Cuda jobs

I'm in need of a C# 4.7.2 WinForms based GUI application. This app is intended to check my CUDA and Python environment for machine learning and deep learning readiness. The application should also run basic tests for these fields. Features: - Check for CUDA and Python compatibility and readiness - Conduct basic machine learning and deep learning tests - Display error messages when issues are detected The application does not need to generate any reports, but it should be able to clearly display error messages when it detects an issue in the environment. Ideal skills for this project: - Proficiency in C# and WinForms - Familiarity with CUDA and Python - Understanding of machine learning and deep learning concepts - Ability to create user-friendly GUI applicatio...

...machine learning principles, including experience with supervised, unsupervised, and reinforcement learning. Data Handling: Experience working with large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. Performance Tuning: Expertise in optimizing models for real-time deployment, particularly with GPU acceleration technologies like CUDA or TensorRT. Tools & Libraries: Proficiency in OpenCV, scikit-image, and other relevant computer vision libraries. Experience with version control systems like Git. Hardware Integration: Proven ability to integrate computer vision libraries with hardware devices, particularly wired and wireless CCTV cameras. Project Experience: Previous experience in projects involving human ...

I'm facing issues with connecting CUDA to my NVIDIA GPU on my Ubuntu 22.04 system. The drivers are installed and detected, but CUDA isn’t connecting properly. I'm running my training scripts in Jupyter Notebook, and I'm unsure how to check if the CUDA toolkit and cuDNN library versions are compatible with my installed GPU drivers. Ideal candidates for this project should have: - Extensive experience with CUDA installations on Ubuntu - Proficiency in troubleshooting CUDA and NVIDIA GPU connection issues - Familiarity with Jupyter Notebook and its configurations for GPU training - Ability to check and ensure compatibility between CUDA toolkit, cuDNN library, and GPU drivers - Willingness to offer the lowest bid I would greatly...

...principles and experience with supervised, unsupervised, and reinforcement learning. 5. Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. 6. Performance Tuning: Expertise in optimizing models for deployment in real-time systems and experience with GPU acceleration (e.g., CUDA, TensorRT). 7. Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git. 8. Analytical Skills: Strong analytical and problem-solving skills with the ability to think creatively and develop innovative solutions. 9. ENGLISH Communication: Excellent written and verbal communication skills, with the abil...

I'm looking for an expert who can help me install YOLOv10 on my NVIDIAJetson Nano for object detection. Key Requirements: - Install YOLOv10 specifically for object detection tasks. - Setup additional necessary software: OpenCV, CUDA Toolkit, and TensorRT. - Ensure the system is optimized for real-time performance. Ideal Skills: - Deep understanding and experience with YOLO and Jetson Nano. - Proficiency in computer vision libraries, particularly OpenCV. - Familiarity with CUDA Toolkit and TensorRT. - Experience with optimizing systems for real-time object detection.

I'm seeking a professional with experience in Python packaging to convert my Gaussian Splatting Python codes, which utilize PyTorch, CUDA, and other dependencies, into a single Windows installable program. Key Requirements: - Proficiency in Python, specifically with version 3.8. - Extensive experience with Windows program installation packaging, particularly .msi (Microsoft Installer). - Strong understanding and experience in scientific computing, machine learning, and data visualization, as my code is intended for these purposes. - Familiarity with PyTorch and CUDA. - Make document of how I can make pack by myself again. Your task will be to ensure the resulting .msi file is fully functional, allowing for easy installation and use of the program on a Windows system.

I'm looking for a skilled programmer who can translate some of my Matlab code into CUDA. The main goal of this project is to improve the performance of the code by utilizing the capabilities of the GPU. Key Tasks: - Identify and optimize matrix operations in the Matlab code; . - Translate the optimized code into CUDA. - Run speed tests on the latest GPU to measure performance improvements. Use Intel's MKL library code symv in the GPU The Matlab code primarily processes numerical data, so familiarity with handling this type of data is crucial. The ideal candidate for this job should have extensive experience in both MATLAB and CUDA programming, with a strong focus on performance optimization. Knowledge of working with numerical data is also essential. I ...

