CUDA Jobs
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.
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This project is for personal use, and I am looking to develop an NTrip server for GNSS RTK with centimetre-level accuracy. This server solution should be well-structured, secure, and reliable to ensure the data quality is consistently maintained. I need a programmer who has experience in building NTrip servers as it requires knowledge of multicast technologies, real-time streaming protocols, and other components. Furthermore, the programmer should have in-depth expertise in the GNSS RTK space and the ability to build long-term scaleable solutions. Expertise in Python, C++, MongoDB and Linux is preferred. This project should be done within a reasonable timeline and budget.
We are looking for parallel sha256 hashing using Nvidia GPUs, and would like to contract a freelancer for making a proof of concept implementation we can run in our lab on Linux.