That running pppm on the CPU might be even faster. You seem to be heavily oversubscribing the GPUs.ĭo you actually get a speed benefit and particularly,ĭo you get a speed benefit from running pppm on It also looks as if your system is rather small and On having to use the very latest lammps software, It doesn't make much sense to me that you insist Same time and get additional speed as a bonus. You could install the newer 4.1 toolkit at the You can always use an older toolkit with a The one you have is known to be problematic. With running the current GPU code and oldĭriver/toolkit combo, but there are a number I am not saying that there is not a problem Version lammps, but still have the same cuda driver error 1 and cuda driver With "package gpu force", I can run it smoothly using 29Jan12 The correction of package command can not solve the "cuda driverĮrrors". But I also found this mistake soon after I sent the inputįiles. MPI_ABORT invoked on rank 0 in communicator MPI_COMM_WORLD with errorcode -1Ĭuda driver error 4 in call at file ‘geryon/nvd_device.h’ in line 116.Ĭuda driver error 4 in call at file ‘geryon/nvd_timer.h’ in line 98.Ĭuda driver error 4 in file ‘geryon/nvd_timer.h’ in line 98.Ĭuda driver error 4 in call at file ‘geryon/nvd_timer.h’ in line 99.Ĭuda driver error 4 in file ‘geryon/nvd_timer.h’ in line 99. Version 1.9.3 () Platforms: Source Code LINUX64 OpenGL, CUDA, OptiX, OSPRay (Linux (RHEL 6.7 and later) 64-bit Intel/AMD x8664 SSE, with CUDA 8.x. oxxxxxx file.Ĭuda driver error 1 in call at file ‘geryon/nvd_memory.h’ in line 466. There seems to be no differences in error output before and after adding -DUCL_SYNC_DEBUG. CUDA installation instructions are in the 'Release notes for CUDA SDK' under both Windows and Linux. I recompiled the 5Mar12 version following your instruction. Total amount of global memory: 1.49969 GB Support host page-locked memory mapping: Yes Maximum item sizes (# threads for each dim) 65535 x 65535 x 1 Maximum group size (# of threads per block) 1024 x 1024 x 64 Maximum number of threads per block: 1024 ![]() Total number of registers available per block: 32768 Total amount of local/shared memory per block: 49152 bytes ![]() Total amount of constant memory: 65536 bytes Number of compute units/multiprocessors: 15 Total amount of global memory: 1.49957 GB Using platform: NVIDIA Corporation NVIDIA CUDA Driver The output of nvc_get_devices are shown below: Lammps code I’m using is the latest version, 5Mar12.
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