stdgpu
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stdgpu: Efficient STL-like Data Structures on the GPU
Does it make sense to add a list and forward_list container? What are some ways to optimize this project from the hip direction?
Add `bool occupied(index n)` function for unordered_set and unordered_map. So that we can: ```cu struct AllocateNewBlocks { AllocateNewBlocks(stdgpu::unorderd_map block_map, BlockBuffer buffer_buffer, stdgpu::unorderd_set not_exist_block_indices) : buffer_buffer(buffer_buffer), block_map(block_map), not_exist_block_indices(not_exist_block_indices) {} __device__ void...
The insert function here can only be inserted from the last position, which is obviously different from the intention of insert, which should be inserted from any position.
Bumps the actions group with 1 update: [actions/checkout](https://github.com/actions/checkout). Updates `actions/checkout` from 5 to 6 Release notes Sourced from actions/checkout's releases. v6.0.0 What's Changed Update README to include Node.js 24 support...