In the near future personal mobile devices will become ingredients of the grid. Foreseeing this, the thesis work aims at leveraging scalable computing techniques to enhance mobile devices so that their interoperability with peers and grid infrastructure will be improved, and their unique resources could be better contributed to the grid. A middleware framework named Personal Augmented Computing Environment (PACE) is proposed, the research progress is reported, and future plan is introduced. The main contributions include 1) investigation of collaborative visualization using display clusters composed by mobile devices, 2) exploration of contextaware methods for mobile devices to achieve efficient utilization of peer and grid resources, and 3) development of novel scalable human-computer interaction techniques through seamless integration of mobile devices and environmental infrastructures.