Пікірлер

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  @zepedro.96 ай бұрын

  atrasado

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  @aleksosp64982 жыл бұрын

  yooooo, man you really help me, big thanks from Russia))

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  @alexarmandomendezperez36292 жыл бұрын

  Thank you

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  @rohanverma7042 жыл бұрын

  bro, I appreciate that you teach the technicalities of the functions as well. No other tutorial stresses on these smaller but still important concepts. thanks

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  @BAPPA_Rawala2 жыл бұрын

  Why is it saying that it requires more input arguments 🙏🙏🙏

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  @maryamh84583 жыл бұрын

  I followed your tutorial, although the command that you used specified the ubunto version to be 18.04 such as: apt-key adv --fetch-keys developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub and also there are many warning in the NVIDIA website for the user of wsl 2 that you did not follow such as : "Note that for WSL 2, you should use the cuda-toolkit-<version> meta-package to avoid installing the NVIDIA driver that is typically bundled with the toolkit." when I run the first test to run the example (/BlackScholes) I got this error: "CUDA error at ../../common/inc/helper_cuda.h:777 code=35(cudaErrorInsufficientDriver) "cudaGetDeviceCount(&device_count)"" and when applied the second docker test I got: " Docker already stopped - file /var/run/docker-ssd.pid not found." please I am waiting your reply,

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  @aishwaryabuyya37933 жыл бұрын

  thankyousir

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  @ayushthakur93653 жыл бұрын

  When I give your code and click on run it says that it needs more input requirements

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  @floxx85333 жыл бұрын

  thank you very much bro i struggled with a basic operator for 2 hours and found it here

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  @ric77023 жыл бұрын

  Very Helpful!!!! Thanks a lot. I have been looking for this for a while

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  @arunrsbalaji41333 жыл бұрын

  Can you please do a video on how to solve 5 equations with 5 unknowns using the same method? It will be really helpful for solving pipe networks...

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  @TheVishnu33333 жыл бұрын

  It's really great to have someone who has done it share the required steps. Thanks a lot for sharing this! How is windows 10 20161 build? Is it buggy? Will I be able to choose to update to 20161 upon joining windows insider or will it update my system to the latest Dev channel build? Thanks again!

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  @unacan3 жыл бұрын

  I noticed that I had missed a command thanks to you 👍

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  @Behnamikdd3 жыл бұрын

  Which axis represents x and which one y? How do we know from our own equations which do not involve x and y?

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  @HaziqAliman3 жыл бұрын

  it helps! thank you so much!

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  @harsharajendran410883 жыл бұрын

  Hello, I have multiple variables with 4 variables and 4 simultaneous equations. Could you tell code for it?

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  @lucyyy7283 жыл бұрын

  oh, thanks! This video helped me a lot :)

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  @owaisali45363 жыл бұрын

  thank you...

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  @ramanansrec83903 жыл бұрын

  docker run --gpus showed oci error

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  @gjubbar3 жыл бұрын

  Hello, Thank you for your effort in this informative video. I actually followed it through , and installed Cudatoolkit 11.0 as of this date (October 2, 2020). Along with docker 2 and all went well. However when running the sample program for the N-body benchmark sample, I receive the following, with an error message at the bottom of the script: ,..... > Windowed mode > Simulation data stored in video memory > Single precision floating point simulation > 1 Devices used for simulation MapSMtoCores for SM 7.5 is undefined. Default to use 64 Cores/SM MapSMtoCores for SM 7.5 is undefined. Default to use 64 Cores/SM GPU Device 0: "GeForce RTX 2080 Ti" with compute capability 7.5 > Compute 7.5 CUDA device: [GeForce RTX 2080 Ti] CUDA error at bodysystemcuda_impl.h:159 code=46(cudaErrorDevicesUnavailable) "cudaEventCreate(&m_deviceData[0].event)" I wonder if you can help with resolving this error message.... System information: wsl2 419.128 version Thank you for your help in advance

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  @SatyajitGhana73 жыл бұрын

  umm not sure about this

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  @dhruvalpb3 жыл бұрын

  Hey I followed everything you did here. But, when I do nvcc -v, it says Command 'nvcc' not found, but can be installed with: And also, nvidia-smi doesnt work for me How to get them both to work?

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  @programmingexception84283 жыл бұрын

  probably nvcc is not there in that container, you'll have to use nvidia/cuda container to use nvidia-smi

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  @programmingexception84283 жыл бұрын

  depending upon your work environment, choose the right cuda container, maybe from the nvidia container registry, for example i had to work with deepstream, so i was using the deepstream container.

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  @dhruvalpb3 жыл бұрын

  @@programmingexception8428 But, when we install cuda toolkit, nvcc also gets installed no?

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  @SatyajitGhana73 жыл бұрын

  @@dhruvalpb umm not sure

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  @deityrocks52933 жыл бұрын

  how do you update the linux kernel?

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  @SatyajitGhana73 жыл бұрын

  the updates are given on Windows Updates, for now i couldn't find a manual way of updating, but after you are on Windows Dev Builds, there is a command to update the kernel.

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  @faysoufox3 жыл бұрын

  Thank you for this video

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  @petero.85663 жыл бұрын

  Thank you for this step by step guide.

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  @ritwik1214 жыл бұрын

  Subscribed.. awesome content .thanks

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  @datavigyan4 жыл бұрын

  thanks you so much for providing the solution

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  @meditationtales58664 жыл бұрын

  thanks

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  @MrBogusXD4 жыл бұрын

  Hello did you have newton method in pdf?

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  @rodneyscott70414 жыл бұрын

  Why did you have to put in the diff of the function?

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  @romail7444 жыл бұрын

  that's how newton's method works

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  @leonardosoto56694 жыл бұрын

  why do you put the derivative manually ,dislike

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  @om2512044 жыл бұрын

  fimplicit not found in my version. how to add it to the version. I am using 2012b

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  @RonaldoEuSi4 жыл бұрын

  Hello, wonderful videos! Love them, but you made an error. 4:00, you first used the dot product, i.e. a*b, then you used matrix multiplication! Never was the crossproduct used, clearifying for future students who might be watching this, this guide is otherwise awesome!