<

BlackScholes_gold.o: BlackScholes_gold.cpp
        $(GCC) $(CCFLAGS) $(INCLUDES) -o $@ -c $<

BlackScholes: BlackScholes.o BlackScholes_gold.o
        $(GCC) $(CCFLAGS) -o $@ $+ $(LDFLAGS) $(EXTRA_LDFLAGS)
        mkdir -p ../../bin/$(OSLOWER)/$(TARGET)
        cp $@ ../../bin/$(OSLOWER)/$(TARGET)
    enter code here

run: build
        ./BlackScholes

推荐答案

使用主机链接器 (g++) 最终链接可执行文件时,以及使用可重定位设备代码 (nvcc-dc),需要做一个中间设备代码链接步骤.

When using the host linker (g++) for final linking of your executable, and when using relocatable device code (nvcc -dc), it's necessary to do an intermediate device code link step.

来自文档:p>

If you want to invoke the device and host linker separately, you can do:

nvcc –arch=sm_20 –dc a.cu b.cu
nvcc –arch=sm_20 –dlink a.o b.o –o link.o
g++ a.o b.o link.o –L<path> -lcudart

由于您在编译行中指定了 -dc,因此您将获得仅编译操作(就像您已将 -c 指定给 g++).

Since you are specifying -dc on the compile line, you are getting a compile-only operation (just as if you had specified -c to g++).

这是一个修改/压缩的 Makefile,它应该向您展示所涉及的内容:

Here's a modified/condensed Makefile that should show you what is involved:

GENCODE_SM35     := -gencode arch=compute_35,code=sm_35
GENCODE_FLAGS    := $(GENCODE_SM35)

LDFLAGS   := -L/usr/local/cuda/lib64 -lcudart -lcudadevrt
CCFLAGS   := -m64

NVCCFLAGS := -m64 -dc

NVCC := nvcc
GCC := g++

# Debug build flags
ifeq ($(dbg),1)
      CCFLAGS   += -g
      NVCCFLAGS += -g -G
      TARGET := debug
else
      TARGET := release
endif


# Common includes and paths for CUDA
INCLUDES      := -I/usr/local/cuda/include -I. -I..

# Additional parameters
MAXRREGCOUNT  :=  -po maxrregcount=16

# Target rules
all: build

build: BlackScholes

BlackScholes.o: BlackScholes.cu
        $(NVCC) $(NVCCFLAGS) $(EXTRA_NVCCFLAGS) $(GENCODE_FLAGS) $(MAXRREGCOUNT) $(INCLUDES) -o $@ $<
        $(NVCC) -dlink  $(GENCODE_FLAGS) $(MAXRREGCOUNT)  -o bs_link.o $@

BlackScholes_gold.o: BlackScholes_gold.cpp
        $(GCC) $(CCFLAGS) $(INCLUDES) -o $@ -c $<

BlackScholes: BlackScholes.o BlackScholes_gold.o bs_link.o
        $(GCC) $(CCFLAGS) -o $@ $+ $(LDFLAGS) $(EXTRA_LDFLAGS)

run: build
        ./BlackScholes

这篇关于CUDA 动态并行 MakeFile的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