GPU processing - Revision history

import>Cen1001: /* Hardware */

2009-01-19T10:22:39Z

Hardware

← Older revision		Revision as of 10:22, 19 January 2009
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	The Quadro FX 5600 fits nicely into the WoC midi tower cases (after removing the hard drive bay and relocating the hard drive in the floppy bay, where it's somewhat less than securely mounted so treat the hardware gently). We replaced the PSU with an Amtec 560W one to have enough power for the card.		The Quadro FX 5600 fits nicely into the WoC midi tower cases (after removing the hard drive bay and relocating the hard drive in the floppy bay, where it's somewhat less than securely mounted so treat the hardware gently). We replaced the PSU with an Amtec 560W one to have enough power for the card.

	We (well, Daan and Mark) now have [http://www-theor.ch.cam.ac.uk/IT/servers/zero/ zero], a cluster with 12 Nvidia Tesla C870 cards and CUDA 1.1.		We (well, Daan and Mark) now have [http://www-theor.ch.cam.ac.uk/IT/servers/zero/ zero], a cluster with 12 Nvidia Tesla C870 cards and CUDA 2.0.

	== Software install ==		== Software install ==

import>Cen1001: /* Useful links */

2008-09-10T13:15:33Z

Useful links

← Older revision		Revision as of 13:15, 10 September 2008
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	== Useful links ==		== Useful links ==
			* http://www.many-core.group.cam.ac.uk/

	* http://www.oerc.ox.ac.uk/research/many-core-and-reconfigurable-supercomputing		* http://www.oerc.ox.ac.uk/research/many-core-and-reconfigurable-supercomputing
	* http://www.gpgpu.org		* http://www.gpgpu.org

import>Jss43: /* Useful links */

2008-07-04T23:06:27Z

Useful links

← Older revision		Revision as of 23:06, 4 July 2008
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	* http://www.gpgpu.org		* http://www.gpgpu.org
	* http://fastra.ua.ac.be/en/index.html		* http://fastra.ua.ac.be/en/index.html
			* http://blog.interactivesupercomputing.com/starp_blog/tabid/8706/bid/2508/GPUs-Threat-or-Menace.aspx (which matches my gut feeling) --[[User:jss43\|james]] 00:06, 5 July 2008 (BST)

import>Jss43: /* Useful links */

2008-06-09T15:03:12Z

Useful links

← Older revision		Revision as of 15:03, 9 June 2008
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	* http://www.oerc.ox.ac.uk/research/many-core-and-reconfigurable-supercomputing		* http://www.oerc.ox.ac.uk/research/many-core-and-reconfigurable-supercomputing
			* http://www.gpgpu.org
			* http://fastra.ua.ac.be/en/index.html

import>Cen1001: /* Hardware */

2008-06-06T07:31:32Z

Hardware

← Older revision		Revision as of 07:31, 6 June 2008
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	The Quadro FX 5600 fits nicely into the WoC midi tower cases (after removing the hard drive bay and relocating the hard drive in the floppy bay, where it's somewhat less than securely mounted so treat the hardware gently). We replaced the PSU with an Amtec 560W one to have enough power for the card.		The Quadro FX 5600 fits nicely into the WoC midi tower cases (after removing the hard drive bay and relocating the hard drive in the floppy bay, where it's somewhat less than securely mounted so treat the hardware gently). We replaced the PSU with an Amtec 560W one to have enough power for the card.

			We (well, Daan and Mark) now have [http://www-theor.ch.cam.ac.uk/IT/servers/zero/ zero], a cluster with 12 Nvidia Tesla C870 cards and CUDA 1.1.

	== Software install ==		== Software install ==

import>Cen1001: /* Useful links */

2008-06-06T07:29:41Z

Useful links

← Older revision		Revision as of 07:29, 6 June 2008
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	== Useful links ==		== Useful links ==

	* http://~~www2~~.~~maths~~.ox.ac.uk/~~~gilesm~~/~~mrsn.html~~		* http://www.oerc.ox.ac.uk/research/many-core-and-reconfigurable-supercomputing

import>Cen1001 at 07:07, 16 April 2008

2008-04-16T07:07:31Z

← Older revision		Revision as of 07:07, 16 April 2008
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	--[[User:jss43\|james]] 18:00, 5 March 2008 (GMT)		--[[User:jss43\|james]] 18:00, 5 March 2008 (GMT)

