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Dump the CUBIN on load failure. - #3216

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maleadt merged 1 commit into
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tb/dump_cubin
Jul 24, 2026
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Dump the CUBIN on load failure.#3216
maleadt merged 1 commit into
mainfrom
tb/dump_cubin

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@maleadt maleadt commented Jul 24, 2026

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@maleadt maleadt mentioned this pull request Jul 24, 2026
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maleadt merged commit 13d5f6b into main Jul 24, 2026
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maleadt deleted the tb/dump_cubin branch July 24, 2026 16:46
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codecov Bot commented Jul 24, 2026

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 92.28%. Comparing base (a4842bb) to head (043f168).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #3216      +/-   ##
==========================================
- Coverage   92.33%   92.28%   -0.05%     
==========================================
  Files         184      184              
  Lines       15882    15882              
==========================================
- Hits        14664    14657       -7     
- Misses       1218     1225       +7

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github-actions Bot commented Jul 24, 2026

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CUDA.jl Benchmarks

Details
Benchmark suite Current: 043f168 Previous: a4842bb Ratio
array/accumulate/Float32/1d 96972 ns 97646 ns 0.99
array/accumulate/Float32/dims=1 69992 ns 71015 ns 0.99
array/accumulate/Float32/dims=1L 1597637 ns 1599333 ns 1.00
array/accumulate/Float32/dims=2 135874 ns 136777 ns 0.99
array/accumulate/Float32/dims=2L 658411 ns 659506 ns 1.00
array/accumulate/Int64/1d 116507 ns 117294 ns 0.99
array/accumulate/Int64/dims=1 74037 ns 74927 ns 0.99
array/accumulate/Int64/dims=1L 1713964 ns 1714235 ns 1.00
array/accumulate/Int64/dims=2 147191 ns 147636 ns 1.00
array/accumulate/Int64/dims=2L 985391 ns 986574 ns 1.00
array/broadcast 17429 ns 17632 ns 0.99
array/broadcast launch 8099.666666666667 ns 8489.666666666666 ns 0.95
array/construct 886.6521739130435 ns 854.1904761904761 ns 1.04
array/copy 16408 ns 16519 ns 0.99
array/copyto!/cpu_to_gpu 206504 ns 208569 ns 0.99
array/copyto!/gpu_to_cpu 239767 ns 240263 ns 1.00
array/copyto!/gpu_to_gpu 8747.333333333334 ns 8865 ns 0.99
array/iteration/findall/bool 129882 ns 130987 ns 0.99
array/iteration/findall/int 144020 ns 144752 ns 0.99
array/iteration/findfirst/bool 67696 ns 68122 ns 0.99
array/iteration/findfirst/int 68555 ns 69216 ns 0.99
array/iteration/findmin/1d 59562 ns 64287 ns 0.93
array/iteration/findmin/2d 98807 ns 98768 ns 1.00
array/iteration/logical 179974 ns 182831 ns 0.98
array/iteration/scalar 59921 ns 62418 ns 0.96
array/permutedims/2d 47560 ns 47901 ns 0.99
array/permutedims/3d 48762 ns 48778 ns 1.00
array/permutedims/4d 48431 ns 48796 ns 0.99
array/random/rand/Float32 10786 ns 10867 ns 0.99
array/random/rand/Int64 21922 ns 19862 ns 1.10
