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cudanvidia | nVidia & nVidia CUDA programming | cudanvidia.wordpress.com Reviews
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nVidia & nVidia CUDA programming
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8 application programming interface
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cudanvidia | nVidia & nVidia CUDA programming | cudanvidia.wordpress.com Reviews

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nVidia & nVidia CUDA programming

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1

C Function: devSet(int) | cudanvidia

https://cudanvidia.wordpress.com/2010/10/27/c-function-devsetint

And CUDA / Nvidia Tutorials. C Function: devSet(int);. Responses to “C Function: devSet(int)”. Feed for this Entry. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out.

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GPUDATA | cudanvidia

https://cudanvidia.wordpress.com/gpudata

GPUDATA is a cross-platform (Windows/*nix) program written in C to detect GPU operational parameters, and print them to console and/or text file. More functionality is planned to generate a text file that can be used as input parameters to select GPU(s) for CUDA applications. CUDA Toolkit/Binaries must be installed on the host system for GPUDATA to function. Responses to “GPUDATA”. Feed for this Entry. Leave a Reply Cancel reply. Enter your comment here. Address never made public). C Code Execution Timing.

3

Multiple Kernel Utilization (In one host app) | cudanvidia

https://cudanvidia.wordpress.com/2010/10/27/multiple-kernel-utilization-in-one-host-app

Multiple Kernel Utilization (In one host app). Categories: CUDA / Nvidia Tutorials. This example shows two CUDA kernels being executed in one host application. Kernel1: C = A B. Kernel2: C = A * B. This example is extremely simple, demonstrating multiple kernel usage. Responses to “Multiple Kernel Utilization (In one host app)”. Feed for this Entry. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public).

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CUDA Event API | cudanvidia

https://cudanvidia.wordpress.com/2010/10/28/cuda-event-api

CUDA / Nvidia Tutorials. Tags: Advanced Micro Devices. Can be used to accurately time events by starting events at different times, and comparing their start times. Event API Management Functions:. Multiple Timers Using Multiple Events:. Multiple timers can be pushed to time individual Kernels in an application. Initialize timers with different names and use cudaEventElapsedTime to calculate the event recording differences! Screenshot showing a console application with multiple CUDA event API timers.

5

lordachoo | cudanvidia

https://cudanvidia.wordpress.com/author/lordachoo

Author Archive for Andrew Nelson. CUDA / Nvidia Tutorials. Tags: Advanced Micro Devices. Can be used to accurately time events by starting events at different times, and comparing their start times. Event API Management Functions:. Multiple Timers Using Multiple Events:. Multiple timers can be pushed to time individual Kernels in an application. Initialize timers with different names and use cudaEventElapsedTime to calculate the event recording differences! Multiple Kernel Utilization (In one host app).

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cudanvidia | nVidia & nVidia CUDA programming

CUDA / Nvidia Tutorials. Tags: Advanced Micro Devices. Can be used to accurately time events by starting events at different times, and comparing their start times. Event API Management Functions:. Multiple Timers Using Multiple Events:. Multiple timers can be pushed to time individual Kernels in an application. Initialize timers with different names and use cudaEventElapsedTime to calculate the event recording differences! Screenshot showing a console application with multiple CUDA event API timers.

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