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All semiconductor market domains are converging to concurrent platforms. This trend has certainly led real challenge to develop applications software that effectively uses these concurrent processors to achieve efficiency and performance goals. This paper argues that the Computer System related courses are natural places to introduce the parallelism, and the earlier to parallel computing concepts...
Virtualization technology and MapReduce program model are sharp swords for the big data and cloud computing era. The combination of them exhibits powerful ability of easy-management, fast-deployment, feasible-scalability and high-efficiency. However, the downside is that the performance is limited by the I/O bottleneck of Virtual Machine(VM). A huge number of data should be handled in MapReduce cluster...
Providing single system image (SSI) on clusters has ever been one of the hot topics in the research field of parallel computer architecture, since SSI supports easier programming and administration on clusters. Currently, most SSI studies focus on the middleware level of clusters, leading to some problems of poor transparence, low performance and so on. This paper presents a novel solution to provide...
It is an important direction of the development of parallel computer architecture to implement single system image (SSI) on clusters, since SSI supports easier programming and administration on clusters. Currently, most SSI studies focused on the middleware level of clusters, leading to some problems of poor transparence, low performance and so on. This paper presents a novel solution to provide SSI...
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