array/random/rand!/Float32 7739.75 ns 7786.25 ns 0.99
array/random/rand!/Int64 17078 ns 18067 ns 0.95
array/random/randn/Float32 32192 ns 32684 ns 0.98
array/random/randn!/Float32 22949 ns 23534 ns 0.98
array/reductions/mapreduce/Float32/1d 30864 ns 31468 ns 0.98
array/reductions/mapreduce/Float32/dims=1 37019 ns 37152 ns 1.00
array/reductions/mapreduce/Float32/dims=1L 49679 ns 49990 ns 0.99
array/reductions/mapreduce/Float32/dims=2 54248 ns 54429 ns 1.00
array/reductions/mapreduce/Float32/dims=2L 65477 ns 66307 ns 0.99
array/reductions/mapreduce/Int64/1d 37424 ns 38117 ns 0.98
array/reductions/mapreduce/Int64/dims=1 39623 ns 40155 ns 0.99
array/reductions/mapreduce/Int64/dims=1L 87826 ns 87881 ns 1.00
array/reductions/mapreduce/Int64/dims=2 56655 ns 57089 ns 0.99
array/reductions/mapreduce/Int64/dims=2L 81913 ns 82700 ns 0.99
array/reductions/reduce/Float32/1d 30931 ns 31315 ns 0.99
array/reductions/reduce/Float32/dims=1 36835 ns 37518 ns 0.98
array/reductions/reduce/Float32/dims=1L 49683 ns 49983 ns 0.99
array/reductions/reduce/Float32/dims=2 54146 ns 54747 ns 0.99
array/reductions/reduce/Float32/dims=2L 67325 ns 67902 ns 0.99
array/reductions/reduce/Int64/1d 37432 ns 38801 ns 0.96
array/reductions/reduce/Int64/dims=1 39453 ns 40160 ns 0.98
array/reductions/reduce/Int64/dims=1L 87864 ns 87739 ns 1.00
array/reductions/reduce/Int64/dims=2 56482 ns 57022 ns 0.99
array/reductions/reduce/Int64/dims=2L 81547 ns 82535 ns 0.99
array/reverse/1d 16398 ns 16238 ns 1.01
array/reverse/1dL 69249 ns 69038 ns 1.00
array/reverse/1dL_inplace 67073 ns 67173 ns 1.00
array/reverse/1d_inplace 8192 ns 10025 ns 0.82
array/reverse/2d 19051 ns 19605 ns 0.97
array/reverse/2dL 72311 ns 72977 ns 0.99
array/reverse/2dL_inplace 66935 ns 66951 ns 1.00
array/reverse/2d_inplace 9456 ns 9744 ns 0.97
array/sorting/1d 2638546 ns 2638679 ns 1.00
array/sorting/2d 1027091 ns 1027203 ns 1.00
array/sorting/by 3181059 ns 3181641 ns 1.00
cuda/synchronization/context/auto 1051 ns 1029.1 ns 1.02
cuda/synchronization/context/blocking 787.8775510204082 ns 785.2403846153846 ns 1.00
cuda/synchronization/context/nonblocking 5628.333333333333 ns 5751.666666666667 ns 0.98
cuda/synchronization/stream/auto 865.2115384615385 ns 870.6136363636364 ns 0.99
cuda/synchronization/stream/blocking 666.4605263157895 ns 675.9652777777778 ns 0.99
cuda/synchronization/stream/nonblocking 5458.666666666667 ns 5571.571428571428 ns 0.98
integration/byval/reference 147376 ns 147461 ns 1.00
integration/byval/slices=1 151445 ns 151756 ns 1.00
integration/byval/slices=2 294282 ns 294768 ns 1.00
integration/byval/slices=3 437040 ns 437575 ns 1.00
integration/cudadevrt 104491 ns 104748 ns 1.00
integration/volumerhs 9151903 ns 9148184 ns 1.00
kernel/indexing 12427 ns 12828 ns 0.97
kernel/indexing_checked 13082 ns 13596 ns 0.96
kernel/launch 2008.7777777777778 ns 2192.1111111111113 ns 0.92
kernel/occupancy 676.5064102564103 ns 668.0189873417721 ns 1.01
kernel/rand 13634 ns 17954 ns 0.76
latency/import 4115192844 ns 4105346603 ns 1.00
latency/precompile 4817116869 ns 4811505033 ns 1.00
latency/ttfp 5192260773 ns 5191875986 ns 1.00

This comment was automatically generated by workflow using github-action-benchmark.

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