Support for CUDA toolkit 13.3

[maleadt]

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[github-actions]

CUDA.jl Benchmarks

Details

Benchmark suite	Current: cb21ca6	Previous: 6a129e0	Ratio
array/accumulate/Float32/1d	99934 ns	100053 ns	1.00
array/accumulate/Float32/dims=1	75686 ns	75787 ns	1.00
array/accumulate/Float32/dims=1L	1587057 ns	1577853 ns	1.01
array/accumulate/Float32/dims=2	141448 ns	141062 ns	1.00
array/accumulate/Float32/dims=2L	653854 ns	653707 ns	1.00
array/accumulate/Int64/1d	117378 ns	116750 ns	1.01
array/accumulate/Int64/dims=1	79900 ns	78711 ns	1.02
array/accumulate/Int64/dims=1L	1699383 ns	1683110 ns	1.01
array/accumulate/Int64/dims=2	152175 ns	151060 ns	1.01
array/accumulate/Int64/dims=2L	960126 ns	959381 ns	1.00
array/broadcast	18881 ns	19982 ns	0.94
array/construct	1207.4 ns	1194.4 ns	1.01
array/copy	16473 ns	16735 ns	0.98
array/copyto!/cpu_to_gpu	214155 ns	212740 ns	1.01
array/copyto!/gpu_to_cpu	281669 ns	279146 ns	1.01
array/copyto!/gpu_to_gpu	10387 ns	10253 ns	1.01
array/iteration/findall/bool	132571 ns	131244 ns	1.01
array/iteration/findall/int	146336 ns	145039 ns	1.01
array/iteration/findfirst/bool	69618 ns	79765 ns	0.87
array/iteration/findfirst/int	71515 ns	81388 ns	0.88
array/iteration/findmin/1d	67419 ns	66315 ns	1.02
array/iteration/findmin/2d	101824 ns	101872 ns	1.00
array/iteration/logical	192079 ns	190195 ns	1.01
array/iteration/scalar	65603 ns	64845 ns	1.01
array/permutedims/2d	49721 ns	49329 ns	1.01
array/permutedims/3d	51360 ns	49995 ns	1.03
array/permutedims/4d	50755 ns	49456 ns	1.03
array/random/rand/Float32	11928 ns	11887 ns	1.00
array/random/rand/Int64	23844 ns	23761 ns	1.00
array/random/rand!/Float32	8021.666666666667 ns	8603.666666666666 ns	0.93
array/random/rand!/Int64	17867 ns	20714 ns	0.86
array/random/randn/Float32	36246 ns	35746 ns	1.01
array/random/randn!/Float32	24199 ns	24698 ns	0.98
array/reductions/mapreduce/Float32/1d	33444 ns	33262 ns	1.01
array/reductions/mapreduce/Float32/dims=1	37924 ns	38065 ns	1.00
array/reductions/mapreduce/Float32/dims=1L	50252 ns	50303 ns	1.00
array/reductions/mapreduce/Float32/dims=2	55904 ns	55700 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	67201 ns	66967 ns	1.00
array/reductions/mapreduce/Int64/1d	40065 ns	39371 ns	1.02
array/reductions/mapreduce/Int64/dims=1	40927 ns	41064 ns	1.00
array/reductions/mapreduce/Int64/dims=1L	86328 ns	86505 ns	1.00
array/reductions/mapreduce/Int64/dims=2	57984 ns	57928 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	83490 ns	82783 ns	1.01
array/reductions/reduce/Float32/1d	33479 ns	33213 ns	1.01
array/reductions/reduce/Float32/dims=1	38394 ns	38126 ns	1.01
array/reductions/reduce/Float32/dims=1L	50618 ns	50464 ns	1.00
array/reductions/reduce/Float32/dims=2	55745 ns	55536 ns	1.00
array/reductions/reduce/Float32/dims=2L	67728 ns	67415 ns	1.00
array/reductions/reduce/Int64/1d	40179 ns	40070 ns	1.00
array/reductions/reduce/Int64/dims=1	40669 ns	40780 ns	1.00
array/reductions/reduce/Int64/dims=1L	86396 ns	86708 ns	1.00
array/reductions/reduce/Int64/dims=2	57868 ns	57749 ns	1.00
array/reductions/reduce/Int64/dims=2L	82658 ns	82436 ns	1.00
array/reverse/1d	16862 ns	16956 ns	0.99
array/reverse/1dL	67699 ns	67986 ns	1.00
array/reverse/1dL_inplace	65292 ns	65223 ns	1.00
array/reverse/1d_inplace	8280.333333333334 ns	8237.333333333334 ns	1.01
array/reverse/2d	20334 ns	20361 ns	1.00
array/reverse/2dL	71899 ns	72160 ns	1.00
array/reverse/2dL_inplace	65109 ns	65120 ns	1.00
array/reverse/2d_inplace	9713 ns	9782 ns	0.99
array/sorting/1d	2713130 ns	2707240 ns	1.00
array/sorting/2d	1062830 ns	1063955 ns	1.00
array/sorting/by	3269686 ns	3281778 ns	1.00
cuda/synchronization/context/auto	1133.5 ns	1132.3 ns	1.00
cuda/synchronization/context/blocking	952.304347826087 ns	923.0333333333333 ns	1.03
cuda/synchronization/context/nonblocking	6086.2 ns	6078 ns	1.00
cuda/synchronization/stream/auto	986 ns	974.4 ns	1.01
cuda/synchronization/stream/blocking	830.2051282051282 ns	783.4722222222222 ns	1.06
cuda/synchronization/stream/nonblocking	5974.4 ns	6004.333333333333 ns	1.00
integration/byval/reference	143284 ns	143190 ns	1.00
integration/byval/slices=1	145461 ns	145031 ns	1.00
integration/byval/slices=2	283970 ns	283718 ns	1.00
integration/byval/slices=3	422516 ns	422133 ns	1.00
integration/cudadevrt	101724 ns	101714 ns	1.00
integration/volumerhs	8882117 ns	9906116 ns	0.90
kernel/indexing	13006 ns	12607 ns	1.03
kernel/indexing_checked	13648 ns	13261 ns	1.03
kernel/launch	2065.5555555555557 ns	2122.5555555555557 ns	0.97
kernel/occupancy	728.5496183206106 ns	718.696 ns	1.01
kernel/rand	13903 ns	14142 ns	0.98
latency/import	3863319483 ns	3854591463 ns	1.00
latency/precompile	4627375059 ns	4627171718 ns	1.00
latency/ttfp	4503227168 ns	4491759222 ns	1.00

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

[codecov]

Codecov Report

❌ Patch coverage is 11.11111% with 56 lines in your changes missing coverage. Please review.
✅ Project coverage is 16.32%. Comparing base (2fe75d6) to head (cb21ca6).
⚠️ Report is 19 commits behind head on main.

Files with missing lines	Patch %	Lines
lib/cusparse/src/extra.jl	0.00%	29 Missing ⚠️
lib/cublas/src/cuBLAS.jl	41.66%	7 Missing ⚠️
lib/cublas/src/wrappers.jl	22.22%	7 Missing ⚠️
lib/cusparse/src/helpers.jl	0.00%	7 Missing ⚠️
lib/cusparse/src/generic.jl	0.00%	6 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #3155      +/-   ##
==========================================
- Coverage   16.40%   16.32%   -0.08%     
==========================================
  Files         124      124              
  Lines        9827     9875      +48     
==========================================
  Hits         1612     1612              
- Misses       8215     8263      +48     

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