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    953 python cuda jobs fundet, i prisklassen EUR

    I am looking for someone who can effectively write a super simple C++ program that uses CUDA / GPU for speed, to run the following equivalent of this PHP script (i need millions or billions of calculations per second). It is an infinite loop looking for a correct hash in a sequence of hashes: // START $hash = "D8A928B2043DB77E340B523547BF16CB4AA4

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    Hello, I have to do some openMP and cuda exercises, could you help me?

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    1 bud

    Hello, I have to do some openMP and cuda exercises, could you help me?

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    Hello, I have to do some openMP and cuda exercises, could you help me?

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    1 bud

    Hello, I have to do some openMP and cuda exercises, could you help me?

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    Take existing CFR+ algorithm code written in C and optimise it to be able to run calculation on GPU

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    Hola necesito hacer trabajos de c, omp,cuda.

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    ...object detection by OpenCV image (IplImage). It is based on Darknet YOLOv2. When initializing [log ind for at se URL] library – it automatically detects if CUDA mode can be enabled and then uses it for further work. Depends on CUDA availability [log ind for at se URL] uses [log ind for at se URL] or [log ind for at se URL] respectively. Sources for [log ind for at se URL], ...

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    ...can't train. I am short of time for this project. If you have a nVidia GPU with CUDA enabled. I can provide some sample data and some models to run. You can return me result data and checkpoint files. Two of my models are in Torch7 (Lua version). One model is in Python Keras. All documentation and commands will be provided. You need to screen record

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    I am looking for a CUDA expert who can build github source in windows platform. source url: [log ind for at se URL] for building this source, you have to know about computing vision. If it is available in windows platform, pls contact me. thank you.

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    Hashcat modules Udløbet left

    Hello, I'm looking for a programmer with a strong experience Required skills: - GPU programming using OpenCL /CUDA - Offload heavy computation to parallel GPUs: algorithms, Deep Learning, cryptography. - NVIDIA/AMD Radeon interoperability - Programming for Linux/Windows using C++/C JOB: I'd like to implement a new algorithms as a Hashcat module

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    For all instructions DM me. I have the file that contains the code format and all instructions regarding that.

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    Hashcat modules Udløbet left

    Hello, I'm looking for a programmer with a strong experience in : Required skills: - GPU programming using OpenCL /CUDA - Offload heavy computation to parallel GPUs: algorithms, Deep Learning, cryptography. - NVIDIA/AMD Radeon interoperability - Programming for Linux/Windows using C++/C JOB: I'd like to implement a new algorithms as a Hashcat module

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    Hello, I have a GPU (CUDA) vanity address generator for a crypto token but am looking for someone to see if they can improve the efficiency of it and if interested, what would the cost be. Thank you

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    develop a complete CUDA program for integer matrix addition. You will add two two-dimensional matrices A, B on the device GPU

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    ...that nvidia/cuda is now using CUDA 10.0, and it requires a recent driver. With CUDA 10.0, this check is failing: cuda>=10.0 brand=tesla,driver>=384,driver<385 It's a logical OR between these two expressions: Either you have a driver that supports CUDA 10.0. This is mentioned here: [log ind for at se URL]

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    Needs to hire 2 Freelancers We are looking for designer to design Video object tracking : 1- CPU, CUDA based or FPGA accelerated algorithm . 2- Multi-target Detection/ tracking . 3- Moving object detection . 4- High accuracy , auto scaling , occlusion recovering . 5- fixed camera or moving camera. 6- Image Stabilization . 7- Move on Move tracking

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    ...=>'True' and from [log ind for at se URL] import device_lib print(device_lib.list_local_devices()) => shows GPU So far: I have installed cuda and put bin and lib file from cudnn into cuda directory Added path to environment variable pip installed tensorflow-gpu into conda environment (tensorflow) Nvida-smi shows process GPU in ...tensorflowpyth...

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    I want to speed up a matlab code written for GPU. It will need solid experience of writing efficient matlab codes for GPU by using parallel processing and custom CUDA kernels. Since I precisely know where the code is slow, which are essentially 2-3 lines of the code, it should be a small job for a programmer experienced in this field.

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    I want to speed up a matlab code written for GPU. It will need solid experience of writing efficient matlab codes for GPU by using parallel processing and custom CUDA kernels. Since I precisely know where the code is slow, which are essentially 2-3 lines of the code, it should be a small job for a programmer experienced in this field.

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    I'm creating a solution where a module will be added. This module w...a module will be added. This module will be extracted from a github, public project. This project is written in Python, and uses Caffe framework to make object classification over video files. I need someone to setup this project using CUDA, then test it with ceratain images/videos.

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    i have to find existing primitives and execute them on gpu with c++ or cuda

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    hello, I'm using Ubuntu linux 18.04 and try to install cuda, tensorflow and other machine learning tools on my laptop. I need a linux / AI guru to assist me with that (must be based in London)

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    I am trying to build an inference application using TensorFlow in C++ to be used in an optimization program. I have already built and trained the CNN model using python, and have been able to load it into C++ as a pb file, but I haven’t been able to figure out how to run an inference with my Input type, which is a multidimensional floating number

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    Hello, Keys are not [log ind for at se URL] wont be key duplicates in arrays. There will be a lot of records. For example I want to compare 200000...= [5233,666] int[6] results_keys = [11,5] I want to return keys which exists in both arrays with sorted sum of values from biggest to smallest. You can use Thrust or pure CUDA or whatever what can work very fast.

