This week we bring everyone a talk we from CMSoft had with ITA students, the brazilian Instituto Tecnológico de Aeronáutica, one of the most important engineering schools in Brazil.
We discussed trends in Artificial Intelligence research, especially regarding current research and how parallel processing can be used in this field.
We had ITABits and ITAndroids audience, and covered the following aspects:
- Motivation: how do we learn? - Personal background - Quiz: what do we know? - Some real AI problems - Current AI research - Importance of Machine Learning - Parallel processing: a world of opportunities - Conclusion
NVidia announced a new GPU enabled with dual-chip. In OpenCL, the card should be recognized as two separate devices. Can anyone tell if it works properly as two OpenCL devices? We would like to know - please mail us if you have tested this.
From Khronos Group:
"NVIDIA announces the dual-chip GeForce GTX 690, powered by two Kepler-generation GK104 graphics processors. With the help of 3072 stream processors, the device is set to establish new performance records. The card supportsOpenGL 4.2, OpenCL 1.2 and DirectX 11.1. "
Update:
We have received feedback from NVidia GPU users that the dual-GPU cards are properly recognized as two devices and can be used for computing purposes. Thanks Miklos Nyers for confirming this.
Stay tuned for upcoming AMD OpenCL webinars. These videos are quite instructive and they provide a manufacturer's standpoint to build parallel applications using OpenCL.
If it gets technical beyond the point of memory model and shared memory, you can just skip past the overtechnicality :)
If you haven't checked the Stanford (and other) Open Courses at https://www.coursera.org/ , make sure not to miss them. These are great high level courses in many fields.
If you did and are wondering how to use OpenCL to implement codes in the fields of Cryptography, Natural Language Processing (NLP) or Probabilistic Models (PGMs), feel free to post in our forum or send an e-mail and we'll be glad to work some accelerated algorithms toghether.