Determine GPU-sharing and resource saturation limits

Determine whether several independent Ceridwen fits can share a single GPU effectively and quantify how completely one Ceridwen fit saturates the GPU’s memory and computational resources.

Background

The reported comparison assumes that one Ceridwen fit runs on each GPU. Consequently, the paper does not establish whether multiple independent galaxy fits can be executed concurrently on one device or whether such concurrency would improve throughput. The extent to which a single fit exhausts GPU memory and compute capacity is likewise unresolved and is relevant to deploying Ceridwen for large survey samples.