Comments (3)
KristofferC
commented on May 20, 2024
My guess is quite a lot of work is needed but I have no experience with KD trees on GPUs so I might be wrong.
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lukehutch
commented on May 20, 2024
This post might be helpful:
https://nextjournal.com/sdanisch/julia-gpu-programming
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KristofferC
commented on May 20, 2024
Don't see a reason to keep this open since there isn't really any actionable here.
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Related Issues (20)
- knn: skipped items output when there is a skip function has always the last index and not 0 index HOT 3
- `nn` lacking docstring HOT 1
- AssertionError in kmedoids alg
- bug: BoundsError when the skip function returns true for all points HOT 3
- Is there a reason sqeuclidean distance is not supported? HOT 4
- README.md Misleading Custom Metric Documentation
- Document that `inrangecount` also counts the point itself HOT 2
- [Question] Can you insert new data into an existing KDTree object? HOT 2
- Compilation time issues with very high dimensions HOT 3
- Reverse Cuthill-McKee ordering option HOT 1
- Querying number of distance evaluations HOT 2
- Make datatypes of the KNN results selectable for potentially lower memory overhead
- Does ball tree work with any metric? HOT 2
- Add example with `skip` option to documentation
- Julia 1.10 is waiting on IO to finish during compilation HOT 3
- It should be possible to make `KDNode` smaller
- KDTree: Wrong results for non-Euclidean metrics
- Cannot build KDTree with Subarrays since v0.4.14 HOT 3
- KDTree with Matrix{ComplexF64}
- Can't do `knn` on `AbstractVector{SVector}`
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