v5.1.0

CUDA v5.1.0

CUDA.jl 5.1 greatly improves the support of two important parts of the CUDA toolkit: unified memory, for accessing GPU memory on the CPU and vice-versa, and cooperative groups which offer a more modular approach to kernel programming. For more details, see the blog post.

Diff since v5.0.0

Merged pull requests:

• [CUSOLVER] Add generic routines (#2074) (@amontoison)
• Rework and extend the cooperative groups API. (#2081) (@maleadt)
• [CUSOLVER] Add a method for geqrf! (#2085) (@amontoison)
• Fix some typos in perfomance tips (#2086) (@Zentrik)
• Improve PTX ISA selection (#2088) (@maleadt)
• Update manifest (#2090) (@github-actions[bot])
• support ChainRulesCore inplaceability (#2091) (@piever)
• Add a method inv(CuMatrix) (#2095) (@amontoison)
• Add mul!(A, B, C) where B or C is a diagonal matrix (#2096) (@amontoison)
• Add CUDA_Runtime_Discovery dependency to sublibraries. (#2097) (@maleadt)
• Handle and test zero-size inputs to RNGs. (#2098) (@maleadt)
• Add a with_workspaces function (#2099) (@amontoison)
• [CUSOLVER] Add a method for getrf! (#2100) (@amontoison)
• [CUSOLVER] Fix a typo with jobu / jobvt in gesvd (#2101) (@amontoison)
• Call exit when handling exceptions. (#2103) (@maleadt)
• Bump packages. (#2104) (@maleadt)
• Bump actions/checkout from 3 to 4 (#2106) (@dependabot[bot])
• Update manifest (#2107) (@github-actions[bot])
• Make Ref mutable on the GPU. (#2109) (@maleadt)
• CompatHelper: bump compat for CEnum to 0.5, (keep existing compat) (#2110) (@github-actions[bot])
• Small profiler improvements (#2113) (@maleadt)
• Update manifest (#2114) (@github-actions[bot])
• [CUSPARSE] Wrap new functions added with CUDA 12.2 (#2116) (@amontoison)
• [CUSOLVER] Add new methods for \ and inv (#2117) (@amontoison)
• Fix incorrect timing results for CUDA.@elapsed (#2118) (@thomasfaingnaert)
• [CUSOLVER] Interface sparse Cholesky and QR factorizations (#2121) (@amontoison)
• Update manifest (#2123) (@github-actions[bot])
• Profiler: Show used local memory. (#2124) (@maleadt)
• Support for CUDA 12.3 (#2125) (@maleadt)
• [CUSOLVER] Add Add Xsyevdx! and Xgesvdr! (#2127) (@amontoison)
• [CUSOLVER] Add Xgesvdp (#2128) (@amontoison)
• Profiler: don't crop when rendering to a file. (#2131) (@maleadt)
• Regenerate headers for CUDA 12.3. (#2132) (@maleadt)
• [CUSPARSE] Fix a bug with triangular solves (#2134) (@amontoison)
• CompatHelper: add new compat entry for Statistics at version 1, (keep existing compat) (#2135) (@github-actions[bot])
• CompatHelper: add new compat entry for LazyArtifacts at version 1, (keep existing compat) (#2136) (@github-actions[bot])
• Profiler: Parse and visualize NVTX marker data. (#2137) (@maleadt)
• Better support for unified and host memory (#2138) (@maleadt)
• Profiler: Improve compatibility with Pluto.jl and friends. (#2139) (@maleadt)
• Avoid allocations during derived array construction. (#2142) (@maleadt)
• More performance tweaks for memory copying (#2143) (@maleadt)
• Don't use libdevice's fmin/fmax. (#2144) (@maleadt)
• Update documentation (#2146) (@maleadt)
• Fixes for sm_61 (#2151) (@maleadt)
• Update sparse factorizations (#2152) (@amontoison)
• Don't call into LLVM's fmin/fmax on <sm_80. (#2154) (@maleadt)
• Only prefect unified memory if concurrent access is possible. (#2155) (@maleadt)
• Support wrapping an Array with a CuArray without HMM. (#2156) (@maleadt)

Closed issues:

• Element-wise conversion to Duals (#127)
• IDEA: CuHostArray (#28)
• Make Ref pass by-reference (#267)
• view(data, idx) boundschecking is disproportionately expensive (#1678)
• [CUSOLVER] Add a with_workspaces function to allocate two buffers (Device / Host) (#1767)
• dlopen("libcudart") results in duplicate libraries (#1814)
• Support for JLD2 (#1833)
• Windows Defender mis-labels artifacts as threat (#1836)
• Support Cholesky factorization of CuSparseMatrixCSR (#1855)
• Runtime not re-selected after driver upgrade (#1877)
• Failure to initialize with CUDA_VISIBLE_DEVICES='' (#1945)
• Cannot precompile GPU code with PrecompileTools (#2006)
• CUDA_SDK_jll: cuda.h in different locations depending on the platform (#2066)
• PTX ISA 8.1 support (#2080)
• Segmentation fault when importing CUDA (#2083)
• "No system CUDA driver found" on NixOS (#2089)
• CUDA.rand(Int64, m, n) can not be used when m or n is zero (#2093)
• Missing CUDA_Runtime_Discovery as a dependency in cuDNN (#2094)
• Binaries for Jetson (#2105)
• Minimum/maximum of array of NaNs is infinity (#2111)
• Performance regression for multiple @sync copyto! on CUDA v5 (#2112)
• [CUBLAS] Regenerate the wrappers with updated argument types (#2115)
• Unable to allocate unified memory buffers (#2120)
• CUDA 12.3 has been released (#2122)
• atomic min, max for Float32 and Float64 (#2129)
• Native profiler output is limited to around 100 columns when printing to a file (#2130)
• LLVM generates max.NaN which only works on sm_80 (#2148)
• Unified memory-related error on Tegra T194 (#2149)
• Errors on sm_61 (#2150)