CUDA C - Revision history

Scott: /* Download */

2013-01-31T23:30:03Z

Download

← Older revision		Revision as of 23:30, 31 January 2013
Line 11:		Line 11:
	* CUDA SDK		* CUDA SDK

	NOTE: Matlab 2012a does not work with CUDA versions higher than 4.0		'''NOTE: Matlab 2012a does not work with CUDA versions higher than 4.0!'''

	===Install the driver===		===Install the driver===

2013-01-31T23:29:42Z

Download

← Older revision		Revision as of 23:29, 31 January 2013
Line 10:		Line 10:
	* CUDA Toolkit		* CUDA Toolkit
	* CUDA SDK		* CUDA SDK

			NOTE: Matlab 2012a does not work with CUDA versions higher than 4.0

	===Install the driver===		===Install the driver===

2013-01-31T23:28:53Z

Install the CUDA software

← Older revision		Revision as of 23:28, 31 January 2013
Line 51:		Line 51:
	/usr/local/cuda/lib64		/usr/local/cuda/lib64
	/usr/local/cuda/lib		/usr/local/cuda/lib
	~~/usr/local/matlab/bin/glnxa64 # only if you're integrating with Matlab~~
	</pre>		</pre>
	Then run this command to add these to the library path (Ubuntu no longer uses the <code>LD_LIBRARY_PATH</code> environment variable):		Then run this command to add these to the library path (Ubuntu no longer uses the <code>LD_LIBRARY_PATH</code> environment variable):

2013-01-31T21:26:55Z

Install the CUDA software

← Older revision		Revision as of 21:26, 31 January 2013
Line 51:		Line 51:
	/usr/local/cuda/lib64		/usr/local/cuda/lib64
	/usr/local/cuda/lib		/usr/local/cuda/lib
			/usr/local/matlab/bin/glnxa64 # only if you're integrating with Matlab
	</pre>		</pre>
	Then run this command to add these to the library path (Ubuntu no longer uses the <code>LD_LIBRARY_PATH</code> environment variable):		Then run this command to add these to the library path (Ubuntu no longer uses the <code>LD_LIBRARY_PATH</code> environment variable):

2012-06-22T21:20:12Z

Card Properties

← Older revision		Revision as of 21:20, 22 June 2012
Line 352:		Line 352:
	...		...
	}		}
			</source>

			==Query device properties==
			<source lang="c">
			cudaDeviceProp prop;
			cudaGetDeviceProperties(&prop, 0);
			int blocks = 2*prop.multiProcessorCount;
			my_kernel<<<blocks, 256>>>(args);
	</source>		</source>

2012-06-22T21:19:58Z

Query device properties

← Older revision		Revision as of 21:19, 22 June 2012
Line 269:		Line 269:
	cudaEventDestroy( start );		cudaEventDestroy( start );
	cudaEventDestroy( stop );		cudaEventDestroy( stop );
	~~</source>~~

	~~==Query device properties==~~
	~~<source lang="c">~~
	~~cudaDeviceProp prop;~~
	~~cudaGetDeviceProperties(&prop, 0);~~
	~~int blocks = 2*prop.multiProcessorCount;~~
	~~my_kernel<<<blocks, 256>>>(args);~~
	</source>		</source>

2012-06-20T23:40:24Z

Random Numbers

← Older revision		Revision as of 23:40, 20 June 2012
Line 358:		Line 358:
	curand_init(blockIdx.x*threadIdx.x, 0, 0, &s);		curand_init(blockIdx.x*threadIdx.x, 0, 0, &s);
	float randomElement = A[curand(&s) % N];		float randomElement = A[curand(&s) % N];
			...
			}
	</source>		</source>

2012-06-20T23:40:04Z

Random Numbers

← Older revision		Revision as of 23:40, 20 June 2012
Line 353:		Line 353:

	== Random Numbers ==		== Random Numbers ==
	<source lang="~~ruby~~">		<source lang="c">
	__global__ void run(float* A, float* C){		__global__ void run(float* A, float* C){
	curandState s;		curandState s;

2012-06-20T23:39:35Z

Card Properties

← Older revision		Revision as of 23:39, 20 June 2012
Line 351:		Line 351:
	** stream 1: copy from device to host		** stream 1: copy from device to host
	** stream 2: copy from device to host		** stream 2: copy from device to host

			== Random Numbers ==
			<source lang="ruby">
			__global__ void run(float* A, float* C){
			curandState s;
			curand_init(blockIdx.x*threadIdx.x, 0, 0, &s);
			float randomElement = A[curand(&s) % N];
			</source>

	==Card Properties==		==Card Properties==

2012-06-06T17:02:04Z

Program Example