CUDA On The CS Linux Clients - Revision history

Steve410 at 13:26, 13 April 2020

2020-04-13T13:26:15Z

Phil.cs.jhu.edu at 13:21, 2 January 2018

2018-01-02T13:21:10Z

Steve410.cs.jhu.edu: /* CUDA On The CS Linux Clients */

2018-01-02T11:43:48Z

CUDA On The CS Linux Clients

Steve410.cs.jhu.edu: /* CUDA On The CS Linux Clients */

2018-01-02T11:43:13Z

CUDA On The CS Linux Clients

Steve410.cs.jhu.edu: /* CUDA On The CS Linux Clients */

2018-01-02T11:42:46Z

CUDA On The CS Linux Clients

Steve410.cs.jhu.edu: /* CUDA On The CS Linux Clients */

2018-01-02T11:39:56Z

CUDA On The CS Linux Clients

Steve410.cs.jhu.edu at 11:39, 2 January 2018

2018-01-02T11:39:44Z

Steve410.cs.jhu.edu at 11:38, 2 January 2018

2018-01-02T11:38:24Z

Steve410.cs.jhu.edu: Created page with "==CUDA On The CS Linux Clients]] :'''CUDA''' is a parallel computing platform and application programming interface (API) model created by Nvidia. :It will only run on our [..."

2018-01-02T11:38:08Z

Created page with "==CUDA On The CS Linux Clients]] :'''CUDA''' is a parallel computing platform and application programming interface (API) model created by Nvidia. :It will only run on our [..."

New page

==CUDA On The CS Linux Clients]]

:'''CUDA''' is a parallel computing platform and application programming interface (API) model created by Nvidia.

:It will only run on our [https://support.cs.jhu.edu/wiki/GPUs_In_The_CS_Linux_Clients CS Linux clients that include GPUs].

:Although the CS IT Support Group makes the CUDA software available on our GPU-enabled systems, we, ourselves, do not use CUDA, and therefore, are unfamiliar with how to best run it as a user.

:The CUDA tools should work as their standard documentation say they do. If, for some reason, they do not, please email [mailto:support@cs.jhu.edu support@cs.jhu.edu] and let us know as much information as possible, and we'll see if we can help correct CUDA installation.

:To learn how to use CUDA, we recommend consulting its online documentation or discussing its use with your instructor.

[[Category Software]]

← Older revision		Revision as of 13:26, 13 April 2020
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−	[[Category:Software]]	+	[[Category:Software Available On The CS Linux Clients]]

@@ Line 1: / Line 1: @@
 ==CUDA On The CS Linux Clients==
-:[http://www.nvidia.com/object/cuda_home_new.html '''CUDA'''] is a parallel computing platform and application programming interface (API) model created by Nvidia.
+:[https://developer.nvidia.com/cuda-zone '''CUDA'''] is a parallel computing platform and application programming interface (API) model created by Nvidia.
-:It will only run on our [https://support.cs.jhu.edu/wiki/GPUs_In_The_CS_Linux_Clients CS Linux clients that include GPUs].
+:It will only run on our [[GPUs In The CS Linux Clients|CS Linux clients that include GPUs]].
-:Although the CS IT Support Group makes the CUDA software available on our GPU-enabled systems, we, ourselves, do not use CUDA, and therefore, we are unfamiliar with how to best run it as a user.
+:Although the CS IT Support Group makes the CUDA software available on our GPU-enabled systems, we do not use CUDA ourselves.  We therefore do not have the experience necessary to provide instructions on how to use the CUDA toolchain and libraries.
-:The CUDA tools should work as their standard documentation say they do.  If for some reason they do not, please email [mailto:support@cs.jhu.edu support@cs.jhu.edu] and let us know as much information as possible, and we'll see if we can help correct the CUDA install issue.
+:The CUDA tools should work as their standard documentation say they do.  If for some reason they do not, please email [mailto:support@cs.jhu.edu support@cs.jhu.edu] and let us know as much information as possible, and we'll see if we can help correct the issue with our installation.
 :To learn how to use CUDA, we recommend consulting its online documentation or discussing its use with your instructor.

@@ Line 7: / Line 7: @@
 :Although the CS IT Support Group makes the CUDA software available on our GPU-enabled systems, we, ourselves, do not use CUDA, and therefore, we are unfamiliar with how to best run it as a user.
-:The CUDA tools should work as their standard documentation say they do.  If for some reason they do not, please email [mailto:support@cs.jhu.edu support@cs.jhu.edu] and let us know as much information as possible, and we'll see if we can help correct CUDA installation.
+:The CUDA tools should work as their standard documentation say they do.  If for some reason they do not, please email [mailto:support@cs.jhu.edu support@cs.jhu.edu] and let us know as much information as possible, and we'll see if we can help correct the CUDA install issue.
 :To learn how to use CUDA, we recommend consulting its online documentation or discussing its use with your instructor.

@@ Line 7: / Line 7: @@
 :Although the CS IT Support Group makes the CUDA software available on our GPU-enabled systems, we, ourselves, do not use CUDA, and therefore, we are unfamiliar with how to best run it as a user.
-:The CUDA tools should work as their standard documentation say they do.  If, for some reason, they do not, please email [mailto:support@cs.jhu.edu support@cs.jhu.edu] and let us know as much information as possible, and we'll see if we can help correct CUDA installation.
+:The CUDA tools should work as their standard documentation say they do.  If for some reason they do not, please email [mailto:support@cs.jhu.edu support@cs.jhu.edu] and let us know as much information as possible, and we'll see if we can help correct CUDA installation.
 :To learn how to use CUDA, we recommend consulting its online documentation or discussing its use with your instructor.

← Older revision		Revision as of 11:39, 2 January 2018
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−	[[Category Software]]	+	[[Category:Software]]

← Older revision		Revision as of 11:38, 2 January 2018
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−	==CUDA On The CS Linux Clients]]	+	==CUDA On The CS Linux Clients==

	:'''CUDA''' is a parallel computing platform and application programming interface (API) model created by Nvidia.		:'''CUDA''' is a parallel computing platform and application programming interface (API) model created by Nvidia.