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CUDA (Compute Unified Device Architecture) refers to a parallel programming model by NVIDIA. The platform is implemented by graphics processing units by the same company. CUDA enables users to gain access to virtual instruction sets and parallel computation elements memory. You can practice your skills in this field as you earn money on Freelancer.com.
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    9 jobs found, pricing in USD

    Supply me with a modification of the jcjohnson/neural-style code ([url removed, login to view]) found on Github at [url removed, login to view] so that it reports peak memory usage either for each GPU involved in a multi-gpu run, or for each layer of the neural net. Also, if possible, in cases where the program aborts because it exceeded the memory capacity of one of the GPUs, report how much memory was requested and from which GPU. If you know of a way to obtain this information through some means other than a modification of the Lua script, that would be fine, too. Note, though, that methods such as repeatedly calling the nvidia-smi utility from the command line won't do, because they could miss narrow time slices of temporarily high memory usage by one or more of the GPUs. If you plan to report memory usage per GPU but don't own one (much less a system with multiple GPUs) I'd be happy to test any code you write for you. Thanks!

    $30 - $250
    $30 - $250
    0 bids

    I am looking for an expert-level, reliable numpy developer who can start an existing python project (that already uses numpy) but the components needs to be made much more capable and better performing. Pandas and/or Numba ok. A detailed algorithm spec exists. I prefer to have it running on a GPU/CUDA. The algorithms can fundamentally be parallelized into completely independent tasks. This project requires a close collaboration with me and someone with good English communication skills. Experience in architectural work is also being required; good math skills and data science experience is definitely a plus. I am looking for someone who can start immediately and can dedicate his fully time/attention to this project until it is done. There will be several follow-up projects if I can see that we can work together. For this projects, python 3.6 code has already be developed; I will share documents with qualified developers. Also, if you don't have the time/ability to dedicate your full time to this project until it is done, then please don't apply. After the project is done I will need from you the written confirmation that with my final payment I have received the entire intellectual property within this work for hire project.

    $750 - $1500
    Urgent Sealed
    $750 - $1500
    13 bids

    I have a probit regression model where y = x1 x2 x3 ect. Based on the coefficients from the model I want to plug those values into an algorithm for it to tell me the percentage of y happening

    $149 (Avg Bid)
    $149 Avg Bid
    40 bids
    converstion of c++ to cuda 1 day left
    VERIFIED

    converstion of c++ to cuda. compilation time should be less when we do parallel programming

    $38 (Avg Bid)
    $38 Avg Bid
    9 bids

    Looking for expert is CUDA, C++ , Linux

    $142 (Avg Bid)
    $142 Avg Bid
    16 bids

    Hello, We looking for an senior dev for create an soft for mining e-coin with CUDA - OPENCL language. We can hire you for long time if you are expert on this both language. Thanks you.

    $23 / hr (Avg Bid)
    $23 / hr Avg Bid
    6 bids

    Hello, I want create my own miner soft like Ccminer or Claymore. We looking for an senior dev on CUDA OR OpenCL for create my soft or edit and source code application. Require Experience is important : - More 2 years on CUDA or - More 2 years on OpenCL. If you know environement of mining soft is very an value for us. Post your proposal only if you are an senior dev. Thanks you.

    $11 / hr (Avg Bid)
    $11 / hr Avg Bid
    4 bids

    I need a simple macOS CUDA app that consists of: [1] a macOS command line tool app, C++ xcode project, called HelloCuda [2] the C++ app loads a text file that has 1000 floating point numbers. One number per line. [3] the app loads a CUDA .cu kernel from a separate cu file [4] the CUDA kernel calculates a simple moving average of the data from [2] and returns the maximum and minimum values of the calculated moving averages back to the C++ hosting app. [5] the app must call the kernel to calculate the max and min of the moving averages for the time period 2 through 100. [6] the app must write out those max and mins for each time period to standard out: moving average period, max, min Thanks!

    $115 (Avg Bid)
    $115 Avg Bid
    6 bids

    I need you to optimize my cuda code.

    $130 (Avg Bid)
    $130 Avg Bid
    12 bids

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