Distributed CUDA/PyTorch/TensorFlow,... Developer for Generation of Very Long Numbers
Budget: $250 – $750 USD
We are seeking an experienced CUDA developer or someone experienced to use libraries like TensorFlow or Pytorch to create GPU intensive calculation. the candidate should be very strong in math for a project involving the analysis of very long numbers for number theory analysis. The successful candidate will have a strong understanding of distributed computing, as the problem we are addressing is very easy but time consuming and may take days or even months to generate a single number.
Responsibilities:
- Develop a CUDA program that can run on a single server, with the possibility of utilizing Google Colab or other platforms with access to powerful GPU computation using libraries like PyTorch or TensorFlow.
- Guide the client in transitioning the program to a distributed system to reduce time consumption.
- Implement a full depth search algorithm to find very large numbers based on specific input criteria (length, left and right digits, row sum equality check, row sum multiplicity check, and sum check).
Requirements:
- Proven experience in CUDA programming and distributed computing.
- Strong problem-solving skills and the ability to understand complex mathematical problems.
- Excellent communication skills to effectively collaborate with the client and guide them through the process.
To apply, please submit your resume, a brief description of your experience with similar projects, and any relevant code samples or GitHub repositories showcasing your work in CUDA programming and distributed computing.
We look forward to hearing from you and discussing how your expertise can contribute to the success of this project.
the files password is "cuda"
Responsibilities:
- Develop a CUDA program that can run on a single server, with the possibility of utilizing Google Colab or other platforms with access to powerful GPU computation using libraries like PyTorch or TensorFlow.
- Guide the client in transitioning the program to a distributed system to reduce time consumption.
- Implement a full depth search algorithm to find very large numbers based on specific input criteria (length, left and right digits, row sum equality check, row sum multiplicity check, and sum check).
Requirements:
- Proven experience in CUDA programming and distributed computing.
- Strong problem-solving skills and the ability to understand complex mathematical problems.
- Excellent communication skills to effectively collaborate with the client and guide them through the process.
To apply, please submit your resume, a brief description of your experience with similar projects, and any relevant code samples or GitHub repositories showcasing your work in CUDA programming and distributed computing.
We look forward to hearing from you and discussing how your expertise can contribute to the success of this project.
the files password is "cuda"