v3.5.0

CUDA v3.5.0

Diff since v3.4.2

Closed issues:

• Illegal memory access on 3.3 (#975)
• Forward compatibility (#1071)
• ambiguous sparse constructor (#1088)
• Map reduce with float 16 (#1124)
• Allow invalid GPU pointers not allowed in unsafe_wrap (#1125)
• Scalar Indexing error in the Introduction docs (#1127)
• stackoverflow when printing a custom subtype of AbstractCuSparseMatrix (#1128)
• missing rand methods (#1138)
• Error mapreducing over a 0 dimensional array (#1141)
• seed! is not thread safe (#1158)
• Simplify Int32-based indices (#1160)
• Concatenating a scalar to a CuArray gives an Array (#1162)
• Calling byte_perm with Int32 values inserts sign checks (#1165)
• sum! does not compile for large arrays (#1169)
• Same random sequence on GPU and CPU? (#1170)
• Specifying eltype and buffer type when adapting to CuArray? (#1171)
• Inefficient lop3.lut instructions generated (#1172)
• Writing temporary PTX files can fail (#1173)
• Switching devices doesn't switch the REPL's output task (#1175)
• GC is not working for CuSparseMatrixCSR (#1178)
• sparse*dense operations shouldn't drop sparseness (#1188)
• Raises illegal memory access error randomly (#1189)

Merged pull requests:

• CI fixes (#950) (@maleadt)
• implement sparse (#1093) (@CarloLucibello)
• Use the kernel state object to pass the exception flag location. (#1110) (@maleadt)
• Update manifest (#1123) (@github-actions[bot])
• Improve show methods in sparse GPU arrays. (#1129) (@maleadt)
• Use warp intrinsics for a wider range of reductions. (#1130) (@maleadt)
• Support wrapping a host buffer with a CuArray (#1131) (@maleadt)
• support transpose CSC to CUDA CSR (#1132) (@Roger-luo)
• Small improvements to discovery of local toolkits. (#1134) (@maleadt)
• Rework device and context getters. (#1135) (@maleadt)
• Avoid memory operations during graph capture. (#1137) (@maleadt)
• Streamline the random number interface. (#1146) (@maleadt)
• Native device synchronization (#1147) (@maleadt)
• support interpret(reshape) (#1149) (@Roger-luo)
• add a gitignore (#1150) (@Roger-luo)
• Fix normalize on complex number (#1151) (@maleadt)
• Addition and multiplication over cuarray and cusparse (#1152) (@maleadt)
• Preserve Int32 hardware indices (#1153) (@maleadt)
• remove mutable to make device sparse type bitstype (#1154) (@Roger-luo)
• Update manifest (#1155) (@github-actions[bot])
• CompatHelper: bump compat for "BFloat16s" to "0.2" (#1156) (@github-actions[bot])
• Perform actual synchronization API calls when we need the memory (#1157) (@maleadt)
• Binary dependency changes (#1159) (@maleadt)
• Bump dependencies. (#1161) (@maleadt)
• Generalize Sparse Array Indices Type in Struct Def (#1163) (@Roger-luo)
• Use unchecked type conversions for byte_perm arguments (#1166) (@eschnett)
• Fix performance regressions (#1167) (@maleadt)
• Fix big mapreduce kernel for inputs without neutral element. (#1174) (@maleadt)
• Switch contexts before performing memory operations on arrays (#1176) (@maleadt)
• Improvements to stream-ordered memory management (#1177) (@maleadt)
• Update manifest (#1180) (@github-actions[bot])
• Consistently use chars instead of raw enums in CUSPARSE/CUSOLVER functions. (#1181) (@maleadt)
• Implement forward compatibility (#1182) (@maleadt)
• Bump GPUCompiler for 1.8 compat. (#1183) (@maleadt)
• Bump GPUArrays. (#1186) (@maleadt)
• Update documentation (#1187) (@maleadt)