I'm seeking a talented CUDA developer to optimize my existing code. This project primarily involves enhancing the performance of data processing tasks. Key focus areas for optimization: - Speed: Minimizing the time taken for data processing. - Efficiency: Reducing resource usage while maintaining performance. - Scalability: Ensuring the code can handle increasing volumes of data without a loss in performance. Skills and experience that would be beneficial: - Extensive knowledge and experience with CUDA. - Proven track record in code optimization. - Experience in data processing tasks. - Ability to improve speed, efficiency and scalability of code.

We are seeking a talented RUST developer to adapt our crypto project code from CPU to GPU using CUDA. The project currently involves decrypting and qualifying solutions using CPU, but we want to optimize performance by utilizing GPU. Your responsibilities will include modifying the existing codebase, implementing CUDA technology, and ensuring seamless integration with the project. We are looking for someone with a strong understanding of cryptography, CUDA programming, and parallel computing. The ideal candidate should have experience in optimizing algorithms for GPU and working with complex cryptographic systems. If you are passionate about both cryptography and GPU programming, we would love to hear from you!

We are seeking a talented RUST developer to adapt our crypto project code from CPU to GPU using CUDA. The project currently involves decrypting and qualifying solutions using CPU, but we want to optimize performance by utilizing GPU. Your responsibilities will include modifying the existing codebase, implementing CUDA technology, and ensuring seamless integration with the project. We are looking for someone with a strong understanding of cryptography, CUDA programming, and parallel computing. The ideal candidate should have experience in optimizing algorithms for GPU and working with complex cryptographic systems. If you are passionate about both cryptography and GPU programming, we would love to hear from you!

We are seeking a talented RUST developer to adapt our crypto project code from CPU to GPU using CUDA. The project currently involves decrypting and qualifying solutions using CPU, but we want to optimize performance by utilizing GPU. Your responsibilities will include modifying the existing codebase, implementing CUDA technology, and ensuring seamless integration with the project. We are looking for someone with a strong understanding of cryptography, CUDA programming, and parallel computing. The ideal candidate should have experience in optimizing algorithms for GPU and working with complex cryptographic systems. If you are passionate about both cryptography and GPU programming, we would love to hear from you!

Analysis of the code and the paper. To make report with possible enhancements

I'm looking for a CNN optimization expert who can enhance the speed of my current Cuda based CNN. Key Responsibilities: - Speed up current Cuda based CNN optimization - Integrate advanced architectural changes to enhance speed - Incorporate EfficientNet into the existing architecture Ideal Skills: - Extensive experience with Nvidia Cuda and CNNs - Deep understanding of EfficientNet - Proven track record of enhancing speed in CNNs - Ability to integrate advanced architecture changes Please provide examples of previous work that align with this description. Paper writing - Enhance base paper with minimum of 7-8pages in IEEE paper format Reference base paper - Enhanced CNN optimization by using task parallelism

I'm seeking a professional adept in CUDA optimization, particularly in task parallelism techniques, to enhance the performance of a parallel Kalman filter algorithm for lidar localization. Key Responsibilities: - Optimize the Kalman filter implementation using task parallelism in CUDA to ensure efficient processing and improved performance. - Work closely with the existing algorithm to maintain its integrity while enhancing its speed and efficiency. Ideal Skills: - Extensive experience with CUDA programming and optimization. - Deep understanding of the Kalman filter and its implementations. - Proven track record in using task parallelism techniques. - Strong problem-solving skills and attention to detail. Your expertise will enable us to achieve real-time perfo...

...the following formats: > (instruction, input, output) > (conversations) > (question/answer) Preprocess for instruction training/align have to use the same script used for pretraining. - Inference script using cpu and cuda; - Explain on README how to use for model eval (optional). All training codes have to show the progress of loss eval in the terminal. The winner have to fork and publish in your own github profile and give me the link; or have to send me direct the code if prefer. We will evaluate the codes in an 8xH100 PCIe node (if loss decrease and converge)

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I'm interested in training an image recognition model on a large dataset using Pytorch and CUDA. Key aspects of the project include: - Utilizing Pytorch for the development of the image recognition model - Exploiting the power of CUDA for faster training and processing I need a skilled professional with: - Strong background in deep learning and Pytorch - Expertise in optimizing models for CUDA - Prior experience with large-scale image recognition datasets Please note that the dataset I'm working with is more than 100GB.

