v0.9.1

Sparse support + bugfixes

• New operators: argminmax, dense2sparse, sparse2dense, interp1, normalize, argsort
• Removed requirement for --relaxed-constexpr
• Added MatX NVTX domain
• Significantly improved speed of svd and inv
• Python integration sample
• Experimental sparse tensor support (SpMM and solver routines supported)
• Significantly reduced FFT memory usage

What's Changed

• Moving definition of CUB cache up by @cliffburdick in #771
• Added documentation of memory types by @cliffburdick in #770
• Cleaning up non-const operator() to avoid code duplication by @cliffburdick in #769
• Switch to CUB/Thrust backend for cuda executor argmax by @tmartin-gh in #772
• Refactor cub argmax to generic cub reduce, use for argmin. Fixes #774. by @tmartin-gh in #776
• Change any() and all() to use CUB's reduce by @tmartin-gh in #777
• Add argminmax operator by @tmartin-gh in #778
• Fix matx::HostExecutor segfault with argmin/argmax by @tmartin-gh in #780
• Added new cusolverDnXsyevBatched API for batched eigen calls for CTK 12.6.2 and up by @cliffburdick in #781
• cub.h CUDACC guards for custom ops by @nvjonwong in #782
• Add example compiled with host compiler to catch regressions. by @tmartin-gh in #783
• Remove relaxed constexpr by @cliffburdick in #775
• Cleanup versions.json so jq can parse it. by @alliepiper in #785
• Allow rapids-cmake's version file to be overridden. by @alliepiper in #786
• Update rapids-cmake (branch-24.12@03ec7ef) by @alliepiper in #787
• Created MatX NVTX domain by @cliffburdick in #784
• Update docs github action by @tmartin-gh in #789
• Update docs github action by @tmartin-gh in #790
• Work around compiler parser bug by @cliffburdick in #791
• Updating developer documentation by @cliffburdick in #793
• Modify concat op to enable concatenating float3. by @nvjonwong in #792
• Fix rapids cmake by @alliepiper in #799
• Switched to getRs instead of getRi for faster inverse by @cliffburdick in #797
• Update CMakeLists.txt by @cliffburdick in #801
• Support half precision R2C transforms by @cliffburdick in #796
• Fix gcc13 erroneous warning by @cliffburdick in #802
• fixed missing forwarding code for allocate by @aartbik in #804
• Fix bug with eye, and also zero workspace before LU factorization by @cliffburdick in #807
• Change shape_type for the remap op by @nvjonwong in #806
• Faster batched SVD for small sizes by @cliffburdick in #805
• Fixing broadcasting in all operator() by @cliffburdick in #795
• Add a better error on memory allocation failure by @cliffburdick in #808
• Fix solver interfaces to use executor in cache by @cliffburdick in #809
• Python integration sample by @tmartin-gh in #812
• Fixes for clang17 errors/warnings by @cliffburdick in #815
• Misc Cleanup by @tmartin-gh in #814
• frexp_fix by @cliffburdick in #817
• Adding structures needed for sparse support by @cliffburdick in #819
• fix missing newline at EOF (to avoid future diff issues) by @aartbik in #822
• add size() to container storage by @aartbik in #824
• minor edit for sparse (layout and proper swap def) by @aartbik in #820
• add a to-string method for memory space by @aartbik in #823
• Cleanup cmake usage when MatX is a dependent project by @tmartin-gh in #827
• Fixing warnings issues by clang-19, both host and device by @cliffburdick in #825
• Update build_docs actions to newest. Add CI_RUN_DATETIME in version.rst by @tmartin-gh in #829
• introduce a versatile sparse tensor type to MatX (experimental) by @aartbik in #821
• Add initial tiff support by @tmartin-gh in #831
• Make dim2lvl translation for printing more in the style of MatX by @aartbik in #832
• Expose tensor format (and lvl specs) to sparse tensor data by @aartbik in #833
• Add cross product operator by @mfzmullen in #818
• remove LVL depth restriction with constexpr templating by @aartbik in #834
• Guard all DIM/LVL recursion against completely empty format by @aartbik in #835
• Adjust half-type threshold for cross product unit tests by @mfzmullen in #838
• Added fp32 version of normcdf by @cliffburdick in #839
• Changing black scholes to float and improving performance by @cliffburdick in #840
• Implement the () operator on sparse tensors by @aartbik in #837
• Support operators into einsum interface by @cliffburdick in #845
• Add print function with nonzero dim args by @tbensonatl in #844
• Updated CCCL to fix regression in newer CTK versions by @cliffburdick in #846
• First version of MATX SpMM (using dispatch to cuSPARSE) by @aartbik in #843
• Moved sparse operator() into tensor_impl_t by @cliffburdick in #841
• Adding timing metrics to CUDA and host executors by @cliffburdick in #842
• Remove dense "testers" from the sparse tensor format type by @aartbik in #847
• cuDSS by @cliffburdick in #848
• Update deprecated CUB types by @cliffburdick in #851
• Renamed versatile into universal for sparse tensor types by @aartbik in #850
• Ignore incorrect gcc warning in einsum by @cliffburdick in #853
• Added documentation on integrating with existing software by @cliffburdick in #852
• Add compile-time check for minimum CUDA arch by @tbensonatl in #855
• First version of MATX Sparse-Direct-Solve (using dispatch to cuDSS) by @aartbik in #849
• First version of MATX sparse2dense conversion (dispatch to cuSPARSE) by @aartbik in #856
• Improve cuFFT errors by @cliffburdick in #860
