#Nvidia cuda driver windows 10 software#
#Nvidia cuda driver windows 10 Pc#
#Nvidia cuda driver windows 10 license#
#Nvidia cuda driver windows 10 professional#

Programs released under this license can be used at no cost for both personal and commercial purposes.

#Nvidia cuda driver windows 10 software#

Open Source software is software with source code that anyone can inspect, modify or enhance.

#Nvidia cuda driver windows 10 professional#

Freeware products can be used free of charge for both personal and professional (commercial use). host mem transfer type: Specifies whether a memory transfer uses 'Pageable' or 'Page-locked' memoryДЄlso Available: Download NVIDIA CUDA Toolkit for MacДЇreeware programs can be downloaded used free of charge and without any time limitations.mem transfer size: Memory transfer size in bytes.reg per thread: Number of registers per thread.

sta smem per block: Static shared memory size per block in bytes.

dyn smem per block: Dynamic shared memory size per block in bytes.

block size: Number of threads in a block along X, Y, and Z dimensions is shown as ] in a single column.

grid size: Number of blocks in the grid along the X, Y, and Z dimensions are shown as in a single column.

Profiler counters: Refer the profiler counters section for a list of counters supported.

Occupancy: Occupancy is the ratio of the number of active warps per multiprocessor to the maximum number of active warps.

Stream Id: Identification number for the stream.

Asynchronous memory copy requests in different streams are non-blocking But if any profiler counters are enabled kernel launches are blocking. All kernel launches by default are non-blocking. At driver generated data level, CPU Time is only CPU overhead to launch the Method for non-blocking Methods for blocking methods it is a sum of GPU time and CPU overhead.

CPU Time: It is the sum of GPU time and CPU overhead to launch that Method.

GPU Time: It is the execution time for the method on GPU.

'memcpyDToHasync' means an asynchronous transfer from Device memory to Host memory

Memory copies have a suffix that describes the type of a memory transfer, e.g. This is either 'memcpy*' for memory copies or the name of a GPU kernel.

#Nvidia cuda driver windows 10 Pc#

Download NVIDIA CUDA Toolkit for PC today! To get started, browse through online getting started resources, optimization guides, illustrative examples, and collaborate with the rapidly growing developer community. Develop applications using a programming language you already know, including C, C++, Fortran, and Python. IDE with graphical and command-line tools for debugging, identifying performance bottlenecks on the GPU and CPU, and providing context-sensitive optimization guidance. Using built-in capabilities for distributing computations across multi-GPU configurations, scientists and researchers can develop applications that scale from single GPU workstations to cloud installations with thousands of GPUs. Your CUDA applications can be deployed across all NVIDIA GPU families available on-premise and on GPU instances in the cloud.

For developing custom algorithms, you can use available integrations with commonly used languages and numerical packages as well as well-published development APIs. GPU-accelerated CUDA libraries enable drop-in acceleration across multiple domains such as linear algebra, image and video processing, deep learning, and graph analytics. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to deploy your application. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and HPC supercomputers. NVIDIA CUDA ToolkitВ provides a development environment for creating high-performance GPU-accelerated applications.