Personally I see a killer application of (clusters of) parallella boards in machine perception for e.g. robotics and information retrieval/websearch. When I ta

Personally I see a killer application of (clusters of) parallella boards in machine perception for e.g. robotics and information retrieval/websearch. When I talk about Machine perception it could, for instance, refer to advanced visual object detection, recognition and tracking combined with pattern recognition on other sensory modalities such audio and haptics. To make high computing power portable, as could be needed for machine perception applications in robotics, high power efficiency is needed. This is something the Parallella is aiming for. Machine perception algorithms using "brain-like" computation structures are not only highly parallel by nature but also need fast access to memory. Instead of having a thin pipe to a central memory, it needs to be distributed, build close to/in to the computation cores. The long-term vision of Parallella’s Epiphany multi-core processors indicate a 1000 cores per processor, with 128KB memory per core by 2014 a possibility(!) This is exactly the order of parallelism and distributed memory Machine perception applications need.