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Thursday, 3 January 2013. How to Measure Computation Time for CUDA Kernels. To measure the computation time of a kernel, or data transfer from host to device or backwards, use the following code. CudaEvent t start,stop;. Float elapsedTime; br. Your cuda code goes here. CUDA KERNEL STUFF HERE. CudaEventElapsedTime(&elapsedTime,start,stop);. Cout " n nElapsed Time = " elapsedTime " ms";. Also note that you might need to include cuda runtime.h. Among the included files in the beginning of your program.

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Thursday, 3 January 2013. How to Measure Computation Time for CUDA Kernels. To measure the computation time of a kernel, or data transfer from host to device or backwards, use the following code. CudaEvent t start,stop;. Float elapsedTime; br. Your cuda code goes here. CUDA KERNEL STUFF HERE. CudaEventElapsedTime(&elapsedTime,start,stop);. Cout n nElapsed Time = elapsedTime ms;. Also note that you might need to include cuda runtime.h. Among the included files in the beginning of your program.

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2 initialize cuda events

3 creating events

4 cudaeventcreate &start ;

5 cudaeventcreate &stop ;

6 cudaeventrecord start 0 ;

7 finish recording

8 cudaeventrecord stop 0 ;

9 cudaeventsynchronize stop ;

10 calculate elapsed time

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Thursday, 3 January 2013. How to Measure Computation Time for CUDA Kernels. To measure the computation time of a kernel, or data transfer from host to device or backwards, use the following code. CudaEvent t start,stop;. Float elapsedTime; br. Your cuda code goes here. CUDA KERNEL STUFF HERE. CudaEventElapsedTime(&elapsedTime,start,stop);. Cout " n nElapsed Time = " elapsedTime " ms";. Also note that you might need to include cuda runtime.h. Among the included files in the beginning of your program.

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HPCDen: My Experience with CUDA & GPUs

http://www.hpcden.blogspot.com/2012/06/my-experience-with-cuda-gpus.html

Sunday, 10 June 2012. My Experience with CUDA and GPUs. Like most of You, I started learning GPU programming on my own. I got hold of the book titled "CUDA By Example" from nVIDIA website and started gobbling it page by page. The funny thing was, right in the beginning of Chapter 1, it was mentioned that only three (03) things are needed to learn and write a CUDA program, namely:-. 1 Visual Studio 2008. 3 A Graphical Processing Unit (GPU). Sunday, June 10, 2012. Subscribe to: Post Comments (Atom).

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HPCDen: How to run CUDA in Emulation Mode

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Monday, 11 June 2012. How to run CUDA in Emulation Mode. Some beginners feel a little bit dejected when they find that their systems do not contain GPUs to learn and work with CUDA. In this blog post, I shall include the step by step process of installing and executing CUDA programs in emulation mode on a system with no GPU installed in it. Please note that I performed the following steps for a Dell Xeon with Windows 7 (32-bit) system. 1 Acquire and install Microsoft Visual Studio 2008 on your system.

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HPCDen: How to Measure Computation Time for CUDA Kernels

http://www.hpcden.blogspot.com/2013/01/how-to-measure-computation-time-for.html

Thursday, 3 January 2013. How to Measure Computation Time for CUDA Kernels. To measure the computation time of a kernel, or data transfer from host to device or backwards, use the following code. CudaEvent t start,stop;. Float elapsedTime; br. Your cuda code goes here. CUDA KERNEL STUFF HERE. CudaEventElapsedTime(&elapsedTime,start,stop);. Cout " n nElapsed Time = " elapsedTime " ms";. Also note that you might need to include cuda runtime.h. Among the included files in the beginning of your program.

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HPCDen: June 2012

http://www.hpcden.blogspot.com/2012_06_01_archive.html

Monday, 11 June 2012. How to run CUDA in Emulation Mode. Some beginners feel a little bit dejected when they find that their systems do not contain GPUs to learn and work with CUDA. In this blog post, I shall include the step by step process of installing and executing CUDA programs in emulation mode on a system with no GPU installed in it. Please note that I performed the following steps for a Dell Xeon with Windows 7 (32-bit) system. 1 Acquire and install Microsoft Visual Studio 2008 on your system.

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HPCDen: January 2013

http://www.hpcden.blogspot.com/2013_01_01_archive.html

Thursday, 3 January 2013. How to Measure Computation Time for CUDA Kernels. To measure the computation time of a kernel, or data transfer from host to device or backwards, use the following code. CudaEvent t start,stop;. Float elapsedTime; br. Your cuda code goes here. CUDA KERNEL STUFF HERE. CudaEventElapsedTime(&elapsedTime,start,stop);. Cout " n nElapsed Time = " elapsedTime " ms";. Also note that you might need to include cuda runtime.h. Among the included files in the beginning of your program.

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Thursday, 3 January 2013. How to Measure Computation Time for CUDA Kernels. To measure the computation time of a kernel, or data transfer from host to device or backwards, use the following code. CudaEvent t start,stop;. Float elapsedTime; br. Your cuda code goes here. CUDA KERNEL STUFF HERE. CudaEventElapsedTime(&elapsedTime,start,stop);. Cout " n nElapsed Time = " elapsedTime " ms";. Also note that you might need to include cuda runtime.h. Among the included files in the beginning of your program.

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