...skilled and experienced C++ CUDA developer to assist with a cryptographic key generation project. The primary objective is to generate both symmetric and asymmetric cryptographic keys. Additionally, the project involves integrating new private key generation code into the existing keyhunt CUDA project and modifying the program to run without requiring range parameters. Key Responsibilities: Develop efficient cryptographic key generation processes using CUDA technology. Integrate and update the provided private key generation code into the keyhunt CUDA project. Remove the range parameters from the keyhunt program to enable operation without specifying ranges in the command line. Ensure the code adheres to best practices in both cryptographic key generation a...

I require a skilled Python and CUDA expert to change my custom python code into Cuda for private keys. Currently, I'm using Python for my project and I aim to port the existing Python code to C++ and optimize it using CUDA for parallel computing. Key responsibilities: - Porting existing Python code to C++ - Code optimization to enhance speed and efficiency - Algorithm development with a focus on parallel computing using CUDA Primary goals: - Increase the speed of the code - Implement efficient memory usage - Enhance the accuracy of calculations The ideal candidate will possess: - Strong proficiency in Python and C++ - Significant experience with CUDA for parallel computing - Proven track record in code optimization - Previous experienc...

I need an intermediate-level coder well-versed in CUDA and parallel programming to solve some specific assignments related to image processing. - Tasks: The work involves implementing and executing image enhancement techniques, image segmentation, and object detection through GPU assignments using CUDA. - Skills: Ideally, you should have prior experience addressing similar CUDA-based image processing tasks and a strong foundation in parallel programming. - Outcome: Successful completion of these assignments would mean accurate and efficient execution of image processing tasks on GPU using CUDA programming. Ready to dive in? Your expertise in CUDA programming can solve the riddles of these intermediate-level GPU assignments.

I am looking for a skilled developer with expertise in Go Language and Nvidia CUDA. The project involves taking an existing vanity generator written in Go and changing it from CPU to GPU processing for performance improvement. I have a vanity generator code from github, i want to run it on nvidia cuda and see, it has been written to run on cpu so we have to change it to run on gpu Key Requirements: - Experience with Go Language and Nvidia CUDA. - Understanding of vanity generator algorithms. - Ability to optimize code for GPU processing. - Good communication skills and the ability to provide detailed project proposals.

I need an expert to help me install Tensorflow GPU, CUDA, cuDNN, and TensorRT on my Ubuntu 22 system. - Specifically looking to install TensorFlow latest - Verification required via a Python script using Tensor GPU and TensorRT - Successful freelancers should have proven experience in similar installations - Please include your relevant experience in your application.

I require assistance with installing and setting up a GroundingDINO project on my Windows PC. I freely confess that I have no previous knowledge or experience working with Python and PyTorch but am willing to learn with the right guidance. The ideal candidate for this job should: - Exhibit expertise in Python and PyTorch - Have solid experience with CUDA programming and its integration with PyTorch - Be comfortable with setting up software in a Windows environment - Have successfully executed similar projects in the past The main goal is to get the GroundingDINO project up and running on my system, with some explanation of how things work along the way. Your assistance with this project should enable me to better understand how each of these components interact with each other. ...

I'm seeking a talented individual experienced in Nvidia CUDA & Go language for GPU programming and parallel processing tasks. Although I've not identified specific data processing or machine learning needs, there is potential for such functionalities. The complication is uncertain but might involve handling large datasets. Your key expertise should be: - Proven experience in GPU programming, ideally with the use of Nvidia CUDA. - Command over the Go language. - Solid record in implementing parallel processing. Previous experience in handling and processing large amounts of data would be beneficial, given the likely project needs. The primary tasks will center around processing utilizing Nvidia CUDA and the Go language. If you’re up for a challen...

