CUDA v1.2.1

Diff since v1.2.0

Closed issues:

• CuArrays.zeros(T, 0) fails (#81)
• CUDAnative.cos calls the base cos function in nested broadcast (#102)
• CuSparseMatrixHYB * CuMatrix = nothing (#256)
• Strange reordering of struct fields with dynamic parallelism (#263)
• Performance: bias add (#298)
• CUDA 11 libraries incorrectly looked up in artifact (#300)
• CUTENSOR for windows (#301)
• Performance: sum (#302)
• Performance: getindex(a, i::Array{Int}) (#303)
• Display for CuArray within Tuples does not respect :limit=>true (#305)
• Performance: elementwise operations (#307)
• Performance: perceptron (#312)
• windows install error: isfile(__libcupti[]) (#324)
• std with dims is not type stable (#336)

Merged pull requests:

• Re-enable threading tests. (#25) (@maleadt)
• Reorganize and simplify some includes (#296) (@maleadt)
• Only run benchmarks on the master branch. (#297) (@maleadt)
• Optimizations for broadcast (#299) (@maleadt)
• Update manifest (#304) (@github-actions[bot])
• Test runner improvements for multigpu mode (#309) (@maleadt)
• Artifact improvements for CUDA 11 on Windows (#310) (@maleadt)
• Optimize element-wise operations (#313) (@maleadt)
• Check if reported GPU memory use is available. (#314) (@maleadt)
• Update artifacts: include cusolverMg, and use Yggdrasil binaries. (#315) (@maleadt)
• Specialization fixes for mapreducedim. (#316) (@maleadt)
• Fix invalid conversion of pointer to signed integer. (#317) (@maleadt)
• Work around (presumed) Windows driver bug in exception test. (#319) (@maleadt)
• Update manifest (#323) (@github-actions[bot])
• Bump CUDNN and CUTENSOR (#325) (@maleadt)
• Simplify NVML discovery. (#326) (@maleadt)
• Separate CURAND wrappers from Random impl. (#327) (@maleadt)
• Simplify discovering binaries by using Sys.which. (#328) (@maleadt)
• Add wrapper for NVML utilization rates. (#329) (@maleadt)
• Attach CUSPARSE docstrings to bare methods, not empty functions. (#331) (@maleadt)
• Eagerly reduce the amount of worker threads. (#332) (@maleadt)
• Bump dependencies. (#333) (@maleadt)
• Clean-up library wrappers [NFC] (#334) (@maleadt)
• Fix CUDNN v8 discovery and loading on Windows (#335) (@maleadt)
• Fix type stability of Statistics.var with dims. (#337) (@maleadt)
• Fix parameter alignment for dynamic parallelism. (#338) (@maleadt)
• Micro-optimize Base.fill. (#339) (@maleadt)

CUDA v1.2.0

Diff since v1.1.0

Closed issues:

• Segmentation fault when creating CuArray of CuArray (#133)
• CUDNN tests fail with CUDNN 6.0.20 (#134)
• CURAND fail to initialize, code 203 (#255)
• Deprecation warnings (#277)
• Can we pleeeeeeeease make cu(x) eltype preserving? (#278)
• On the use of @sync during benchmarking in the documentation (#279)
• Example in Multiple GPUs doc fails (#282)
• LLVM error: Cannot cast between two non-generic address spaces (#286)

Merged pull requests:

• Host-side CUTENSOR (#243) (@kshyatt)
• Add and document a non-blocking version of at-sync. (#280) (@maleadt)
• Use a custom adaptor for cu so that adapt(CuArray) preserves element types. (#281) (@maleadt)
• Check and warn for library versions. (#284) (@maleadt)
• Add note about nvml dll missing (#288) (@kshyatt)
• Update your PR to have tests pass (#289) (@kshyatt)
• Update manifest (#290) (@github-actions[bot])
• Support CUDA 11 (#291) (@maleadt)
• do not open the file twice when reading the libdevice bitcode (#294) (@jakebolewski)

CUDA v1.1.0

Diff since v1.0.2

Closed issues:

• Fix NSight detection (#29)
• versioninfo() (#34)
• throw_... messages: invalid call to jl_alloc_string (#54)
• INTERNAL_ERROR during CUDNN handle creation (#183)
• Improve benchmarking suite (#222)
• How to load CUDA.jl conditional on the computer having a CUDA-compatible GPU? (#237)
• CUSOLVER.heevd! returning Float and not Complex (#238)
• Broadcasting fails with Float64 -> Int conversion (#240)
• Running ] test CUDA with OhMyREPL in startup.jl causes some tests to fail (#246)
• ERROR: Your LLVM does not support the NVPTX back-end. in local project environment (#249)
• CUDAnative: UndefVarError: AddrSpacePtr not defined on julia master (#250)
• Error while freeing CUDA.CuPtr (#254)
• Non-artifact initialization of CUDA.jl using CUDA 11 fails on Windows (#262)
• Library handle creation close to OOM fails with ERROR_NOT_INITIALIZED (#264)
• has(::TargetIterator, name::String) deprecation warning (#271)

Merged pull requests:

