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During the Google IO event, two new great features of the popular Android OS were announced. The most important from a robotics point of view is the Android Open Accessory standard that is Arduino based and enables Android devices to integrate with hardware via usb (or bluetooth in the near future). You can read more in the posts on engadget.com and robots-dreams.com (where the video is from). Also engadget reports on the Android @ Home framework that aspires to interconnect every home appliance, device or gadget to an integrated network. More information and details will be announced soon from Google but already the potential for various robotic applications that could take advantage of these projects looks promising.

The first textbook of its kind, Programming Massively Parallel Processors: A Hands-on Approach launches today, authored by Dr. David B. Kirk, NVIDIA Fellow and former chief scientist, and Dr. Wen-mei Hwu, who serves at the University of Illinois at Urbana-Champaign as Chair of Electrical and Computer Engineering in the Coordinated Science Laboratory, co-director of the Universal Parallel Computing Research Center and principal investigator of the CUDA Center of Excellence. The textbook, which is 256 pages, is the first aimed at teaching advanced students and professionals the basic concepts of parallel programming and GPU architectures. Published by Morgan Kaufmann, it explores various techniques for constructing parallel programs and reviews numerous case studies. With conventional CPU-based computing no longer scaling in performance and the world’s computational challenges increasing in complexity, the need for massively parallel processing has never been greater. GPUs have hundreds of cores capable of delivering transformative performance increases across a wide range of computational challenges. The rise of these multi-core architectures has raised the need to teach advanced programmers a new and essential skill: how to program massively parallel processors.