Gpu caps viewer opencl no11/24/2023 Until Mesa fully supports OpenCL 1.2, we have a similar problem, fortunately, we have an ‘easy’ solution, use the proprietary driver which DOES work. * chips named GF11x where x is some number The folder feels we are picking on still suffers from Fermi, I refuse to help make phase 2 Fermi work, I don’t want to work badly. Projects would complete faster if they rejected Fermi GPUs at startup, rather than waiting for a slow chip to fail later.īecause Nvidia uses multiple GPUs in a card they name the same, some GT 730s are first phase Fermi, which never works, some are Kepler, which always works. If the number of GPU cards in the GPU Caps Viewer is incorrect, update the GPU drivers to. It is hard to black list a GPU which is still mostly working. Passware tip: Passware Kit supports devices with OpenCL 1.2 or higher. “I lose my bonus points because I did not complete 80% of my Work Units” “I have a Fermi GPU and he has a Fermi GPU and HE gets to fold, and I is ‘broken’ because my GPU fails so often” However the phase 2* Fermi chips do part of OpenCL 1.2, let say 75% of proteins complete and 25% fail. There is an Nvidia architecture called Fermi, none of the Fermi GPUs do all of OpenCL 1.2 ) Success ĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)ĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platformĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)ĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platformĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No devices found in platformĬlCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (1) ) CloverĬlGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL. Max constant buffer size 67108864 (64MiB)ĭevice Extensions cl_khr_byte_addressable_store cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp64 cl_khr_extended_versioningĬlGetPlatformInfo(NULL, CL_PLATFORM_NAME. Minimum alignment for any data type 128 bytesĪlignment of base address 32768 bits (4096 bytes) Single-precision Floating-point support (core)Ĭorrectly-rounded divide and sqrt operations Noĭouble-precision Floating-point support (cl_khr_fp64) Half-precision Floating-point support (n/a) Platform Version OpenCL 1.1 Mesa 21.2.0-devel (git-d81a6e5 focal-oibaf-ppa)ĭevice Name AMD Radeon(TM) Vega 11 Graphics (RAVEN, DRM 3.40.0, 5.12.2-051202-generic, LLVM 12.0.0)ĭevice Version OpenCL 1.1 Mesa 21.2.0-devel (git-d81a6e5 focal-oibaf-ppa) Prerequisites should be fine, just folding isn't: Seems no one on their team is giving a male chicken's donkey about it. I waited one year after my initial post about it, and it seems nothing happened to make use of all the integrated AMD graphics users on a linux (default - mesa) system. Putting my hand up, to show that I am also a Linux-user with mesa drivers and installed opencl-icd, and still are unable to fold with the GPU part of my AMD 2400G.
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