Add GPU memory guard to reproject dask+cupy path#1131
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Parallel subagent triage + ralph-loop workflow for auditing all xrspatial modules for performance bottlenecks, OOM risk under 30TB dask workloads, and backend-specific anti-patterns.
7 tasks covering command scaffold, module scoring, parallel subagent dispatch, report merging, ralph-loop generation, and smoke tests.
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Summary
cp.full(out_shape, ...)in_reproject_dask_cupythat checks GPU free memory and raisesMemoryErrorif the output would exceed 80% of free VRAMContext
Found during performance sweep (#1130). The dask+numpy path correctly uses
map_blockswith per-chunk allocation. The dask+cupy path allocates the entire output on GPU in one shot.Test plan