I urgently require an experienced CUDA programmer who has proven experience in parallel programming and GPU optimization tasks. Requirements: - A strong background in CUDA development, with expertise in parallel programming and GPU optimization. - An understanding of memory management will be a plus, but it's not a primary requirement. - Familiar with operating NVIDIA GPU and using the CUDA toolkit. Knowledge in C/C++ and Python will be an advantage. - Must have the necessary software and hardware setup, including a NVIDIA GPU and the CUDA Toolkit. This project is ideal for highly skilled CUDA developers who are ready to hit the ground running. Proven experience is necessary. Looking forward to your bids.

I'm in need of an experienced CUDA GPU coder, particularly with experience in Betfair, for a comprehensive trade software project. The primary objective of this project is to significantly enhance the speed of trading decisions through real-time market data processing. Key Requirements: - Proficiency in CUDA GPU coding - Prior experience working with Betfair - Strong understanding of real-time market data processing - Ability to optimize the software to enhance trading decision speed It's important that you have a track record of working on similar projects and can provide examples of how your work has significantly improved the trading capabilities of the software you've worked on.

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I'm currently using Ubuntu as my operating system. I'm looking for someone who can create a Dockerfile and make it accessible via Dockerhub. For project: Please note that the Dockerfile should be...looking for someone who can create a Dockerfile and make it accessible via Dockerhub. For project: Please note that the Dockerfile should be created in a way that is easy to use and accessible to others. Ideal Skills and Experience: - Proficiency in Docker and creating Dockerfiles - Understanding of Python, particularly Python 3.7 - Experience in setting up CUDA for GPU support within a Docker image This project is ideal for someone with experience in creating Docker images for Python projects and using GPU support.

...would like to use the coiflet1~5 freely depending on the input). The only language that can be used is cuda, and we would like you to create x,y,z parallel or two types of x,y parallel code, using the following website as a reference. Also, we would like you to use this namelist to set the xyz number of images and other parameters for coiflet3-5, and to input all the data. (Please do not use C macros to set values). If possible, all arrays to be handled should be newelist. If possible, please treat all arrays dynamically with new/free and do not use static arrays (small arrays in the kernel are acceptable, but please make them as dynamic as possible). %83%88%E5%A4%89%E6%8F%9B

1. Hi, I'm seeking to comprehend this Flash Attention paper. 2. The paper contains many computer science concepts, such as IO complexity and the process of storing memory into HBM versus SRAM. I suspect that I may even need to grasp CUDA programming to thoroughly understand the content. I'm keen to discuss this paper and its concepts with someone who is well-versed in these areas, and to review the paper together. 3. Ultimately, I hope to gain sufficient knowledge to implement the content into my elementary, large language model, which I may create from scratch, and witness its faster training rate, among other things. 4. If you've read up to this point, please include "I know how to do it" at the beginning of your proposal. 5. If our collaboration pr...

I have a raw data stream arriving on my Nvidia Jetson Orin device via /dev/video0. The stream is in Grayscale (RG12, 12bit) format and I need assistance in creating Python code to receive this stream and make it available in a CuPy array. The...Jetson Orin and store as an array - Use Python 3.9+ for the codebase - Process the data array for real-time monitoring - Do not copy data between CPU and GPU memory, as one frame is 17MB in size Ideal freelancer for this project should have: - Extensive experience with Python, particularly in real-time data processing - Prior experience with Nvidia Jetson devices and GPU computing - Proficiency in CUDA and CuPy for GPU memory management - Strong understanding of Grayscale data processing - Good communication skills for clear updates and coll...

I'm in need of a skilled individual who can help me set up OpenCV on a Tesl...language. The solution you provide must be generic enough to ensure that OpenCV can be installed on any other GPU in the future. Key Requirements: - Installation and setup of the latest version of OpenCV on a Tesla T4 GPU, leveraging CUDA and cuDNN. - Ensure functionality is maintained for Image Processing and Video Analysis. - Implement the solution in Python. - Provide thorough documentation for future reference. Ideal Freelancer: - Should have significant experience in working with OpenCV and GPU setups. - Proficiency in Python and a good understanding of CUDA and cuDNN. - Previous experience in configuring and deploying OpenCV on various GPU models. - Strong background in image processi...

