You can download the SDK, Best Practices guide from here: Nvidia OpenCL download
Waiting to try some sample code examples using OpenCL and evaluate how it differs from CUDA :)
Subscribe to:
Post Comments (Atom)
License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License.
Popular Posts
-
After my last post on getting CUDA 2.0 to run on my Mac, I will go through the steps for installing a Nvidia Tesla C1060 on a early 2008 Mac...
-
I have been waiting to get a NVIDIA Fermi GPU to prototype my algorithms, but I was waiting to get an optimized implementation on the Tesla ... -
Installing pyCUDA-0.94.2 can be quite a hassle on CentOS 5.5 Linus OS. As per couple of my posts to the pyCUDA list, I did use the correct p...
-
Here are the instructions I followed for installing Caffe on Mac OSX 10.10 Clone the repository from here: git clone https://github.co...
-
CUDA 2.2 comes with its native debugger support through cuda-gdb. However, I had some problems configuring cuda-gdb on my Linux distro (Cent...
-
Installing CUDA 2.2 on Mac OSX is pretty trivial. Only warning/suggestion: manually remove the CUDA 2.1 SDK directory from /Developer/CUDA D...
-
$ make g++ -c -o mnistCUDNN.o mnistCUDNN.cpp -I. -I/usr/local/cuda/include -I/usr/local/cuda/cudnn -I/opt/local/include -I/usr/local/cu...
-
I recently presented my work at the 2011 International Conference on Engineering of Reconfigurable Systems and Algorithms (ERSA 2011) co...
-
Recently I was looking at options on where to save latex cls and bst files locally on my Mac and I came across this very good source from T...
-
My test machine is an early 200 Mac Pro with a NVIDIA Tesla C1060. Upgrading to CUDA 2.2 on this Mac was relatively easy. Please read my pre...
Subscribe To
Posts
Comments
StatCounter
Blog Top Sites
No comments:
Post a Comment