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Releases: JuliaGPU/KernelAbstractions.jl

v0.9.23

07 Aug 12:43
ab87f45
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KernelAbstractions v0.9.23

Diff since v0.9.22

Merged pull requests:

Closed issues:

  • [Enzyme] NTuple index not working on CUDA backend (#494)
  • External functions in GPU ODE example (#496)
  • Default CPU workgroupsize can be inadequat for higher-dimensionsal kernels (#499)

v0.9.22

28 Jun 16:07
1ff9a26
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KernelAbstractions v0.9.22

Diff since v0.9.21

Merged pull requests:

Closed issues:

  • Printing results changes results in CPU kernel (#485)
  • KA.functional(::Backend) to mimick CUDA.functional (#489)

v0.9.21

22 Jun 01:22
4285051
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KernelAbstractions v0.9.21

Diff since v0.9.20

Merged pull requests:

Closed issues:

  • Small discrepancy (#482)

v0.9.20

07 Jun 01:38
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KernelAbstractions v0.9.20

Diff since v0.9.19

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v0.9.19

11 May 13:36
bf25c71
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KernelAbstractions v0.9.19

Diff since v0.9.18

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v0.9.18

05 Mar 02:43
6aee730
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KernelAbstractions v0.9.18

Diff since v0.9.17

Merged pull requests:

Closed issues:

  • MAX support? (#460)

v0.9.17

26 Feb 16:50
a85cf49
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KernelAbstractions v0.9.17

Diff since v0.9.16

Merged pull requests:

Closed issues:

  • CPU version fails with a kernel that contains a return statement (#459)
  • @index(Global, NTuple) Giving incorrect behavior with CPU() backend (#461)

v0.9.16

13 Jan 13:24
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KernelAbstractions v0.9.16

Diff since v0.9.15

Merged pull requests:

Closed issues:

  • Allow return or return nothing in kernels (#443)
  • Replace ROCArrays by AMDGPU in documentation? (#447)

v0.9.15

19 Dec 13:36
ed2f55d
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KernelAbstractions v0.9.15

Diff since v0.9.14

Merged pull requests:

  • Test AMDGPU on 1.10 and limit 1.9 to gfx1030 (#441) (@vchuravy)
  • CompatHelper: bump compat for Adapt to 4, (keep existing compat) (#445) (@github-actions[bot])

Closed issues:

  • Atomix example fails with complex array element type (#444)

v0.9.14

05 Dec 17:08
7edbbce
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KernelAbstractions v0.9.14

Diff since v0.9.13

Merged pull requests:

Closed issues:

  • CUDADevice not defined (#296)