v3.6.0

CUDA v3.6.0

Diff since v3.5.0

Closed issues:

• Conversion issue (#157)
• Extend new RNG to Complex numbers & normal distributions (#726)
• Fatal errors during sorting tests (#916)
• deepcopy failing (#1202)
• Kernel compilation fails when specifying shared memory array size as a tuple consisting of block dimension and kernel argument (#1205)
• ERROR: LoadError: The artifact at C:\Users\name.julia\artifacts\58bd87695e9ccdb508cb38be1ab717315ecc9152 is empty. (#1209)
• InvalidIRError when displaying a model which is on the GPU (#1212)
• CUDA.jl tries to load CUDA compat loaded via jll even though system package is installed (#1216)
• Synchronizing over blocks (#1220)
• assignment changes random seed (#1226)
• accumulate gives wrong answer when init != 0 (#1227)
• Generic dot kernel: use multiple kernels instead of atomics (#1244)
• integer division error creating CuVector of missing and nothing (#1251)
• unsupported dynamic function invocation with union type of more than 2 elements (#1252)
• three CUDA.@atomic in a row result in out-of-bounds error (#1254)
• Float16 CAS cannot use atom.cas.b16.global on sm_61 (#1258)
• cu(::SVector) gives SVector, cu(::MVector) gives CuArray (#1262)
• Get back unsafe_copyto!methods for unified<-unified and unified<->device (#1263)
• Passing and using a FFT plan in a CUDA kernel seems impossible (#1266)
• Inplace Complex FFT and Threads (#1268)
• sort returns nothing (#1270)
• Release a new version (#1276)
• __init_driver__ not called in 3.5 (#1280)
• Shared memory does not support isbits unions. (#1281)
• NVIDIA Nsight Systems and CUDA.@profile error (#1282)
• nvprof with using CUDA crashes julia (#1283)

Merged pull requests:

• Addition over CuSparseMatrix (#1195) (@yuehhua)
• [CUSOLVER] Add ordering functions (#1198) (@amontoison)
• Correctly handle multi-GPU instances with NVML. (#1199) (@maleadt)
• CI improvements. (#1200) (@maleadt)
• fix FFT workarea typo leading to memory corruption (#1204) (@marius311)
• Update manifest (#1206) (@github-actions[bot])
• Minor improvements for library wrappers (#1207) (@maleadt)
• Various small improvements (#1210) (@maleadt)
• Extend CuDeviceArray ctors for mixed-int indices. (#1211) (@maleadt)
• Deprecate non-blocking sync, and always call the synchronization API. (#1213) (@maleadt)
• Generic CUSPARSE: use the index arguments. (#1214) (@maleadt)
• Add bitonic sort implementation (#1217) (@xaellison)
• Update manifest (#1218) (@github-actions[bot])
• Reverted deepcopy, added test (#1221) (@birkmichael)
• Use broadcast instead of copies to initialize mapreduce buffers. (#1223) (@maleadt)
• Remove some unneeded Base module prefixes. (#1224) (@maleadt)
• Update manifest (#1225) (@github-actions[bot])
• Cherry-picked improvements (#1228) (@maleadt)
• Update introduction.jl (#1232) (@aramirezreyes)
• Update manifest (#1233) (@github-actions[bot])
• Fix SpMV for CUDA 11.5 (#1234) (@amontoison)
• Add support for randn and randexp. (#1236) (@maleadt)
• Avoid double-initializing partial accumulate results. (#1237) (@maleadt)
• Fix cuTENSOR contractions not working for FP16 inputs (#1238) (@thomasfaingnaert)
• Bump CUTENSOR and fix on CUDA 11.5 (#1239) (@maleadt)
• Support dot product on GPU between CuArrays with inconsistent eltypes (#1240) (@findmyway)
• Update manifest (#1241) (@github-actions[bot])
• Optimize CUTENSOR contraction. (#1243) (@maleadt)
• Don't use nondeterministic atomics in dot when requested. (#1245) (@maleadt)
• Remove CUBLAS decomposition tests without pivoting. (#1246) (@maleadt)
• Update manifest (#1247) (@github-actions[bot])
• wrap CUBLAS spmv and spr (#1248) (@bjarthur)
• CompatHelper: bump compat for "SpecialFunctions" to "2" (#1249) (@github-actions[bot])
• Update manifest (#1250) (@github-actions[bot])
• Store array offset as elements to fix all-singleton case. (#1255) (@maleadt)
• Update CUDA to 11.5 Update 1. (#1256) (@maleadt)
• Use Base functionality for iteration Union type components. (#1257) (@maleadt)
• Bump CI to Julia 1.7. (#1260) (@maleadt)
• Update manifest (#1261) (@github-actions[bot])
• Use CUDA APIs for unoptimized copies. (#1265) (@maleadt)
• Bump CUDNN to 8.3.1, enable CUDA 11.5 by default. (#1267) (@maleadt)
• Adding stream update for inplace complex FFT (#1269) (@ovanvincq)
• Fix sort! return type. (#1272) (@maleadt)
• Add const keyword to type aliases declarations. (#1273) (@eliascarv)
• Update manifest (#1274) (@github-actions[bot])
• Avoid eager expansion of CUDA_compat artifact string. (#1275) (@maleadt)
• Allow copies between unified arrays in different contexts. (#1277) (@maleadt)
• fix zeros and ones for user defined types (#1278) (@GiggleLiu)
• Make CUDNN depend on CUBLAS. (#1279) (@maleadt)
• Update manifest (#1286) (@github-actions[bot])
• Restore call to init_driver. (#1287) (@maleadt)
• Improvements for isbits union shared memory (#1288) (@maleadt)