OpenCL/CUDA/GPU Training that actually speeds things up
35% (124 votes)
Advanced SQL integration for both networks(and other ml method) and data
7% (23 votes)
Grid support (train using multiple computers)
11% (39 votes)
Direct integration with Encog/Encog Workbench and Ninja Trader/MTx/others
14% (49 votes)
More Machine Learning Methods (Decision Trees, Random Forest, etc)
22% (78 votes)
More training methods (i.e. cascade, ant colony, bee hive, etc)
11% (40 votes)
Total votes: 353
Comments
Why are Grid Computing and OpenCL do not share one topic ?
Hello,
i am pretty new at your page. But in my opinion grid computing and GPU computing need parallelizable looping. Therefore it seems, that there is no big difference between those two topics ? I think the first step to make a application usable for GPUs is to give it Grid support. Therefore every "gpu-enabled" application could be grid enabled. But not every "grid-enabled" application can be made "gpuenabled" ?