HPC/Applications/cuda: Difference between revisions

Revision as of 20:21, November 26, 2012

The initial module release contains the 4.2.x CUDA production release; the recently released version 5.0 is not yet provided.

There are three components to CUDA 4.2:

The CUDA toolkit, containing the compiler nvcc, C include files, and libraries. Load this component as a module to compile and run applications that use GPUs on Carbon.
The driver – a kernel module that is installed on Carbon nodes that have a GPU.
The GPU Computing SDK - code samples and white papers to help you get started writing software with CUDA C/C++. Available on Carbon as

~soft/cuda/dist/4.2/gpucomputingsdk_4.2.9_linux.run
~soft/cuda/dist/4.2/gpucomputingsdk_4.2.9_linux.tar.gz

@@ Line 1: / Line 1: @@
-This module provides the [https://developer.nvidia.com/cuda-toolkit CUDA toolkit], giving access to the compiler <code>nvcc</code> and related C include files.
+The initial module release contains the 4.2.x CUDA production release; the recently released version 5.0 is not yet provided.
-The initial module release contains the 4.9 CUDA production release; the recently released version 5.0 is not yet provided.
+* https://developer.nvidia.com/cuda-toolkit-42-archive
+* http://www.nvidia.com/object/cuda_home_new.html
-* http://www.nvidia.com/object/cuda_home_new.html
+=== Components ===
+There are three components to CUDA 4.2:
+# The [https://developer.nvidia.com/cuda-toolkit CUDA toolkit], containing the compiler <code>nvcc</code>, C include files, and libraries. Load this component as a module to compile and run applications that use GPUs on Carbon.
+# The driver – a kernel module that is installed on Carbon nodes that have a GPU.
+# The [https://developer.nvidia.com/gpu-computing-sdk GPU Computing SDK] - code samples and white papers to help you get started writing software with CUDA C/C++. Available on Carbon as
+ ~soft/cuda/dist/4.2/gpucomputingsdk_4.2.9_linux.run
+ ~soft/cuda/dist/4.2/gpucomputingsdk_4.2.9_linux.tar.gz