GPU-Based Incremental SVD Implementation

Job ID: 38800946

Budget: ₹400 – ₹750 INR

I am looking for an expert in GPU computing and Dask who can implement Incremental Singular Value Decomposition (SVD) on multiple GPUs. The primary goal of this project is to handle larger datasets, specifically image data, using distributed streaming SVD.

Key Requirements:
- Implement Dask_GPU for improved parallel processing
- Optimize the system for scalability across multiple GPUs
- Ensure the system can handle large image datasets efficiently

The ideal candidate for this project would have extensive experience in distributed computing, particularly with Dask and GPU. A deep understanding of SVD and its incremental variant is crucial. Experience working with image data is a plus.
Related categories: Python Algorithm CUDA C++ Programming Pytorch