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In this study, we have successfully developed a grid-enabled software distributed shared memory called Teamster-G. This system provides users with not only a shared memory programming interface but also a transparent resource allocation service to easily develop applications and aggregate distributed resources for solving their problems on the grid environment. Moreover, since the communication cost of maintaining data-consistency is a big problem for the performance of the DSM applications, Teamster-G exploits a cluster cache scheme and a two-level consistency protocol to minimize the number of data-consistency messages transferred over wide area network. We will present the framework and the performance of Teamster-G in this paper.