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Stream Oriented Modular Architecture with Polymorphic Processing Engines

机译:具有多态处理引擎的面向流的模块化体系结构

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Stream computing has shown to be an effective technique to decouple communication from computation in many application domains. It provides an efficient mitigation of bandwidth restrictions, by reducing the amount of memory accesses and by maximizing the available computational resources, potentiating the parallel processing using multiple execution engines. However, it frequently implies significant development costs, since efficient stream-based architectures are usually attained through application-specific full-custom processors, often tightened to the application at hand. To circumvent this limitation, a modular stream computing architecture aiming generic and high performance applications is presented. The proposed architecture, designed for reconfigurable hardware, is composed of modular processing engines that can be customized by the end-user in many ways, such as in terms of their number, type and precision of the functional units. Furthermore, these processing engines are designed as programmable cores, allowing the execution of a wide set of applications using the same configuration. From the conducted evaluation by using a series of benchmark case studies, it was observed that the proposed architecture achieves competitive results when compared with alternative solutions.
机译:在许多应用领域中,流计算已被证明是一种使通信与计算脱钩的有效技术。通过减少内存访问量和最大化可用计算资源,增强使用多个执行引擎的并行处理能力,可以有效缓解带宽限制。但是,由于通常通过特定于应用程序的全定制处理器(通常会紧缩在手头的应用程序)来获得有效的基于流的体系结构,因此这通常意味着巨大的开发成本。为了避免这种限制,提出了一种针对通用和高性能应用程序的模块化流计算架构。为可重配置硬件设计的建议体系结构由模块化处理引擎组成,可以由最终用户以多种方式对其进行自定义,例如在功能单元的数量,类型和精度方面。此外,这些处理引擎被设计为可编程内核,从而允许使用相同的配置执行各种应用程序。通过使用一系列基准案例研究进行的评估,发现与其他解决方案相比,所提出的体系结构可实现竞争性结果。

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