http://www.anandtech.com/show/10831/amd-sc16-rocm-13-released-boltzmann-realized?_ga=1.109822469.1049115754.1472464840

@+
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AMD has made good progress on the HIP front as well. HIP itself as it 1.0, and to demonstrate their progress, AMD is touting how easy it was to port the CAFFE deep learning framework from CUDA to HIP. Using the HIPify Tools for automatic conversion, AMD was able to translate 99.6% of the code automatically. This is admittedly less than 100% – AMD has been upfront before that they may always be playing catch-up and won’t necessarily be able to replicate NVIDIA driver features 1-for-1 – but it’s significant progress. Ultimately AMD was able to finish the feature-complete port in less than 4 days for a 55K line project

To be a beta version, it's great...

It's moved from dev to beta but it's likely that porting from CUDA to OpenCL/GL/HIP/CAFFE... will always result in some performance loss; NV design their GPU's to run CUDA while AMD are coding to make their GPU's compatible/porting via a toolkit from CUDA into their code to utilize their non-CUDA GPU designs.

CUDA is also in continuous development, so when trying to emulate CUDA, AMD will always be playing catch up.

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FAQ's

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- Opt out of Beta Tests
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CUDA is also in continuous development, so when trying to emulate CUDA, AMD will always be playing catch up.

The solution is to write an opencl native app for gpugrid :-P

CUDA is also in continuous development, so when trying to emulate CUDA, AMD will always be playing catch up.

The solution is to write an opencl native app for gpugrid :-P

+1
AMD Vega ante portas...

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I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

https://developer.amd.com/wordpress/media/2012/09/7637-HIP-Datasheet-V1_4-US-Letter.pdf

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https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP

@+
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It's moved from dev to beta but it's likely that porting from CUDA to OpenCL/GL/HIP/CAFFE... will always result in some performance loss; NV design their GPU's to run CUDA while AMD are coding to make their GPU's compatible/porting via a toolkit from CUDA into their code to utilize their non-CUDA GPU designs.

CUDA is also in continuous development, so when trying to emulate CUDA, AMD will always be playing catch up.

It may be slower to emulate something but you would be gaining the potential power of all the AMD cards.

At present there are a lot of people attached, not much work & POEM has ended. There isn't enough work to go around, and there are significant download problems. Developing a new app isn't the priority. New experiments + fixing the download problems (if possible) are the priorities. After that might be honing the existing app, project management and publications.

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FAQ's

HOW TO:
- Opt out of Beta Tests
- Ask for Help