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Virtualization of Computing Resources in RCS for Multi-Task Stream Applications

机译:用于多任务流应用程序的RC计算资源的虚拟化

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The possibility for distribution of FPGA resources in the temporal domain for multi-modal & multi-task workloads conceptually allows virtualization of logic, communication and input/output resources similar to memory virtualization in advanced conventional computers (e.g. superscalar). This, in turn, can dramatically increase the cost-effectiveness of FPGA based Reconfigurable Computing Systems (RCS). In the presented "proof-of-concept" research the following topics have been investigated, developed and tested: i) architecture of a platform to support the dynamic allocation of Application Specific Virtual Processors (ASVP), ii) mechanisms for run-time on-chip assembly of ASVP from Virtual Hardware Components (VHC) and iii) mechanisms for run-time on-chip components (VHC) relocation in predetermined regions of the FPGA device. The above mechanisms have been implemented and tested on a specially developed platform: the Multi-task Adaptive Reconfigurable System (MARS) Platform. The actual application of MARS was prototyping a high-performance multi-mode stereo-vision system (200 fps) for the next generation of space-borne computing platforms.
机译:在概念上概念性地允许与高级传统计算机(例如Superscalar)中的内存虚拟化类似的逻辑,通信和输入/输出资源的虚拟化才能虚拟化逻辑,通信和输入/输出资源的虚拟化。反过来,这可以大大提高基于FPGA的可重新配置计算系统(RCS)的成本效益。在呈现的“概念验证”研究中,已经调查了以下主题,开发和测试:i)平台的架构,以支持运行时间的特定虚拟处理器(ASV),II)机制的动态分配-Chip从虚拟硬件组件(VHC)和III)机制的机制,用于在FPGA设备的预定区域中的运行时片组件(VHC)重定位。在特殊开发的平台上已经实施和测试了上述机制:多任务自适应可重新配置系统(MARS)平台。 MARS的实际应用是对下一代空间计算平台的高性能多模式立体视觉系统(200 FPS)进行了原型设计。

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