home/user/Downloads/helloworld.cu(12): error: identifier 'cudaDeviceSynchronize' is undefinedģ errors detected in the compilation of '/tmp/tmpxft_000011c2_00000000-4_'. usr/include/i386-linux-gnu/bits/byteswap.h(111): error: identifier '_builtin_bswap64' is undefined usr/include/i386-linux-gnu/bits/byteswap.h(47): error: identifier '_builtin_bswap32' is undefined It turned out that I had difficulties with compiling it: NOTE: device emulation mode is deprecated in this release Note that in CUDA Toolkit 3.0 nvcc was in the /usr/local/cuda/bin/. ThreadIdx.x, threadIdx.x / warpSize, blockIdx.x)

Printf('Hello world! I am %d (Warp %d) from %d. ', I downloaded CUDA Toolkit 3.0, installed it and tried to run a simple

nvcc used to have a -deviceemu option back in CUDA Toolkit 3.0.

It might be possible to use gpuocelot if you satisfy its list of.

If anyone has any time and interest, they may wish to help us provide support for Windows!įor those who are seeking the answer in 2016 (and even 2017).

We've started a Windows branch ( as well as a Mac OS X port) but the engineering burden is already large enough to stress our research pursuits. These tools were specifically developed to expedite the debugging of CUDA programs you may find them useful. We have also implemented a command-line interactive debugger inspired largely by gdb to single-step through CUDA kernels, set breakpoints and watchpoints, etc.

deviceemu has been a deprecated feature of CUDA for quite some time, but the LLVM translator has always been faster.Īdditionally, several correctness checkers are built into the emulator to verify: aligned memory accesses, accesses to shared memory are properly synchronized, and global memory dereferencing accesses allocated regions of memory. The LLVM translator strives for correct and efficient translation from PTX to x86 that will hopefully make CUDA an effective way of programming multicore CPUs as well as GPUs. The emulator attempts to faithfully implement the PTX 1.4 and PTX 2.1 specifications which may include features older GPUs do not support. I've demonstrated the emulator on systems without NVIDIA GPUs. GPU Ocelot ( of which I am one of the core contributors) can be compiled without CUDA device drivers (libcuda.so) installed if you wish to use the Emulator or LLVM backends. This response may be too late, but it's worth noting anyway.

Cuda emulator for mac