v2.0.0

CUDA v2.0.0

Diff since v1.3.3

Closed issues:

• Test failure during threading tests (#15)
• Bad allocations in memory pool after device_reset! (#16)
• CuArrays can lose Blas on reshaped views (#78)
• allowscalar performance (#87)
• Indexing with a CuArrays causes a 'scalar indexing disallowed' error from checkbounds (#90)
• 5-arg mul! for CUSPARSE (#98)
• copyto!(Device, Host) uses scalar iteration in case of type mismatch (#105)
• Array primitives broken for CUSPARSE arrays (#113)
• SplittingPool: CPU allocations (#117)
• error while concatenating to an empty CuArray (#139)
• Showing sparse arrays goes wrong (#146)
• Improve test coverage (#147)
• CuArrays allocates a lot of memory on the default GPU (#153)
• [Feature Request] Indexing CuArray with CuArray (#155)
• Reshaping CuArray throws error during backpropagation (#162)
• Match syntax and APIs against Julia 1.0 standard libraries (#163)
• CURAND_STATUS_PREEXISTING_FAILURE when setting seed multiple times. (#212)
• RFC: converts SparseMatrixCSC to CuSparseMatrixCSR via cu by default (#216)
• Add a CuSparseMatrixCOO type (#220)
• Test runner stumbles over path separators (#236)
• Error: Invalid bitcode signature when loading CUDA.jl after precompilation (#293)
• Atomic operations only work on global memory (#311)
• Performance: cudnn algorithm selection (#318)
• CUSPARSE is broken in CUDA.jl 1.2 (#322)
• Device-side broadcast regression on 1.5 (#350)
• API for fast math-like mode (#354)
• CUDA 11.0 Update 1: cublasSetWorkspace (#365)
• Can't precompile CUDA.jl on Kubuntu 20.04 (#396)
• CuPtr should be Ptr in cudnnGetDropoutDescriptor (#397)
• CUDA throws OOM error when initializing API on multiple devices (#398)
• Cannot launch kernel with > 5 args using Dynamic Parallelism (#401)
• Reverse performance regression (#410)
• Tag for LLVM 3? (#412)
• CUDA not working (#415)
• StatsBase.transform fails on CuArray (#426)
• Further unification of CUBLAS.axpy! and LinearAlgebra.BLAS.axpy! (#432)
• size(range), length(range) and range[end] fail inside CUDA kernels (#434)
• InitError: Cannot use memory pool 'binned' when CUDA.jl was precompiled for memory pool 'split'. (#446)
• Missing dispatch for matrix multiplication with views? (#448)
• New version not available yet? (#452)
• using CUDA or CUArray, output: UndefVarError: AddrSpacePtr not defined (#457)
• Unable to upgrade to the latest version (#459)

Merged pull requests:

• Performance improvements by calling cuDNN API (#321) (@gartangh)
• Use ccall wrapper for correct pointer type conversions (#392) (@maleadt)
• Simplify Statistics.var and fix dims=tuple. (#393) (@maleadt)
• Adapt to GPUArrays test change. (#394) (@maleadt)
• Default to per-thread stream semantics (#395) (@maleadt)
• Add a missing context argument for stateless codegen. (#399) (@maleadt)
• Keep track of package latency timings. (#400) (@maleadt)
• Update manifest (#402) (@github-actions[bot])
• Latency improvements (#403) (@maleadt)
• Fix bounds checking with GPU views. (#404) (@maleadt)
• Force specialization for dynamic_cudacall to support more arguments. (#407) (@maleadt)
• Fix some wrong pointer types in the CUDNN headers. (#408) (@maleadt)
• Refactor CUSPARSE (#409) (@maleadt)
• Fix typo (#411) (@yixingfu)
• Update manifest (#413) (@github-actions[bot])
• Simplify library wrappers by introducing a CUDA Ref (#414) (@maleadt)
• Simplify and update wrappers (#416) (@maleadt)
• GEMM improvements (#417) (@maleadt)
• CompatHelper: add new compat entry for "BFloat16s" at version "0.1" (#418) (@github-actions[bot])
• add CuSparseMatrixCOO (#421) (@marius311)
• Update manifest (#423) (@github-actions[bot])
• Global math mode for easy use of lower-precision functionality (#424) (@maleadt)
• Improve init error message (#425) (@maleadt)
• CUBLAS: wrap rot! to implement rotate! and reflect! (#427) (@maleadt)
• CUFFT-related optimizations (#428) (@maleadt)
• Fix reverse/view regression (#429) (@maleadt)
• Update packages (#433) (@maleadt)
• Introduce StridedCuArray (#435) (@maleadt)
• Retry curandGenerateSeeds when OOM. (#436) (@maleadt)
• Introduce DenseCuArray union (#437) (@maleadt)
• Array simplifications (#438) (@maleadt)
• Fix and test reverse on wrapped array. (#439) (@maleadt)
• Fixes after recent array wrapper changes (#441) (@maleadt)
• Adapt to GPUArrays changes. (#442) (@maleadt)
• Provide CUBLAS with a pool-backed workspace. (#443) (@maleadt)
• Fix finalization of copied arrays. (#444) (@maleadt)
• Support for/Add CUDA 11.1 (#445) (@maleadt)
• Update manifest (#449) (@github-actions[bot])
• Allow use of strided vectors with mul! (gemv! and gemm!) (#450) (@maleadt)
• Have convert call CuSparseArray's constructors. (#451) (@maleadt)