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What's new in this version:

CUDA Compiler:
Resolved Issues:
- Previously, when using recent versions of VS 2019 host compiler, a call to pow(double, int) or pow(float, int) in host or device code sometimes caused build failures. This issue has been resolved.

CuSOLVER:
New Features:
- New singular value decomposition (GESVDR) is added. GESVDR computes partial spectrum with random sampling, an order of magnitude faster than GESVD
- libcusolver.so no longer links libcublas_static.a; instead, it depends on libcublas.so. This reduces the binary size of libcusolver.so. However, it breaks backward compatibility. The user has to link libcusolver.so with the correct version of libcublas.so.

CuSPARSE:
New Features:
- New Tensor Core-accelerated Block Sparse Matrix - Matrix Multiplication (cusparseSpMM) and introduction of the Blocked-Ellpack storage format
- New algorithms for CSR/COO Sparse Matrix - Vector Multiplication (cusparseSpMV) with better performance
- New algorithm (CUSPARSE_SPMM_CSR_ALG3) for Sparse Matrix - Matrix Multiplication (cusparseSpMM) with better performance especially for small matrices
- New routine for Sampled Dense Matrix - Dense Matrix Multiplication (cusparseSDDMM) which deprecated cusparseConstrainedGeMM and provides better performance
- Better accuracy of cusparseAxpby, cusparseRot, cusparseSpVV for bfloat16 and half regular/complex data types
- All routines support NVTX annotation for enhancing the profiler time line on complex applications

Deprecations:
- cusparseConstrainedGeMM has been deprecated in favor of cusparseSDDMM
- cusparseCsrmvEx has been deprecated in favor of cusparseSpMV
- COO Array of Structure (CooAoS) format has been deprecated including cusparseCreateCooAoS, cusparseCooAoSGet, and its support for cusparseSpMV

Known Issues:
- cusparseDestroySpVec, cusparseDestroyDnVec, cusparseDestroySpMat, cusparseDestroyDnMat, cusparseDestroy with NULL argument could cause segmentation fault on Windows

Resolved Issues:
- cusparseAxpby, cusparseGather, cusparseScatter, cusparseRot, cusparseSpVV, cusparseSpMV now support zero-size matrices
- cusparseCsr2cscEx2 now correctly handles empty matrices (nnz = 0)
- cusparseXcsr2csr_compress now uses 2-norm for the comparison of complex values instead of only the real part

Extended functionalities for cusparseSpMV:
- Support for the CSC format
- Support for regular/complex bfloat16 data types for both uniform and mixed-precision computation
- Support for mixed regular-complex data type computation
- Support for deterministic and non-deterministic computation

NPP:
New features:
- New APIs added to compute Distance Transform using Parallel Banding Algorithm (PBA) - nppiDistanceTransformPBA_xxxxx_C1R_Ctx() – where xxxxx specifies the input and output combination 8u16u, 8s16u, 16u16u, 16s16u, 8u32f, 8s32f, 16u32f, 16s32f) and nppiSignedDistanceTransformPBA_32f_C1R_Ctx()

Resolved issues:
- Fixed the issue in which Label Markers adds zero pixel as object region

NVJPEG:
New Features:
- nvJPEG decoder added a new API to support region of interest (ROI) based decoding for batched hardware decoder: nvjpegDecodeBatchedEx() and nvjpegDecodeBatchedSupportedEx()

Resolved Issues:
- Previously, reduced performance of power-of-2 single precision FFTs was observed on GPUs with sm_86 architecture. This issue has been resolved
- Large prime factors in size decomposition and real to complex or complex to real FFT type no longer cause cuFFT plan functions to fail

CUPTI:
Deprecations early notice:
- The following functions are scheduled to be deprecated in 11.3 and will be removed in a future release:
- NVPW_MetricsContext_RunScript and NVPW_MetricsContext_ExecScript_Begin from the header nvperf_host.h.
- cuptiDeviceGetTimestamp from the header cupti_events.h