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Model-Based Hardware-Software Codesign of ECT Digital Processing Unit

机译:基于模型的硬件 - 软件电子软件代码数字处理单元

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Image reconstruction algorithm and its controller constitute the main modules of the electrical capacitance tomography (ECT) system; in order to achieve the trade-off between the attainable performance and the flexibility of the image reconstruction and control design of the ECT system, hardware-software codesign of a digital processing unit (DPU) targeting FPGA system-on-chip (SoC) is presented. Design and implementation of software and hardware components of the ECT-DPU and their integration and verification based on the model-based design (MBD) paradigm are proposed. The inner-product of large vectors constitutes the core of the majority of these ECT image reconstruction algorithms. Full parallel implementation of large vector multiplication on FPGA consumes a huge number of resources and incurs long combinational path delay. The proposed MBD of the ECT-DPU tackles this problem by crafting a parametric segmented parallel inner-product architecture so as to work as the shared hardware core unit for the parallel matrix multiplication in the image reconstruction and control of the ECT system. This allowed the parameterized core unit to be configured at system-level to tackle large matrices with the segment length working as a design degree of freedom. It allows the trade-off between performance and resource usage and determines the level of computation parallelism. Using MBD with the proposed segmented architecture, the system design can be flexibly tailored to the designer specifications to fulfill the required performance while meeting the resources constraint. In the linear-back projection image reconstruction algorithm, the segmentation scheme has exhibited high resource saving of 43% and 71% for a small degradation in a frame rate of 3% and 14%, respectively.
机译:图像重建算法及其控制器构成电容断层扫描(ECT)系统的主模块;为了实现可达到的性能与ICT系统的图像重建和控制设计之间的折衷和控制设计,瞄准FPGA系统(SOC)的数字处理单元(DPU)的硬件 - 软件代码提出了。建议设计和实现ECT-DPU的软件和硬件组件及其基于基于模型的设计(MBD)范式的集成和验证。大型载体的内部产物构成了大多数这些ECT图像重建算法的核心。 FPGA上大型矢量乘法的全平实施消耗了大量资源,并引发了长组合路径延迟。所提出的ECT-DPU的MBD通过制备参数分段的并行内部产品架构来解决该问题,以便用作用于图像重建中的并联矩阵乘法的共享硬件核心单元和ECT系统的控制。这允许参数化的核心单元在系统级配置,以解决具有作为自由设计程度的段长度的大矩阵。它允许在性能和资源使用之间进行权衡,并确定计算并行程度。使用MBD与提出的分段架构,系统设计可以灵活地定制到设计人员规范,以满足资源约束的同时满足所需的性能。在线性后退投影图像重建算法中,分割方案分别表现出高资源节省43%和71%,其帧速率分别为3%和14%的帧速率。

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