![]() ![]() When this started happening (well before my 3 years was up) I took it to an Apple. If I keep the unit running exclusively on the Intel graphics card it runs forever allowing it to switch to the nvidia card guarantees a crash within 30 minutes. Has anyone else noticed that after upgrading to 10.8.3 Dropbox enables the dedicated gfx card I upgraded to Dropbox v2 yesterday and I'm pretty sure on 10.8.2 it still used my intel card on my model Now as long as I have Dropbox in the menu bar it keeps switching to the nvidia. Support host page-locked memory mapping: Yesĭevice supports Unified Addressing (UVA): Noĭevice PCI Bus ID / PCI location ID: 3 / 0ĭeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.0, CUDA Runtime Version = 4.0, NumDevs = 1, Device = GeForce 9400MĭeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.0, CUDA Runtime Version = 4. The bottom line for me was that it clearly is a failed Nvidia. 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 Many people report increased functionality, speed, overall 'snappiness' and less boot-up time with SSD drives, but they are expensive and have not been officially approved by Avid.I had the problem on my mid-2011 15' powerbook pro-blocks of. ( 2) Multiprocessors x ( 8) CUDA Cores/MP: 16 CUDA Cores Total amount of global memory: 254 MBytes (265945088 bytes) ![]() Below is the output from deviceQuery:ĬUDA Device Query (Runtime API) version (CUDART static linking)ĬUDA Driver Version / Runtime Version 4.0 / 4.0ĬUDA Capability Major/Minor version number: 1.1 I am not very familiar with how macs handle hardware and I don’t know how to get CUDA to see the other GPU.Īny help would be very appreciated. Now I'ev found gfxCardStatus which would allow me to do so, the problem however is that my mac is running 10.6.8 and I need at least 10.7 to run that program. Basically, it sees the 9400M, but not the 9600M GT. But I managed (thanks to PePe) to discover one. I have not found any solution online to fix this. When one uses VMWare Fusion, the discrete graphics card is enforced, which drains the battery too fast. I was able to compile deviceQuery and its output is at the bottom of this text. With OS X 10.8 gfxCardStatus is no longer capable of enforcing Integrated Graphics card only. NVIDIA GeForce 9600M GT (hopefully to be used for computation with CUDA). 10.11.6 Processor: 2.NVIDIA GeForce 9400M (used for the display), and.I successfully installed the CUDA drivers and development kit on a MacBook Pro. ![]()
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