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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guangwen Yang Qing Wang Yongwei Wu Dazheng Huang |
| Copyright Year | 2004 |
| Description | Author affiliation: Tsinghua Univ., Beijing, China (Guangwen Yang; Qing Wang; Yongwei Wu; Dazheng Huang) |
| Abstract | A new fine-grained parallel programming model - Thin Kernel model is brought forth. In this model, the partitions of the parallel tasks are separated from the computational kernel of the problem. The Thin Kernel model produces parallel tasks dynamically at runtime when the tasks are being scheduled which makes the task assignment method in the Thin Kernel model real and distributed. The Thin Kernel model uses dynamic class loading and on-demand code transport. The collaboration of these technologies paves the way for large-scale parallel computing over wide-area networks. |
| Sponsorship | IEEE Comput. Soc. Tech. Steering Committee for Services Comput. (TSC-SC) |
| Starting Page | 613 |
| Ending Page | 616 |
| File Size | 239708 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769522254 |
| DOI | 10.1109/SCC.2004.1358076 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parallel programming Grid computing Kernel Concurrent computing Runtime Processor scheduling Dynamic scheduling Collaboration Large-scale systems Parallel processing |
| Content Type | Text |
| Resource Type | Article |
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