I urgently need an expert, ideally possessing extensive knowledge in CUDA, cuDNN, and Anaconda, to help configure my Windows system. the GPU cuda was working , and wen I tired to use ViT (Vision Transformer) and I installed I got some error and does not work any more Key requirements include: - Setting up CUDA and cuDNN on my Windows system using Anaconda. The specific Anaconda version being used is yet to be determined. - Comprehending the exact statuses of the graphics card installed in my system. - Demonstrating how to utilize the GPU in Jupyter Notebook with Vision Transformer (ViT). The essence of this project is to gain a grasp on how to leverage GPU resources efficiently and then apply those skills into the Vision Transformer. The task requires a high le...

... This promises to be an adventure into the world of blockchain technology, distributed consensuses, and GPU programming. Precisely, I need somebody with experience in the following: - Understanding blockchain basics. No prior experience with blockchain is necessary, but it would be advantageous. - Implementing Proof of Work as the preferred consensus algorithm in our project. - Being adept at CUDA GPU programming techniques, we will mainly focus on memory optimizations, asynchronous operations, and multi-threading tasks. For this project, proficiency in GPU programming and a deep understanding of distributed system principles will be crucial. Your theoretical knowledge in blockchain technology is beneficial. If you are willing to embark on this ambitious project, your expertis...

I am looking for an experienced developer who can use Cython to wrap my existing CUDA code. This is a relatively simple code that is currently used for data analysis. Task: This is done in Linux (ubuntu). I had a old cython code that used to be able to connect with the CUDA code, i think the newer version of CMake changes had made it impossible. I have attached a small reduction of the code, it is pretty much just calling a CUDA kernel from the Python using Cython. The CMake builds, but when the Cython is imported the symbol cannot be found. (to build you need to define an environment variable CUDAHOME points to your nvcc) Steps: 0 (optional) you can Make the cuda code inside to check if it works (1) run (with CUDAHOME env var) (2) run (fail at this point a...

I urgently need an expert to install CUDA on my Ubuntu Linux system for Tensorflow and Pytorch

I urgently need an expert to install CUDA on my Ubuntu Linux system for Tensorflow and Pytorch

skilled ffmpeg expert to work on a live transcoding project. - CMS should be built in laravel. it should use nginx for hls streaming with user pass and ip restriction protection. it should have all encode decode options for h264 and h265 with cuda / nvenc encode /decode i have system wit 4x rtx quadro 4000 so the system should have also option to select from wich gpu wich channels are going to transcode. it should have realtime datalogics like incoming outgoing network metrics realtime each gpu utilization of encoder/decoder graphic based utilization of ram and cpu. page with show all live streams/offline streams with options restart stop delete edit buttons streams should show with realtime datas like uptime speed codec bitrate connected users on stream count. user managem...

Hi I will generate the CUDA code for you Regards

Seeking an expert in CUDA development with proficiency in C++, specializing in GPU programming. This project involves the following: • GPU programming in C++ • Strategies to introduce parallel algorithms in a GPU-friendly manner The ideal candidate will showcase the ability to optimize code to run various algorithms efficiently and in parallel using CUDA. Strong background in GPU-specific matrix operations and image processing will be a bonus but isn't mandatory. This project revolves around perfecting performance and reliability, and is an excellent opportunity for those adept in the mentioned domains.

I'm looking for a skilled professional who can set up CUDA and cuDNN on my Windows system with Anaconda, along with a demonstration of how to use the GPU in Jupyter Notebook. Key Requirements: - Installation of the latest versions of CUDA and cuDNN - Configuration within the Anaconda environment - Successful demonstration of GPU utilization in Jupyter Notebook Ideal Skills: - Proficiency in working with Windows operating system - Strong experience with Anaconda and Jupyter Notebook - Prior knowledge of CUDA and cuDNN installations - Ability to demonstrate GPU utilization in Python Note: Your bid should reflect both the installation setup and the demonstration process. Please provide an estimated timeline for the completion of this project.

I'm looking for a skilled Python developer with experience in GPU programming using CUDA to assist in a project that involves image processing and data analysis. - I have a python code and I need to modify it to work with GPU the code takes an image changes its pixels one by one and each pixel change calculates new image hashes if images hash satisfies some specs it save image and code ends. this is whole python code is doing now. it is a 40 lines code. very simple for someone who knows how to code on cuda.

