CUDA is a parallel computing platform and programming model invented by NVIDIA, made available to enable developers to more quickly and easily develop applications that perform high-performance computing. It allows developers to create applications across multiple computing platforms. This can benefit clients in multiple ways, from faster speed new product development to more comprehensively accommodating large datasets and complex computations. A CUDA Developer will be able to help a client create an application for their unique needs that leverages the power of NVIDIA GPU hardware for maximum efficiency and performance.
Here’s some projects that our expert CUDA Developers made real:
- optimized source code to run on multiple computing platforms
- implemented blockchain transaction support between various execution platforms
- designed Verilog-gate level models for computer vision recognition
- sequenced commands among compatible hardware and libraries including NVIDIA GPUs
- constructed shortest path algorithms running on the CUDA platform
- crafted Laplacian Pyramid and extra algorithms to accomplish image blending tasks
- produced parallel processing applications utilizing both OpenMP and Pthreads programming
- designed music instrument classification operations based on ResNet neural networks
- transformed existing simple deep neural network code into the OneFlow framework
Our highly qualified CUDA Developers have completed challenging projects using the NVIDIA CUDA platform of hardware and programming capabilities, creating reliable and efficient applications for a variety of unique needs. Our professionals have had success in pushing the boundaries of what is technically possible and creating powerful applications available for any situation. If you are in need of custom software developed specifically for you, don’t hesitate in posting your project here on Freelancer.com, where you can be sure you will find a capable CUDA Developer that will provide the best solution for your development needs.Dari 5,298 ulasan, klien menilai CUDA Developers kami 4.9 dari 5 bintang.
Rekrut CUDA Developers
I'm searching for an individual with superior Python and machine learning knowledge, particularly Supervised Learning, to enhance the algorithm of an application I've developed. The app's accuracy, currently at 65%, needs a significant increase to at least 85%. - Task Details: Improvement is specifically needed in the app's algorithm. The application uses a Supervised Learning approach for its Machine Learning Algorithm, and this requires an upgrade. - Skill Requirements: To be successful in this task, you need: 1. Proficiency in Python 2. Advanced knowledge in Machine Learning, especially Supervised Learning 3. Experience in developing and improving machine learning algorithms 4. Strong problem-solving skills - Additional Information: NDA will need to be signed befo...
I am in need of a freelancer who has solid intermediate-level expertise with OpenCL and Rust programming. Key tasks involve: - Writing OpenCL kernels - Implementing parallel computing algorithms - Debugging existing code and ensuring it functions as desired The eventual goal is to yield fully functional code. Your ability to navigate and improve upon an existing system is imperative for this project's success. If you possess the required skills and the capability to handle the necessary tasks, apply now and let's transform my vision into functionality.
I have a simulation in Python/CuPy of electrons in a wire that I want to translate into Rust (or Vulkan, or OpenCL, or CUDA, or Julia or fix the Python so it uses far less memory, maybe calling PyCUDA) and make a major modification. The simulation calculates the coulumbic forces between all pairs of electrons every delta-t and then after that uses the force to calculate the new positions and velocities. It also outputs a graph showing the density of electrons at each slice of the wire at each delta-t. From this I can see how fast a signal is propagating down the wire in the simulation. I have tried to allow for the propagation delay between the electrons by using the velocity to estimate where the electron would really have been back in time and calculating the force from that point...