cudaGraphAddExternalSemaphoresWaitNode().cudaGraphExternalSemaphoresSignalNodeSetParams().cudaGraphExternalSemaphoresSignalNodeGetParams().cudaGraphAddExternalSemaphoresSignalNode().Well as adding nodes by capturing calls to Enables support for explicitly adding these nodes to the graph as This allows new types of synchronization between graph workloads and non-CUDA Two new graph node types: external semaphore signal and external semaphore wait. Two new API functions have been added to get the list ofĪrchitectures supported by the NVRTC library: Added new Driver and Runtime API functions, cuArrayGetPlane andĬudaArrayGetPlane respectively, to get individual format planeĬUDA arrays from multi-planar formatted CUDA arrays.For more details about external resource interoperability API Added support for importing DirectX11/12 textures with formatĭXGI_FORMAT_NV12 via the CUDA external resource.Each device has a default memory pool and custom memory pools can be Significant performance improvements compared toĬoncept of memory pools to provide the application with more control over memory Stream ordered memory allocator: Added new APIs cudaMallocAsync() andĬudaFreeAsync() to enable applications to order memoryĪllocation and deallocation with other work launched into a CUDA stream.Added support for RHEL 7.9, RHEL 8.3, Fedora 33 and Debian 10.6 Buster on x86_64.cusparseXcsr2csr_compress now uses 2-norm for theĬomparison of complex values instead of only the real part.cusparseCsr2cscEx2 now correctly handles empty matrices.NULL argument could cause segmentation fault on COO Array of Structure (CooAoS) format has been deprecated includingĬusparseDestroyDnMat, cusparseDestroy with.cusparseCsrmvEx has been deprecated in favor of.cusparseConstrainedGeMM has been deprecated in favor of.All routines support NVTX annotation for enhancing the profiler time line on.New routine for Sampled Dense Matrix - Dense Matrix MultiplicationĬusparseConstrainedGeMM and provides better.Performance especially for small matrices. Matrix Multiplication ( cusparseSpMM) with better New algorithm ( CUSPARSE_SPMM_CSR_ALG3) for Sparse Matrix.Support for deterministic and non-deterministic computation.Support for mixed regular-complex data type computation.Support for regular/complex bfloat16 data types for both uniform and.
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