Hello all, I was going through the concept of KGPU, which is a GPU computing framework for the Linux Kernel. I've read the white paper on it(can be found at http://www.cs.utah.edu/~wbsun/kgpu.pdf) and I am very much interested in this project, but what could be the scope of this(although, the paper mentions a few application areas like crypto, networking, fs, etc)? Does the kernel really require GPU's assistance? What is the scope of building kernel frameworks around it? Also the current framework is build using CUDA. I want to re-implement the same using OpenCL as it is supported by most of the GPUs. As per my perspective, I see a huge learning opportunity here. But, practically how fas is it useful? Any suggestions would be helpful. Thanks Raghavendra. ------------------------------------------------------------------------------------------------------------------------------- [ C-DAC is on Social-Media too. Kindly follow us at: Facebook: https://www.facebook.com/CDACINDIA & Twitter: @cdacindia ] This e-mail is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies and the original message. Any unauthorized review, use, disclosure, dissemination, forwarding, printing or copying of this email is strictly prohibited and appropriate legal action will be taken. ------------------------------------------------------------------------------------------------------------------------------- _______________________________________________ Kernelnewbies mailing list Kernelnewbies@xxxxxxxxxxxxxxxxx http://lists.kernelnewbies.org/mailman/listinfo/kernelnewbies
