Enable Dependabot for Julia dependencies

[vchuravy]

Dependabot gained native Julia support in December 2025 and is the recommended replacement for CompatHelper: its PRs trigger CI automatically (no manual close/reopen), and it also updates the checked-in Manifest.toml, surfacing resolver errors in the PR body when resolution fails.

This adds a julia ecosystem entry (weekly, ungrouped so each bump gets its own PR, matching CompatHelper's behavior) alongside the existing github-actions entry, and removes .github/workflows/CompatHelper.yml since Dependabot supersedes it.

Note: only the root environment is covered — the PSA advises against listing multiple directories (docs/, test/, gen/) due to resolver conflicts, recommending Julia 1.12+ workspaces instead, which isn't an option while we support 1.10.

🤖 Generated with Claude Code

[vchuravy]

x-ref: trixi-framework/Trixi.jl#2833 (comment)

[github-actions]

AMDGPU.jl Benchmarks

Details

Benchmark suite	Current: cb8b228	Previous: 790ffef	Ratio
amdgpu/synchronization/context/device	620 ns	600 ns	1.03
amdgpu/synchronization/stream/blocking	250 ns	250 ns	1
amdgpu/synchronization/stream/nonblocking	350 ns	330 ns	1.06
array/accumulate/Float32/1d	86901 ns	85181 ns	1.02
array/accumulate/Float32/dims=1	332985 ns	346495 ns	0.96
array/accumulate/Float32/dims=1L	134941 ns	135832 ns	0.99
array/accumulate/Float32/dims=2	125432 ns	133722 ns	0.94
array/accumulate/Float32/dims=2L	2803666 ns	2807449 ns	1.00
array/accumulate/Int64/1d	96741 ns	97751 ns	0.99
array/accumulate/Int64/dims=1	243763 ns	327884 ns	0.74
array/accumulate/Int64/dims=1L	167632 ns	167762 ns	1.00
array/accumulate/Int64/dims=2	125102 ns	128652 ns	0.97
array/accumulate/Int64/dims=2L	2986289 ns	2987542 ns	1.00
array/broadcast	88501 ns	85431 ns	1.04
array/construct	1640 ns	1640 ns	1
array/copy	39091 ns	37090 ns	1.05
array/copyto!/cpu_to_gpu	97971 ns	119302 ns	0.82
array/copyto!/gpu_to_cpu	112611 ns	183102 ns	0.62
array/copyto!/gpu_to_gpu	59941 ns	73881 ns	0.81
array/iteration/findall/bool	178882 ns	180732 ns	0.99
array/iteration/findall/int	188283 ns	199623 ns	0.94
array/iteration/findfirst/bool	119762 ns	121852 ns	0.98
array/iteration/findfirst/int	116552 ns	114861 ns	1.01
array/iteration/findmin/1d	169333 ns	170243 ns	0.99
array/iteration/findmin/2d	156072 ns	155382 ns	1.00
array/iteration/logical	353094 ns	355195 ns	0.99
array/iteration/scalar	290004 ns	290084 ns	1.00
array/permutedims/2d	73411 ns	75151 ns	0.98
array/permutedims/3d	73191 ns	74541 ns	0.98
array/permutedims/4d	76011 ns	77212 ns	0.98
array/random/rand/Float32	52120 ns	50610 ns	1.03
array/random/rand/Int64	56491 ns	57201 ns	0.99
array/random/rand!/Float32	145102 ns	95971 ns	1.51
array/random/rand!/Int64	146592 ns	86611 ns	1.69
array/random/randn/Float32	80081 ns	99462 ns	0.81
array/random/randn!/Float32	88731 ns	108421 ns	0.82
array/reductions/mapreduce/Float32/1d	132861 ns	133292 ns	1.00
array/reductions/mapreduce/Float32/dims=1	94761 ns	95621 ns	0.99
array/reductions/mapreduce/Float32/dims=1L	774850 ns	778531 ns	1.00
array/reductions/mapreduce/Float32/dims=2	96691 ns	97572 ns	0.99
array/reductions/mapreduce/Float32/dims=2L	296284 ns	308705 ns	0.96
array/reductions/mapreduce/Int64/1d	133391 ns	134702 ns	0.99
array/reductions/mapreduce/Int64/dims=1	95271 ns	96291 ns	0.99
array/reductions/mapreduce/Int64/dims=1L	778900 ns	785001 ns	0.99
array/reductions/mapreduce/Int64/dims=2	96322 ns	96932 ns	0.99
array/reductions/mapreduce/Int64/dims=2L	295904 ns	308475 ns	0.96
array/reductions/reduce/Float32/1d	132632 ns	133372 ns	0.99
array/reductions/reduce/Float32/dims=1	94691 ns	95181 ns	0.99
array/reductions/reduce/Float32/dims=1L	775880 ns	775611 ns	1.00
array/reductions/reduce/Float32/dims=2	96541 ns	97251 ns	0.99
array/reductions/reduce/Float32/dims=2L	297374 ns	297585 ns	1.00
array/reductions/reduce/Int64/1d	133462 ns	135242 ns	0.99
array/reductions/reduce/Int64/dims=1	95012 ns	95041 ns	1.00
array/reductions/reduce/Int64/dims=1L	782120 ns	781271 ns	1.00
array/reductions/reduce/Int64/dims=2	96031 ns	96491 ns	1.00
array/reductions/reduce/Int64/dims=2L	295234 ns	302104 ns	0.98
array/reverse/1d	42890 ns	42991 ns	1.00
array/reverse/1dL	74721 ns	75381 ns	0.99
array/reverse/1dL_inplace	115941 ns	167852 ns	0.69
array/reverse/1d_inplace	71531 ns	72911 ns	0.98
array/reverse/2d	50901 ns	51030 ns	1.00
array/reverse/2dL	101831 ns	101682 ns	1.00
array/reverse/2dL_inplace	124562 ns	107362 ns	1.16
array/reverse/2d_inplace	78631 ns	85981 ns	0.91
array/sorting/1d	342914 ns	342214 ns	1.00
integration/byval/reference	39270 ns	39040 ns	1.01
integration/byval/slices=1	40170 ns	40281 ns	1.00
integration/byval/slices=2	117261 ns	146872 ns	0.80
integration/byval/slices=3	238583 ns	238173 ns	1.00
integration/volumerhs	5033486 ns	5024071 ns	1.00
kernel/indexing	129432 ns	67700 ns	1.91
kernel/indexing_checked	131471 ns	64401 ns	2.04
kernel/launch	1310 ns	1350 ns	0.97
kernel/rand	122472 ns	198943 ns	0.62
latency/import	1586272578 ns	1577477738 ns	1.01
latency/precompile	36327439167 ns	36338831604 ns	1.00
latency/ttfp	2154523945 ns	2145912756 ns	1.00

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