Open, Reproducible Science/ ". Please take advantage of this automated tool and save your time for organizing and converting your datasets! For the Hackathon part, if you don

Open, Reproducible Science/ ", which I am co-guest-editing with Drs. Meryem Yücel (BU), Alex von Lühmann (TU Berlin, Germany), and Adam Eggebrecht (WashU St. Louis). This special

is not reproducible) > > > https://github.com/fangq/mcx/blob/v2024.2/src/mcx_core.cu#L3115-L3119 > > > > I have updated the documentation to reflect

computing, reproducible simulations and building advanced data processing pipelines will be our key focuses and I had designed the questionnaire to gather important information

easily > reproducible. Lastly, DO NOT USE a mac. Apple and NVIDIA had abandoned > each other two year ago, and CUDA no longer works on Mac and Mac no > longer supports nvidia GPUs

is exactly reproducible is when the >> thread scheduler executes threads in an deterministic logic/order, which >> can not be guaranteed by most multi-threading environments

streamlined and reproducible (due to different VS/cuda versions, software paths settings on windows are also quite chaotic) try it, let me know if I can be of further help. Qianqian

expected to reproducible; as a result, the RNG seed used for each photon inside each thread are also supposed to be exactly reproducible. when you use replay to save RNG seeds (128 bit

> somewhat reproducible results, but setting to 0 or negative value can not > do the same. > > > Qianqian > > > > I would greatly appreciate your answer, thank

> exactly reproducible as long as the same RNG seed is used. hi Kris exact reproducibility has not been a guarantee on the GPU, it just happened that NVIDIA GPUs gives "nearly

Dear colleagues, I am glad to let you know that JBO will be publishing a new special issue on Monte Carlo (MC) methods and open-source MC simulators

are not reproducible, > see attachemts. DefaultSeeds.png show the results for your first > suggestion. Seeds-E7777777flag.png shows the results for your second > suggestion

Hello Dr. Fang, Thank you for looking into this and fixing it. I have been playing around with the nightly build on Windows 10 and it seems to be

It also woks with the nightly build version now. Thanks again. make mex nvcc -c -lineinfo -Xcompiler -Wall -Xcompiler -fopenmp -m64 -DUSE_ATOMIC -

On 06/23/2017 02:44 PM, Javier wrote: > Hi Dr Fang and everybody, > > I'm having a problem running mcxlab in linux. The problem is a >

consistent and reproducible way, please let me know, it might be a bug, and I definitely need to fix it. Let me know if you can fix your 1080 speed. If you manage to do that, your dual 1080

problem is reproducible, please submit a Service Request via: http://www.mathworks.com/support/contact_us/ A technical support engineer might contact you with further information

problem is reproducible, please submit a Service Request via: >>> http://www.mathworks.com/support/contact_us/ >>> >>> A technical support engineer

On 04/20/2016 06:33 PM, Nicholas Dana wrote: > So I tried recreating the issue by running mcxlab on a 2nd machine, > still Windows 7 with CUDA

Dear Dr.Fang I run your mcx code several times by changing the number of threads to obtain optimal