Supported SM and Gencode variations for CUDA library miners


  • Staff

    Below are the supported sm variations and sample cards from that generation

    Supported on CUDA 7 and later
    Fermi (CUDA 3.2 and later, deprecated from CUDA 9):
    SM20 or SM_20, compute_30 – Older cards such as GeForce 400, 500, 600, GT-630
    Kepler (CUDA 5 and later):
    SM30 or SM_30, compute_30 – Kepler architecture (generic – Tesla K40/K80, GeForce 700, GT-730)
    Adds support for unified memory programming
    SM35 or SM_35, compute_35 – More specific Tesla K40
    Adds support for dynamic parallelism. Shows no real benefit over SM30 in my experience.
    SM37 or SM_37, compute_37 – More specific Tesla K80
    Adds a few more registers. Shows no real benefit over SM30 in my experience
    Maxwell (CUDA 6 and later):
    SM50 or SM_50, compute_50 – Tesla/Quadro M series
    SM52 or SM_52, compute_52 – Quadro M6000 , GeForce 900, GTX-970, GTX-980, GTX Titan X
    SM53 or SM_53, compute_53 – Tegra (Jetson) TX1 / Tegra X1
    Pascal (CUDA 8 and later)
    SM60 or SM_60, compute_60 – GP100/Tesla P100 – DGX-1 (Generic Pascal)
    SM61 or SM_61, compute_61 – GTX 1080, GTX 1070, GTX 1060, GTX 1050, GTX 1030, Titan Xp, Tesla P40, Tesla P4
    SM62 or SM_62, compute_62 – Drive-PX2, Tegra (Jetson) TX2, Denver-based GPU
    Volta (CUDA 9 and later)
    SM70 or SM_70, compute_70 – Tesla V100
    SM71 or SM_71, compute_71 – probably not implemented
    SM72 or SM_72, compute_72 – currently unknown


 



Want 10% more hash from your rigs?



We promise to keep your email safe and never spam you.



Copyright (c) 2017 PiMP LLC. All rights Reserved.

Looks like your connection to PiMP Forum was lost, please wait while we try to reconnect.