![]() If cuBLAS uses internal CUDA streams, their priority now matches the.thisĬould happen in a loop that creates CUDA stream, calls cuBLAS with Fixed a potential cuBLAS hang when cuBLAS API is called withĭifferent CUDA streams but which are the same value-wise (e.g.Fixed incorrect bias gradient computations forĬorresponding matrix (A or B) size is greater than 2 31.TheĬublasGetProperty() API still returns correct ![]() Use cases such as cublasGetVersion() >=ĬUBLAS_VERSION will not break based on how the API was updated. To cuBLAS minor version >= 10 and therefore, depending on how theĪPI is used, version checks based on this API can lead to warnings The cublasGetVersion() API return value was updated due.Performance improvements for the following BLAS Level 3 routines on.Performance improvements for batched GEMV.Note that this feature is only compatible with libraries compiled To enable this feature, set the environment variableĬUDA_MODULE_LOADING=LAZY before launching your Is usually significantly reduced, but is also shifted to later points in the This also defers load latency from the beginning of theĪpplication to the point where a kernel is first called-overall binary load latency This also only loads used kernels, which may result in a significantĭevice-side memory savings. Lazy Loading: Delay kernel loading from host to GPU to the point where the kernel isĬalled.GPU kernel mode driver under dual GPL/MIT license. NVIDIA Open GPU Kernel Modules: With CUDA 11.7 and R515 driver, NVIDIA is open sourcing the The latest NVIDIA software, please follow the instructions here. Repository signing keys will result in package management errors when attempting toĪccess or install packages from CUDA repositories. Repositories, NVIDIA is updating and rotating the signing keys used by apt, dnf/yum,Īnd zypper package managers beginning April 27, 2022. ![]()
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