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Releases: JuliaGPU/KernelAbstractions.jl

v0.9.13

15 Nov 21:21
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KernelAbstractions v0.9.13

Diff since v0.9.12

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v0.9.12

06 Nov 16:30
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KernelAbstractions v0.9.12

Diff since v0.9.11

Bug fixes

  • Fix the new @kernel inbounds=true functionality on the CPU #431

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v0.9.11

02 Nov 20:06
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KernelAbstractions v0.9.11

Diff since v0.9.10

Merged pull requests:

  • adding attempt to force inbounds at the kernel level (#429) (@leios)

v0.9.10

12 Oct 19:24
c1c6887
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KernelAbstractions v0.9.10

Diff since v0.9.9

v0.9.9

12 Oct 19:12
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KernelAbstractions v0.9.9

Diff since v0.9.8

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Closed issues:

  • @unroll unrolling the wrong loop (#411)

v0.9.8

24 Jul 02:09
bc803d1
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KernelAbstractions v0.9.8

Diff since v0.9.7

Closed issues:

  • Reverse CI for AMDGPU (#394)

Merged pull requests:

  • Add AMDGPU CI (#409) (@pxl-th)
  • Fix inactive rule to only mark constructor of one type as inactive, n… (#412) (@wsmoses)

v0.9.7

11 Jul 08:32
10b54b0
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KernelAbstractions v0.9.7

Diff since v0.9.6

Closed issues:

  • Launch kernels and dependencies (#264)

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v0.9.6

22 Jun 07:04
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KernelAbstractions v0.9.6

Diff since v0.9.5

Merged pull requests:

  • Don't use Float64 in tests, as some back-ends do not support it. (#402) (@maleadt)

v0.9.5

20 Jun 23:02
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KernelAbstractions v0.9.5

Diff since v0.9.4

Closed issues:

  • Defining timing infrastructure that works with events. (#15)
  • Kernels fail on CPU when waiting on kernels that allocate shared memory (#55)
  • Use macros in nested functions (#377)
  • CPU(static=true) option (#387)
  • Need for @inline when using GPU backend (#392)
  • KA seems to be broken for CUDA (#400)

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v0.9.4

01 May 16:45
be5b773
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KernelAbstractions v0.9.4

Diff since v0.9.3

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