Abstract
The parallel computation is a wildly used technology in many researches. As a system project, the Computer Supported Collaborative Work (CSCW) system also can adopts parallel computation to accelerate the system's performance and device usage. The Web cluster is chosen to realize the parallel computation which is the easiest and most available method to construct the parallel system. In order to improve the system's performance, a new scheduling algorithm named ASAS is involved: meanwhile the GPU is also used as another co-processor based on CUDA. Through the evaluation, we conclude that the web cluster binding CUDA is suitable and efficient in CSCW system.
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