• Add texture support from CuTextures.jl (#209) (@maleadt)
• Memory pinning with interval trees (#233) (@maleadt)
• Better nsys detection. (#234) (@maleadt)
• CompatHelper: add new compat entry for "IntervalTrees" at version "1.0" (#235) (@github-actions[bot])
• Update manifest (#239) (@github-actions[bot])
• Replace slash by path separator to properly skip tests on Windows. (#241) (@maleadt)
• Retry cudnnCreate on CUDNN_STATUS_INTERNAL_ERROR and CUDNN_STATUS_NOT_INITIALIZED (#244) (@maleadt)
• Add issue templates (#245) (@maleadt)
• Import wrapper tooling, wrap NVML (#248) (@maleadt)
• Ignore some potentially unsupported NVML features. (#251) (@maleadt)
• Assert NVPTX availability by just calling the initializer. (#252) (@maleadt)
• Update manifest (#257) (@github-actions[bot])
• Adapt to AddrSpacePtr rename. (#258) (@maleadt)
• Typo in installation overview docs (#260) (@clintonTE)
• Update GPUCompiler.jl (#266) (@maleadt)
• Retry library initialization failure due to (badly reported) OOM. (#268) (@maleadt)
• Upgrade CUTENSOR to v1.1.0. (#269) (@maleadt)
• Use CUDNN from Yggdrasil. (#272) (@maleadt)
• Update manifest (#273) (@github-actions[bot])
• Improve local CUDA discovery for CUDA 11 (#274) (@maleadt)
• Compatibility with latest LLVM and GPUCompiler (#275) (@maleadt)

CUDA v1.0.2

Diff since v1.0.1

Closed issues:

• Dynamic generation of docs including benchmarking timings can make the numbers "weird" (#11)

Merged pull requests:

• Documentation updates (#227) (@maleadt)
• Don't extend Base.findfirst with an unrelated method. (#230) (@maleadt)
• CompatHelper: bump compat for "NNlib" to "0.7" (#232) (@github-actions[bot])

CUDA v1.0.1

Diff since v1.0.0

CUDA v1.0.0

Diff since v0.1.0

Closed issues:

• unsafe_copy3d!: srcPos and dstPos handling (#27)
• Test failure on Windows (#37)
• Texture memory? (#46)
• Tests for the LLVM passes (#52)
• Bugged Sparse Matrix-Dense matrix multiplication, where dense matrix is transposed (#77)
• Stack overflow when broadcasting over empty view in CuArrays 2.x (#82)
• Sparse CSC gemm wrappers actually call CSR routines (#181)
• Testsuite calls startup.jl (#182)
• LLVM error: Cannot cast between two non-generic address spaces (#190)
• Error running CUDA in Jupyter (#195)
• Floating-point Inf causes an error (#205)
• mul! issue (#213)

Merged pull requests:

• include potri and test (#179) (@erathorn)
• Fix sparse-dense matmul, with transposed dense (#180) (@irhum)
• Behave like Base wrt. test flags. (#184) (@maleadt)
• fix sparse CSC gemm and test (closes #181) (#185) (@jebej)
• Add speciatization functions f(ctx, x) = f(x) for GPUArrays randn! function (#186) (@Ellipse0934)
• Add inplace test for rand (#187) (@kshyatt)
• Fix cushow tests on Windows. (#188) (@maleadt)
• More tests for CUSPARSE (#189) (@kshyatt)
• fixed gels_batched! issue (#191) (@clintonTE)
• Added wrappers for cusolverDnpotrfBatched (#192) (@IvanYashchuk)
• Added wrappers for cusolverDnpotrsBatched (#193) (@IvanYashchuk)
• Compatibility with Julia 1.5 (#194) (@maleadt)
• Add gemmex wrapper and test (#196) (@kshyatt)
• Fix handling of srcPos and dstPos in unsafe_copy3d! (#197) (@samo-lin)
• Prefer a local CUDA installation when running on CI, reinstate Julia 1.3. (#198) (@maleadt)
• Add support for mixed precision (#200) (@kshyatt)
• Add texture support from CuTextures.jl (#206) (@maleadt)
• Error throwing tests (#207) (@kshyatt)
• Update manifest (#208) (@github-actions[bot])
• A few more tests for cusparse (#210) (@kshyatt)
• Specialize Base.mightalias for better broadcast performance. (#211) (@maleadt)
• Fix some mul! ambiguities, and dispatch more to CUBLAS. (#214) (@maleadt)
• CUDA 11 compatibility entries (#221) (@maleadt)
• Benchmark suite: tune and cache params (#223) (@maleadt)
• Add benchmarks (#224) (@maleadt)
• Update manifest (#225) (@github-actions[bot])

CUDA v0.1.0

Closed issues:

• Documentation: installation instructions (#1)
• Faced some errors while testing cuda in Julia (#3)
• facing unknown errors while compiling exact similar code for parallelization on CPU (#7)

Merged pull requests:

• Fix typo (#2) (@innerlee)
• Doc: fix comment on how memory is moving (#4) (@mbauman)
• Install TagBot as a GitHub Action (#8) (@JuliaTagBot)
• small grammar/typo tweaks to the introduction tutorial (#12) (@KristofferC)
• Add code of other CUDA packages (#14) (@maleadt)
• Initialize the memory pool (#19) (@maleadt)
• Improve initialization for threading (#20) (@maleadt)
• Don't use BinaryBuilder for most CI tests. (#21) (@maleadt)