• workaround for CTAD bug in NVC++ by @cliffburdick in #859
• Add note about host-allocated memory to external guide by @cliffburdick in #862
• Cleanup to use pass-by-reference more consistently by @aartbik in #861
• Move empty storage construction to inline helper method by @aartbik in #857
• Make CCCL copy false by @cliffburdick in #865
• Remove test for free memory on FFTs by @cliffburdick in #864
• Fix initializer list order by @tmartin-gh in #867
• Initialize host cuRAND API when using host compiler by @cliffburdick in #866
• Add user-friendly assertions to make_sparse_tensor by @aartbik in #869
• Add "zero" matrix factor methods for COO,CSR,CSC by @aartbik in #870
• First version of MATX dense2sparse conversion (dispatch to cuSPARSE) by @aartbik in #868
• Add sparse factory method tests by @aartbik in #871
• Enforce library restrictions on MatX transformations by @aartbik in #872
• Add sparse conversion tests (dense2sparse, sparse2dense) by @aartbik in #873
• Add sparse direct-solver tests by @aartbik in #874
• Add SpMM tests by @aartbik in #875
• Refactored OperatorTests.cu for faster compilation time by @cliffburdick in #876
• Test feeding dense output as intermediate for the new sparse ops by @aartbik in #877
• Use transitive include in benchmarks cmake by @cliffburdick in #880
• Remove const qualifier on input to thrust iterator by @cliffburdick in #879
• allow incoming transformations for convert by @aartbik in #881
• allow for incoming/outgoing transformations on SpMM by @aartbik in #884
• Update sparse_tensor_format.h by @cliffburdick in #886
• allow transforming output for sparse2dense by @aartbik in #882
• allow for incoming and outgoing transformations on solve by @aartbik in #883
• modify constexpr fall-through return into else by @aartbik in #888
• Revert broadcasting changes to concat by @cliffburdick in #890
• Added CUDA executor alias by @cliffburdick in #891
• Do not create CUDA events in ephemeral executors by @cliffburdick in #889
• Update to CCCL 2.8.0 by @cliffburdick in #895
• MatX Containers by @tylera-nvidia in #892
• Add configurable Pwelch scaling and improve performance by @tmartin-gh in #897
• Fix initialization order of stream/profiling by @cliffburdick in #893
• Start sparse tensor documentation by @aartbik in #898
• add various references to sparse tensor api, extend type doc by @aartbik in #901
• feat: added economic QR by @mfzmullen in #903
• Add SpMV support for matvec transformation by @aartbik in #904
• Support mixed-precision for SpMM by @aartbik in #906
• Refine print order and skip device contents by @aartbik in #908
• Support mixed-precision for SpMV by @aartbik in #907
• Add a SpMM (COO) benchmark (all types) by @aartbik in #909
• Enabled mixed precision tests for SpMM and SpMV by @aartbik in #910
• fixed sparse tensor print format by @aartbik in #913
• Add guard for Dss support to sparse solver test by @aartbik in #915
• minor code cleanup by @aartbik in #916
• guard half type usage with proper cuda capability by @aartbik in #917
• Implemented sparse2sparse transformation (COO to CSR using cuSPARSE) by @aartbik in #918
• minor code cleanup by @aartbik in #919
• Add COO to CSR test by @aartbik in #921
• Fixed bug in sort() where memory was not properly freed by @cliffburdick in #922
• Improve tensor format types by @aartbik in #923
• Change rank limit for batching by @nvjonwong in #911
• Add std::complex to dlpack converter by @cliffburdick in #924
• typo: missing closing brace in docs by @simonbyrne in #927
• changed order of level exp / format in the file by @aartbik in #925
• various stylistic changes to sparse tensor format file by @aartbik in #930
• Disable additional NaN/Inf checks for complex ops by @tbensonatl in #932
• Add CMake option to enable -lineinfo; update docs by @tbensonatl in #933
• Update linspace for more of a pythonic syntax by @cliffburdick in #935
• Remove MATX_ROOT macro by @cliffburdick in #937
• Fix build issues with 32-bit indices by @tbensonatl in #938
• Bump GTest version for CMake 4.0 compatibility. by @alliepiper in #939
• Improve clone docs by @simonbyrne in #942
• Fix rank of linspace by @cliffburdick in #943
• Destroy events for profiling by @cliffburdick in #944
• Add support for as_int64 and as_uint64 casts by @tmartin-gh in #945
• Update nvbench to fix compiler errors by @cliffburdick in #948
• Add ddof parameter to stdd by @ahmedhus22 in #950
• implement basic interp by @simonbyrne in #936
• Fix ExecArgReduce compile error with matxBinaryOp by @tmartin-gh in #947
• Add Normalize function by @ahmedhus22 in #951
• Fix compiler warning by @cliffburdick in #952
• Fix build error using shape_type in std::conditional_t by @tbensonatl in #954
• Fixing another compiler warning by @cliffburdick in #955
• Use sincos() rather than separate sin/cos for expj by @tbensonatl in #958
• add argsort operator by @simonbyrne in #956
• Reduce FFT Memory Usage by @cliffburdick in #961
• Fix accidental example checkin by @cliffburdick in #960
• simplify OptimizedExecSort by @simonbyrne in #962

New Contributors

• @alliepiper made their first contribution in #785
• @aartbik made their first contribution in #804
• @simonbyrne made their first contribution in #927
• @ahmedhus22 made their first contribution in #950

Full Changelog: v0.9.0...v0.9.1