			== Useful links ==

			* http://www2.maths.ox.ac.uk/~gilesm/mrsn.html

import>Jss43: /* Tests */

2008-03-05T18:00:39Z

Tests

← Older revision		Revision as of 18:00, 5 March 2008
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	--[[User:jss43\|james]] 16:42, 5 March 2008 (GMT)		--[[User:jss43\|james]] 16:42, 5 March 2008 (GMT)

			It turns out that the makefile isn't so hot at getting the glut library. There is libglut.so.3 and libglut.so.3.8.0 installed in /usr/lib64 (thanks to Greg for pointing this out), but SDK wants libglut.so. If you really want to use this, you can. Just do:

			<pre>
			SDK/lib> ln -s /usr/lib64/libglut.so.3.0.8 libglut.so
			</pre>

			(This is already set up for us on ajax, but not on scepter.) This allows all of the test codes to pass.

			--[[User:jss43\|james]] 18:00, 5 March 2008 (GMT)

import>Jss43: /* Tests */

2008-03-05T17:45:17Z

Tests

← Older revision		Revision as of 17:45, 5 March 2008
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	You will need the cuda module loaded, which contains the toolkit and libraries needed.		You will need the cuda module loaded, which contains the toolkit and libraries needed.

	NVIDIA supply a set of test/example programs. They can be downloaded here: [http://www.nvidia.com/object/cuda_get.html CUDA resources]. Note that you ~~(probably)~~ can only use v1.0 of SDK, as we haven't installed a later version of the drivers yet.		NVIDIA supply a set of test/example programs. They can be downloaded here: [http://www.nvidia.com/object/cuda_get.html CUDA resources]. Note that you can only use v1.0 of SDK, as we haven't installed a later version of the drivers yet. In v1.1 libcuda.so (which is rather vital) is moved from the toolkit into the driver. See [http://forums.nvidia.com/index.php?showtopic=51233&pid=279539&mode=threaded&show=&st=& NVIDIA forum thread] for more information.

	To compile, you just need to do run the SDK binary file and then run make in the base of the resultant directory structure.		To compile, you just need to do run the SDK binary file and then run make in the base of the resultant directory structure.

import>Jss43: /* Tests */

2008-03-05T16:42:18Z

Tests

← Older revision		Revision as of 16:42, 5 March 2008
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	== Tests ==		== Tests ==

			You will need the cuda module loaded, which contains the toolkit and libraries needed.
	NVIDIA supply a set of test/example programs. Catherine has downloaded them all, so I just copied the cen1001:~/NVIDIA_CUDA_SDK directory to my home directory. For various reasons, the libglut library isn't installed, but I don't need this (nor anticipate it being of much use to others, unless they want to use openGL rather than CUDA(!)). It is used in some of the example codes, so make in NVIDIA_CUDA_SDK dies as soon as it gets to the first such code. I got round this by compiling the other codes one at a time. The cuda module needs to be loaded first. A useful command is:

			NVIDIA supply a set of test/example programs. They can be downloaded here: [http://www.nvidia.com/object/cuda_get.html CUDA resources]. Note that you (probably) can only use v1.0 of SDK, as we haven't installed a later version of the drivers yet.

			To compile, you just need to do run the SDK binary file and then run make in the base of the resultant directory structure.

			scepter does not have the glut library installed, so cannot compile some of the openGL tests. We not so interested in this application of the card anyway. You do get errors due to these tests though. To make everything else do:

	<pre>		<pre>
			SDK> make lib/libcutil.so
	~~~/NVIDIA_CUDA_SDK~~/projects> for dir in *; do grep lglut $dir/Makefile 2>&1 >/dev/null ; if [ "$?" -ne "0" ]; then cd $dir; \		SDK/projects> for dir in *; do grep lglut $dir/Makefile 2>&1 >/dev/null ; if [ "$?" -ne "0" ]; then cd $dir; \
	make; cd ..; fi; done		make; cd ..; fi; done
	</pre>		</pre>

			where SDK is the directory to which you extracted NVIDIA_CUDA_SDK_1.0.run.
	The executables are placed in NVIDIA_CUDA_SDK/bin/linux/release/. All the non-glut tests pass.

			The test binaries are in SDK/bin/linux/release. Some accept the help flag. All pass. You can see the test output in
			scepter:~jss43/GPGPU/src/SDK_1.0/bin/linux/release/test-output

	--[[User:jss43\|james]] 13:04, 18 ~~October~~ ~~2007~~ (~~BST~~)		--[[User:jss43\|james]] 16:42, 5 March 2008 (GMT)