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Fix CI on Main - #221

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ejmeitz merged 1 commit into
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codex/respect-build-cpu-allocation
Sep 28, 2026
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ejmeitz merged 1 commit into
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codex/respect-build-cpu-allocation

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@ejmeitz ejmeitz commented Sep 28, 2026

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ejmeitz merged commit 4177e0c into main Sep 28, 2026
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ejmeitz deleted the codex/respect-build-cpu-allocation branch September 28, 2026 16:46
ejmeitz added a commit that referenced this pull request Oct 14, 2026
v0.3.0 (#182)

- Added random number generation for all relevant types (rand, randn, randexp, etc.), mirroring cuPyNumeric (#176).
- Made NDArray a subtype of AbstractArray and added LinearAlgebra.Diagonal support (#165).
- Added argmin, argmax, var, std, and mean (#178).
- Added more unary and binary operators (e.g. <<) and == / != as 0-d Bool reductions (#177, #187).
- Added more linear-algebra operators (e.g. eigen) and vector linear-algebra ops (#183, #202).
- Added cuSolverMp support (#192).
- Added the new @accelerate macro with explicit Julia scoping semantics (escape analysis) and multi-line broadcast fusion, plus fused compound broadcasts and compile-time argument buffers (#174, #200, #226).
- Added FFT/iFFT/bFFT, in-place and batched variants (#185, #204, #220).
- Added sort, sort!, sortperm, searchsortedfirst, and searchsortedlast (#181).
- Added tensor contractions and a TensorOperations.jl @tensor extension (#186, #188, #190).
- Added mapreduce, NDArray map!, host copyto!, and muladd support (#196, #204, #206).
- Added the NDScalar type with opt-in scalar unwrapping via allowfetch (#203, #230).
- Added a Krylov.jl extension (#205).
- Added AoS (native Legate) and SoA (experimental StructArrays.jl extension) support (#207).
- Added undef initialization, zero-backed for users (#213, #232).
- Added in-place and 1-d slice assignment (#210, #215).
- Added a Dynamic Mode Decomposition example and benchmark (#184).
- Fixed Int32 overflow for arrays with more than 2^31 elements.
- Improved startup and conversion cost by loading CUDACore before Legate, owning Julia array conversions, and avoiding redundant host copies (#193, #209, #223).
- Revamped the benchmark suite with fewer hyperparameters and removed the in-package Benchmarking module (#191, #195).
- Improved CI with new GPU JLL triggers, regression CI via [regression-ci <branch>], opt-in container builds, a Julia 1.13 matrix, and tagging CI (#194, #197, #201, #216, #218, #221, #222).
- Updated cuPyNumeric compat and documentation for v0.3.0 (#217, #231).
- Additional CI adjustments, benchmark compat bumps, JLL wrapper updates, and docs fixes landed as direct commits without PR numbers.

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Co-authored-by: krasow <krasow@u.northwestern.edu>
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