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3D FPGA resource management and fragmentation metric for hardware multitasking

机译:硬件多任务处理的3D FPGA资源管理和分段度量

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This research work presents a novel proposal to get hardware multitasking in 3D FPGAs. Such architectures are still academic, but recent advances in 3D IC technologies allow foreseeing true 3D FPGAs in the near future. Starting from models for the 3D FPGA and for the tasks, an efficient technique for managing the 3D reconfigurable resources is proposed. This technique is based on a vertex-list structure in order to maintain information about the free space available on the FPGA at a given time moment. Moreover, a novel 3D fragmentation metric, based on cubeness of the free FPGA volume, is explained. And finally, several vertex-selection heuristics, a simpler one based on space adjacency and a more complex one based on space and time adjacency, are explained and their performance compared by some experiments.
机译:这项研究工作提出了一种新颖的建议,以在3D FPGA中获得硬件多任务处理。这样的架构仍然是学术性的,但是3D IC技术的最新进展使得可以在不久的将来预见到真正的3D FPGA。从用于3D FPGA的模型和用于任务的模型开始,提出了一种用于管理3D可重配置资源的有效技术。该技术基于顶点列表结构,以便维护有关给定时刻FPGA上可用的可用空间的信息。此外,说明了基于免费FPGA体积的立方体性的新颖3D碎片度量。最后,解释了几种顶点选择启发式算法,一种是基于空间邻接的简单选择,另一种是基于空间和时间邻接的复杂选择,并通过一些实验比较了它们的性能。

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