2/12/2023 0 Comments Osx gfxcardstatus![]() System model name: MacBookPro6,2 (Mac-F22586C8) Panic(cpu 0 caller 0xffffff7fa1961fac): "GPU Panic: 3 3 7f 0 0 0 0 3 : NVRM: Read Error 0x00000100: CFG 0xffffffff 0xffffffff 0xffffffff, BAR0 0xd2000000 0xffffff80bee2b000 0x0a5480a2, D0, MuxControl/kext/GPUPanic.cpp:127īacktrace (CPU 0), Frame : Return Address Anyone has any ideas what could be causing it? I've done a clean install of Mavericks, and it didn't fix it. But then again, If I found out I screwed up in my work, I'd try to fix it, despite of how long later the damage showed up.Īnyway, here are the specs of the computer and the crash log. ![]() I understand they were clear about the rules of the recall. But my computer is older than 3 years, so Apple won't take it. I've read about the GPU recall for the Mid-2010 Macbook Pro. I come back, it wakes up for about 5 seconds and has a GPU Panic and reboots. I use my computer without any problems, leave, it goes to sleep. Support host page-locked memory mapping: Yesĭevice supports Unified Addressing (UVA): Noĭevice PCI Bus ID / PCI location ID: 2 / 0ĭeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.0, CUDA Runtime Version = 4.Since upgrading to Mavericks here is what happens: Maximum sizes of each dimension of a grid: 65535 x 65535 x 1Ĭoncurrent copy and execution: No with 0 copy engine(s) Maximum sizes of each dimension of a block: 512 x 512 x 64 Total number of registers available per block: 8192 Total amount of shared memory per block: 16384 bytes Total amount of constant memory: 65536 bytes ( 2) Multiprocessors x ( 8) CUDA Cores/MP: 16 CUDA Cores Total amount of global memory: 254 MBytes (265945088 bytes) This is the device querying result CUDA Device Query (Runtime API) version (CUDART static linking)ĬUDA Driver Version / Runtime Version 4.0 / 4.0ĬUDA Capability Major/Minor version number: 1.1 How can I kick the GPU (or CUDA) back into sanity ? I also tried to unload and reload the driver with a procedure I assume to be correct (may not be) kextunload -b īut still it does not work. I don't want to reboot every time it happens. I tried many solutions from the Nvidia forum, but it didn't work. NVIDIA CUDA drivers : CUDA Driver Version: 4.0.31 (latest).The code runs successfully if I restart the computer, but this is far from ideal. Quite often, I get the CUDA library to completely fail and return with an error 46 ("all CUDA-capable devices are busy or unavailable") even for simple calls like cudaMalloc.
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