I had free 62GB system/8GB device memory. We find that the current CUDA Streams API and its hardware. None of this means you are running out of global memory on the device. nique to time-slice kernel execution and memory transfers to mitigate this serialization. You should inspect your kernel code in SetSubGridMarker for an invalid access to shared or local memory. Also checked the available system/device memory prior to test. The kernel launch is failing probably because of the memory out-of-bounds accesses that are being reported because you are running your code with cuda-memcheck. Hopefully it should be easy to reproduce it, I was able to get my application freezing every single time. My guess is that somewhere in the Eigen it's trying to call 'host' function. On my system I have Cuda 8.0.44 and Quadro M5000. = Host Frame:EigenTest (_Z4testv + 0x96) = Host Frame:libcudart.so.8.0 (cudaDeviceSynchronize + 0x166) But, even after updating the kernel to kernel-2.4.21-15.0.3EL, it does not seems to goaway. ![]() Before, i thought that this problem might be occuring due to 'OOM killer' bug in kernel-2.4.21-4.0.3EL, when installed on RAID servers. However, systems like the Jetson TX2 have a single bank of memory shared. kernel: Out of Memory: Killed process 1059 (mysqld-max). = Saved host backtrace up to driver entry point at error When the CPU is ready to wait for the results of the CUDA kernel, it must. = Program hit cudaErrorLaunchFailure (error 4) due to "unspecified launch failure" on CUDA API call to cudaDeviceSynchronize. An integrated demo environment allows you to try out the application before connecting to your organizations environment.With the CudaLaunch Application you can: Connect to a demo environment to. = Host Frame:/lib64/libc.so.6 (_libc_start_main + 0xfd) = Host Frame:EigenTest (_Z4testv + 0x91) = Host Frame:EigenTest (_Z6kernelmPN5Eigen6MatrixIfLi4ELi4ELi2ELi4ELi4EEE + 0x23) = Host Frame:EigenTest (_Z63_device_stub_Z6kernelmPN5Eigen6MatrixIfLi4ELi4ELi2ELi4ELi4EEEmPN5Eigen6MatrixIfLi4ELi4ELi2ELi4ELi4EEE + 0圆7) = Host Frame:libcudart.so.8.0 (cudaLaunch + 0x143) = Host Frame:/usr/lib64/libcuda.so.1 (cuLaunchKernel + 0x2c5) For macOS: Install cuda toolkit for macOS. = Saved host backtrace up to driver entry point at kernel launch time ![]() = at 0x00000050 in kernel(unsigned long, Eigen::Matrix*) ![]() For decomposing/composing transform matrices in Cuda kernels, I am using Transform primitive and calling Transform::fromPositionOrientationScale or Transform::computeRotationScaling causing my application to freeze. The mechanism the kernel uses to recover memory on the system is referred to as the out-of-memory killer or OOM killer for short.
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