Graphics processing units (GPUs) have evolved from fixed graphics pipeline processors into more flexible and powerful data-parallel processors. Their ever-increasing computing power makes them an attractive platform for high performance computing at a low cost. Up to the present, most efforts that exploit GPUs are graphical and scientific applications. Nevertheless, little attention has been paid to harnessing these highly parallel devices to support collaborative work and design. In this paper, we propose a GPU-based framework based on stream computing technology, which aims at providing the computation service more efficiently among the collaborators in the CSCW system. The framework consists of two parts: A CPU-based data service mainly presiding over management and a GPU-based compute service primarily focus on computation.
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