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    Need to convert FORTRAN code function to Cud a ASP

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    ...have a skylake 8400cpu, nvidea 660Ti cpu. Whether using the gpu with cuda or just the cpu, I don't know which is better. 2. The GUI should be something like shown in the attached picture. I will also need your help explaining setting up the environment for the program, if I need cuda etc... 3. Please don't ask what this project is specifically about

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    if you at least know a bit about bitcoin you will understand me. I have custom written miner and it's needed to be optimized because it can be faster, i know. Algo is SHA224

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    Good Knowledge and Experience implementing SIMD (Single Instruction Stream, Multiple Da...Knowledge and Experience implementing SIMD (Single Instruction Stream, Multiple Data Stream) Architecture, for a mathematical application. Good Knowledge & Experience of GPU / Cuda. Immediate start - 2 to 3 Weeks Fixed Project Languages: Windows - c++ .net core

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    ...up to You. HW will be the Amd A8 32GB + Quadro M4000 Your job will be: Build up the 24/7 NVENC GPU transcoder based on the latest FFmpeg (v4) FFmpeg with latest nvenc cuda drivers. The source will be H264 TS and Mpeg2 TS with multiple audio/ SUBTITLE PID-s and your job is to build 24/7 working daemons (not killed if the source will be down!!

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    ...operating system. Programming languages to choose from for the implementation are Python, R, and C# / .NET (wrapping C++ if needed). The solution has to work for up to 500 thousand measurements (x axis) using a maximum of 11GB RAM and 16 cores on a 3.4GHZ CPU or 3584 CUDA cores on a 1.5GHz GPU and delivering the results within less than a day. Success

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    ...for someone who will optimize an existing python script for me. It is an additional script of the program btcrecover ([log ind for at se URL]) named [log ind for at se URL] ([log ind for at se URL]). Optimized is the number of attempts from which the seed is to be restored (unlimited). And there should be an integration of the GPU (Cuda / OpenCl). Please only bidders with experie...

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    cuda implementation Udløbet left

    Implementing a simple function in JCuda. val byId = [log ind for at se URL]('id).orderBy('id,'term) val cfStraightLine = [log ind for at se URL]('amortType ==="Straight_Line") .select('principal,'ir,'id,'term,'termNb) .withColumn("princ_rpmt", 'principal / 'termNb) .withColumn("opening_bal", 'principal - sum...

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    FFT/IFFT in CUDA Udløbet left

    Develop FFT/IFFT in CUDA to measure and document execution performance.

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    Face recognition Udløbet left

    I need you to write program for me in CUDA (face recognition )would like this software to be developed for Linux using CUDA C or C++.

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    Paralell programming Cuda mpi in C

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    Paralell programming Cuda mpi in C

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    ...software SDK which is using CUDA to process input images to create 3D-data. This SDK should be available under Windows and Linux. We want to have the same code running on booth platforms. Only parts which cannot be ported should be different. We are currently maintaining the project using VS2015. Additionally we are using CUDA, Boost and a couple of other

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    port to cuda Udløbet left

    Python image processing application needs to utilise GPU to improve processing speed. We need to apply CUDA on ARM64 using Jetson TX1/TX2 to speed up Python Numpy processing. We would also like same code to utilise OpenCL for Intel GPU's Please provide quotes Current implementation is less than 500 lines of python with few numpy operations on camera

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    Project completed in C++ and CUDA. Used a variety of data sets proving the complexity of my algorithms and the result times.

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    Hello, i have a Python Miner (SHA224), running on the CPU, I need to change that it would work parallelizing using the GPU (OpenCL, CUDA)

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    I need a CudaMiner Developer for some modifications to match another block header format

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    CUDA Programmer Udløbet left

    1) Sort a 1-dimensional array of double / float

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    CUDA Development Udløbet left

    1) Sort a 1-dimensional array of double / float This should be done in CUDA

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    Hi, I am looking for C/C++ programmer that can help me compete 7 programming tasks. Here they are: 1) Sort a 1-dimensional array of double / float 2) Sort an 2 dimensional with n-colum array of double / float by a single dimension (rowwise or columnwise) 3) Pearson correlation coefficient of two columns in an 2 dimensional N-column array 4) Spearman correlation coefficient of two columns in an 2...

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    Hello All, I am looking for an expert CUDA programmer to complete the following tasks in Windows. Please only apply if you very familiar. Please be prepared to do a coding challenge live. Here are the tasks needed: 1) Sort a 1-dimensional array of double / float 2) Sort an 2 dimensional with n-colum array of double / float by a single dimension

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    Introduction I am looking for a DevOps engineer with AWS and Virtual Desktop experience to create Devtop accounts on AWS to be used for hybrid Python/C++/Cuda/MPI development. Background As of now, I have the ability to create automatically AWS Ubuntu AMIs via Packer, which I can instantiate them via Vagrant or simply launch from the EC2 console

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    Machine learning algorithms cuda implementation We will discuss over chat

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    Machine learning algorithm cuda implementation

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