Syntax and Semantic

I have been struggling with compiling complex CUDA code, with complex I mean a lot of .cu .F .cpp and .c files. I have created a makefile that can help you compile that kind of code. I'll try to give a quick view of it here explaining some parts: First you'll need to specify the CUDA path and the compilers and linkers. Here I am using gcc and g++ for .c and .cpp files and nvcc for .cu files: CUDA_INSTALL_PATH ?= /usr/local/cuda CXX := g++ CC := gcc LINK := g++ -fPIC NVCC := nvcc -ccbin /usr/bin Then you need to specify where to locate the CUDA header files : # Includes INCLUDES = -I. -I$(CUDA_INSTALL_PATH)/include # Common flags COMMONFLAGS += $(INCLUDES) NVCCFLAGS += $(COMMONFLAGS) CXXFLAGS += $(COMMONFLAGS) CFLAGS += $(COMMONFLAGS) Then you specify where to locate the CUDA binaries for linking : LIB_CUDA := -L$(CUDA_INSTALL_PATH)/lib -lcudart Then you specify the object files that the executable depends on and the name of the executable flle:...

Open Source products are everywhere now, probably now you're using some of them. And I am sure that a lot of people are appreciating the role of open source. This post is about giving back to the community, helping others and moving forward one of the applications/tools you're using as a part of your everyday life. Why Contribute to Open Source?? Sun Microsystems had a slogan "Change (Y)our world". And that summarizes what contributing to open source is all about. It's about making You better and making The World better. Let's make it clearer. When you contribute to open source it helps you in some many ways, it gets you to code and practice and enhance your programming skills. Then gets your code reviewed, reviewed and then reviewed once more before it becomes a part of an official release. And finally it gets you to document your code. Of course how much a project adds to your skills depends on the scale of the project and the importance of the featu...