To participate, please download MCXLAB and run the mcx_gpu_contest.m script (under examples) inside MATLAB. Simulations involving more than 2x GPUs are marked with white edges, and are scaled differently.
| Submitter | GPU | Score |
|---|---|---|
| fangq | / 12x GTX 1080 Ti / mcx1(cuda7.5) | |
| fangq | / 11x GTX 1080 Ti / mcx1(workshop prep) | |
| fangq | / 8x GTX 1080 Ti / mcx1(workshop prep) | |
| fangq | / 5x GTX 1080 Ti / mcx1(workshop prep) | |
| fangq | / 3x GTX 1080 Ti / mcx1(workshop prep) | |
| fangq | / 2x Graphics Device / taote_2xTitanV(cuda7.5_387.34) | |
| fangq | / 2x Graphics Device / taote_2xTitanV(cuda9_387.34) | |
| MultiFunkIm | / 2x GTX 1080 Ti / django (CUDA7.5-381.22) | |
| fangq | / GTX 1080 Ti /GTX 980 Ti / taote_CUDA7.5_375.66 | |
| X. Meng | / Li Server Dual GPU | |
| fangq | / GTX 1080 Ti /GTX 980 Ti / taote_CUDA7.5_375.66 | |
| fangq | / 2x GTX 1080 / fuxi_CUDA7.5_377.51 | |
| Elan | / 2x GTX 1080 / Host-i7-6850K-WIN10 | |
| fangq | / Graphics Device / taote_TitanV(cuda7.5_387.34) | |
| fangq | / Graphics Device / taote_TitanV(cuda9_387.34) | |
| fangq | / GTX 980 Ti /GTX TITAN X / hoyi(CUDA7.5-367.35) | |
| django | / GTX 1080 Ti / django | |
| MultiFunkIm | / GTX 1080 Ti / django (CUDA7.5-381.22) | |
| fangq | / GTX 1080 Ti / taote_CUDA7.5_375.66 | |
| fangq | / GTX 980 Ti /GTX TITAN X / hoyi | |
| Elan | / 2x GTX 1080 / Host-i7-6850K-3.8Ghz | |
| fangq | / 2x GTX 980 Ti / wazu | |
| X. Meng | / GTX 1080 Ti / Li Server | |
| fangq | / GTX 1080 / wazu_CUDA7.5 | |
| Nich D. | / GTX 1080 / HR2 | |
| Elan | / GTX 1080 / Host-i7-6850K-WIN10 | |
| fangq | / GTX 980 Ti / hoyi(CUDA7.5-367.35) | |
| fangq | / GTX 1080 / wazu | |
| VisionLab | / GTX 1080 Ti / GTX 1080 Ti | |
| Nich D. | / Graphics Device / HR2 | |
| Jenson | / GTX 1080 / GTX 1080 | |
| mvb | / GTX 1080 / vbn | |
| fangq | / GTX TITAN X / hoyi(CUDA7.5-367.35) | |
| fangq | / GTX 980 Ti /GTX 590 / wazu | |
| fangq | / GTX 980 Ti / wazu | |
| ilyas_s | / GTX 1070 / i7_GTX1070 | |
| Elan | / GTX 1080 / Host-i7-6850K-3.8Ghz-Device-GTX1080 | |
| fangq | / GTX 980 Ti / wazu | |
| fangq | / GTX TITAN X / hoyi | |
| blackhorse21 | / Quadro P4000 / Wearn Desktop | |
| blackhorse21 | / Quadro P4000 / Wearn Desktop | |
| blackhorse21 | / Quadro P4000 / Wearn Desktop | |
| fangq | / GTX 980 / mcphoton | |
| fangq | / Tesla K20c /Tesla K40c / kepler1 | |
| fangq | / GTX 1050 Ti / zen_CUDA8_win10 | |
| blackhorse21 | / GTX 1050 Ti / Wearn Desktop | |
| NDana | / GTX 770 / HR2 | |
| Yang | / Tesla K40c / Planck | |
| fangq | / Tesla K40c / kepler1 | |
| fangq | / 2x GTX 590 / wazu | |
| fangq | / Tesla K20c / kepler1 | |
| FiksII | / GTX 680 / FiksPCWork-2 | |
| FiksII | / GTX 760 / FiksPCHome | |
| fangq | / GTX 590 / wazu | |
| ZCAI | / Tesla C2070 / vava | |
| fangq | / GTX 470 / kwafoo | |
| Eidantz | / 930MX / Asus X556U | |
| FiksII | / GTX 560 / FiksPCWork-1 | |
| fangq | / GT 730 / wazu |