...headaches. To set the scene, the videos I'm dealing with are low resolution and have short durations. I've customized the ffmpeg settings for the conversion process but it seems like my attempts are doing more harm than good. Here's where you come in. I need an expert to handle the optimization of the ffmpeg settings for the GPU. I am not looking for a quick fix and not necessarily to address the CUDA error right away, but primarily to set up a robust and efficient conversion system that will prevent such issues in the future. Ideal candidates should have: - Extensive experience with ffmpeg - Knowledge of GPU settings - Experience in dealing with memory issues - Patience to optimize until the best setting is found - Experience with video websites or adult co...

I need an expert in ffmpeg & CUDA for fast video encoding. Optimized encoding commands need to generate MP4 files that are similar in size to downloaded videos, but the encoding process must be expedited via GPU usage. Key Requirements: * The result should be in MP4 format. * Video quality and encoding speed are crucial. * The target video resolution is 480p. Ideal Skills: * Extensive knowledge of ffmpeg and CUDA. * Experience in video encoding, particularly fast encoding. * Detailed understanding of optimizing for video quality and speed under specific resolution constraints(i.e, 480p in this case).

I'm in need of a freelancer who is proficient in converting MATLAB Signal Processing programs into CUDA using GPU coder. Not just any freelancer, but one who has hands on experience using a Jetson Nano, with the CUDA toolkit already installed. The complexity level of the MATLAB program to be converted is intermediate, so it's essential you are experienced yet up for a bit of a challenge with your DSP skills. Key Skills: - Proficiency in MATLAB and CUDA programming language - Familiarity with the NVIDIA Jetson Nano - Experience with intermediate Signal Processing - Hands-on expertise in GPU coder

I'm looking for an expert who can help in installing CUDA, cuDNN, and spconv in order to ensure my image recognition model runs smoothly. The model should be installed on a Windows WSL machine, which I will give access to through AnyDesk. Everything is already installed on it, but for some reason it doesn't work. I need someone to go through all the things again and check the versions to see if they are compatible. This is the link to the model : If you can do it and have experience in doing that, contact me!

As an individual working in the signal processing industry, I'm currently running a project that needs some expert technology adaptability. The project involves: - Converting an existing Matlab code into CUDA. - Ensuring the code correctly executes Fourier transforms when run on a Jetson Nano platform. The ideal candidate for this assignment would have: - An extensive working knowledge of Matlab and CUDA. - Strong experience in handling signal processing tasks, especially Fourier transforms. - Proven experience in dealing with the Jetson Nano platform. - Excellent debugging skills to ensure the proper functioning of the transferred code. If you possess these skills and experience, feel free to submit a bid. Looking forward to working with a proficient and dedicated f...

I require a skilled professional comfortable with Linux system administration. A very important part of this project is the Installation of FFMPEG with CUDA support on an Almalinux 8 server, implemented on a 1080ti card. Key Requirements: - You must be comfortable with Linux server administration, specifically AlmaLinux 8. - You must be able to install the latest version of FFMPEG. - CUDA support on the FFMPEG must be duly enabled. - The main goal after installation is to achieve top-notch video encoding performance. - Professional experience or technical understanding of video encoding software and processes is a plus. - You must have prior experience or know-how dealing with Nvidia graphics cards, particularly the 1080ti model. I have root/administrator access to the s...

I require a proficient CUDA programmer to rewrite an existing Python program. The primary purpose of the software is to perform data analysis. Key Details: * The type of analysis hasn't been disclosed but expect handling diverse data sources. * Time is of the essence, I need the rewritten software ready ASAP. Ideal proficiency: * Deep understanding of both Python and CUDA programming environments. * Previous experience handling data analysis software will be advantageous. * The ability to deliver under tight deadlines while maintaining the quality of work is crucial.

I have developed a computer vision code for 3 cameras to detect a specified object using a mask that I setup. The code is working but it is very slow. I also tried with Nvidia CUDA, but it did not give the expected results, I want someone to check the code and make necessary optimizations to make it as fast as possible.