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Releases: JuliaGPU/DaggerGPU.jl

v0.2.0

26 Jun 19:47
8d85357
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DaggerGPU v0.2.0

Diff since v0.1.7

Merged pull requests:

Closed issues:

  • Error when running the test case in test dir (#27)

v0.1.7

24 Jul 18:47
844aeb1
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DaggerGPU v0.1.7

Diff since v0.1.6

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v0.1.6

16 Jun 22:07
1e0cc54
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DaggerGPU v0.1.6

Diff since v0.1.5

Closed issues:

  • Switch to weak dependencies (#20)

Merged pull requests:

v0.1.5

29 Mar 02:23
0dc5aa4
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DaggerGPU v0.1.5

Diff since v0.1.4

Merged pull requests:

  • Initial support for Metal GPUs (#19) (@ronisbr)
  • Initial support for in-place operations with unified memory (#21) (@ronisbr)
  • Update DaggerGPU to be compatible with Dagger 0.16 (#22) (@EricHallahan)

v0.1.4

02 Aug 12:02
2bfacdf
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DaggerGPU v0.1.4

Diff since v0.1.2

Closed issues:

  • Use IPC for same-node transfers (#16)

Merged pull requests:

  • CompatHelper: bump compat for "Adapt" to "3.0" (#12) (@github-actions[bot])
  • CompatHelper: bump compat for "Dagger" to "0.11" (#14) (@github-actions[bot])
  • Optimize CuArrayDeviceProc with IPC and DtoD (#17) (@jpsamaroo)

v0.1.2

02 Dec 04:19
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DaggerGPU v0.1.2

Diff since v0.1.1

Merged pull requests:

v0.1.1

23 Oct 20:20
d8a65d9
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DaggerGPU v0.1.1

Diff since v0.1.0

Closed issues:

  • Organization home for this package? (#2)
  • Use CUDA.jl instead of CuArrays.jl (#4)
  • UndefVarError: ThreadProc not defined (#6)

Merged pull requests:

v0.1.0

08 Apr 12:04
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DaggerGPU v0.1.0

Merged pull requests: