Aurora LTS 2523.40

.github/workflows/ci.yml

@@ -18,6 +18,13 @@ jobs:
     continue-on-error: true
     env:
       GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      # Pin each parallel test worker to a distinct GPU tile instead of
+      # oversubscribing device 0 (see test/runtests.jl).
+      ONEAPI_TEST_SPREAD_GPUS: '1'
+      ONEAPI_LTS: '1'
+      # Synchronize after every command-list submission to work around the
+      # Aurora LTS NEO dropped-tail corruption (see lib/level-zero/cmdlist.jl).
+      ONEAPI_SYNC_EACH_SUBMISSION: '1'
     runs-on: [self-hosted, linux, X64]
     strategy:
       matrix:
@@ -38,5 +45,13 @@ jobs:
       - uses: julia-actions/cache@v3
       - uses: julia-actions/julia-buildpkg@latest
         continue-on-error: true
-      - uses: julia-actions/julia-runtest@latest
+      # Disable AVX512-FP16 host codegen on the Aurora Sapphire Rapids nodes. Under concurrent
+      # oneMKL load the native AVX512-FP16 path silently miscomputes *host* Float16 (e.g. the
+      # GPUArrays `A .* B .+ c` broadcast reference), failing tests even though the GPU result
+      # is correct (single-process clean; MXCSR clean; only the native-FP16 path, not Float32).
+      # `-C native,-avx512fp16` routes Float16 through Float32 and propagates to the Pkg.test
+      # subprocess and its parallel workers via Base.julia_cmd(). `julia-runtest` cannot pass a
+      # cpu-target, so invoke Pkg.test() directly. See repro_bcast_mkl.jl.
+      - name: Run tests (AVX512-FP16 disabled)
         continue-on-error: true
+        run: julia -C "native,-avx512fp16" --color=yes --project=. -e 'import Pkg; Pkg.test()'

Project.toml

@@ -23,6 +23,7 @@ Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SPIRVIntrinsics = "71d1d633-e7e8-4a92-83a1-de8814b09ba8"
 SPIRV_LLVM_Backend_jll = "4376b9bf-cff8-51b6-bb48-39421dff0d0c"
+SPIRV_LLVM_Translator_jll = "4a5d46fc-d8cf-5151-a261-86b458210efb"
 SPIRV_Tools_jll = "6ac6d60f-d740-5983-97d7-a4482c0689f4"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
@@ -47,6 +48,7 @@ PrecompileTools = "1"
 Preferences = "1"
 SPIRVIntrinsics = "1"
 SPIRV_LLVM_Backend_jll = "22"
+SPIRV_LLVM_Translator_jll = "21"
 SPIRV_Tools_jll = "2025.4.0"
 SpecialFunctions = "1.3, 2"
 StaticArrays = "1"
@@ -56,3 +58,8 @@ oneAPI_Support_jll = "0.9.2"
 
 [extras]
 libigc_jll = "94295238-5935-5bd7-bb0f-b00942e9bdd5"
+
+[sources]
+# Pin to a commit SHA, not the mutable `atomic-float-ops` branch head, so builds are
+# reproducible and a force-push upstream cannot silently change what users resolve.
+SPIRVIntrinsics = {url = "https://github.com/michel2323/OpenCL.jl", rev = "4257d4075162276d9985168923788490e4071e9e", subdir = "lib/intrinsics"}

deps/Project.toml

@@ -8,8 +8,8 @@ Ninja_jll = "76642167-d241-5cee-8c94-7a494e8cb7b7"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Preferences = "21216c6a-2e73-6563-6e65-726566657250"
 Scratch = "6c6a2e73-6563-6170-7368-637461726353"
-oneAPI_Level_Zero_Headers_jll = "f4bc562b-d309-54f8-9efb-476e56f0410d"
-oneAPI_Support_Headers_jll = "24f86df5-245d-5634-a4cc-32433d9800b3"
+oneAPI_Level_Zero_Headers_LTS_jll = "d79c0b2e-896c-561b-aab9-323701ec0314"
+oneAPI_Support_Headers_LTS_jll = "0e9de0da-c0b6-5d6c-9871-5c996d414ca7"
 
 [compat]
-oneAPI_Support_Headers_jll = "=2025.2.0"
+oneAPI_Support_Headers_LTS_jll = "=2025.3.1"

deps/build_local.jl

@@ -20,7 +20,8 @@ if haskey(ENV, "BUILDKITE")
     run(`buildkite-agent annotate 'Using a locally-built support library; A bump of oneAPI_Support_jll is required before releasing this packages.' --style 'warning' --context 'ctx-deps'`)
 end
 
-using Scratch, Preferences, CMake_jll, Ninja_jll, oneAPI_Level_Zero_Headers_jll
+using Scratch, Preferences, CMake_jll, Ninja_jll
+import oneAPI_Level_Zero_Headers_LTS_jll as oneAPI_Level_Zero_Headers_jll
 
 oneAPI = Base.UUID("8f75cd03-7ff8-4ecb-9b8f-daf728133b1b")
 
@@ -62,7 +63,7 @@ if !isfile(joinpath(conda_dir, "condarc-julia.yml"))
     touch(joinpath(conda_dir, "conda-meta", "history"))
 end
 Conda.add_channel("https://software.repos.intel.com/python/conda/", conda_dir)
-Conda.add(["dpcpp_linux-64=2026.0.0", "mkl-devel-dpcpp=2026.0.0"], conda_dir)
+Conda.add(["dpcpp_linux-64=2025.3.1", "mkl-devel-dpcpp=2025.3.1"], conda_dir)
 
 Conda.list(conda_dir)
 

deps/generate_interfaces.jl

@@ -1,4 +1,4 @@
-using oneAPI_Support_Headers_jll
+import oneAPI_Support_Headers_LTS_jll as oneAPI_Support_Headers_jll
 
 include("generate_helpers.jl")
 
@@ -337,12 +337,34 @@ function generate_headers(library::String, filename::Vector{String}, output::Str
     end
   end
 
+  # Dedup: when two signatures map to the same C function name (because MKL
+  # added an overload), keep the one with more parameters — typically the
+  # newer signature (e.g. set_csr_data gained an `nnz` arg in MKL 2025.3.1).
+  # Without this the generated onemkl.cpp has duplicate function definitions
+  # and won't compile.
+  _fn_name(h) = (pos = findfirst('(', h); strip(split(strip(h[1:pos-1]))[end]))
+  _param_cnt(h) = (pos = findfirst('(', h); ep = findnext(')', h, pos); count(==(','), h[pos+1:ep-1]) + 1)
+  keep_idx = Dict{String,Int}()
+  keep_pc  = Dict{String,Int}()
+  for (i, sig) in enumerate(signatures)
+    (sig[2] in blacklist) && continue
+    fn = _fn_name(sig[1])
+    pc = _param_cnt(sig[1])
+    if !haskey(keep_idx, fn) || pc > keep_pc[fn]
+      keep_idx[fn] = i
+      keep_pc[fn]  = pc
+    end
+  end
+  keep_set = Set(values(keep_idx))
+
   path_oneapi_headers = joinpath(@__DIR__, output)
   oneapi_headers = open(path_oneapi_headers, "w")
 
-  for (header, name_routine, version, type_routine, template) in signatures
+  for (i, (header, name_routine, version, type_routine, template)) in enumerate(signatures)
     # Blacklist
     (name_routine in blacklist) && continue
+    # Dedup
+    (i in keep_set) || continue
 
     # Pass scalars (e.g. alpha/beta inputs) as references instead of values
     for type in ("short", "float", "double", "float _Complex", "double _Complex")