Designing High Quality, Scaleable SoC??s with Heterogeneous Components

P. Paulin
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Abstract

Today’s SoC’s combine an increasingly wide range of heterogenous processing elements, consisting of general purpose RISC’s, DSP’s, application-specific processors, and fixed or configurable hardware. Five to ten processors on an SoC is now common. A bottom-up assembly of these heterogeneous components using an ad-hoc interconnect topology, different instruction sets and embedded S/W development tools leads to unmanageable complexity and low quality. This talk will present an approach to effectively integrate heterogenous parallel components – H/W or S/W – into a homogeneous programming environment. This leads to higher quality designs through encapsulation and abstraction. This approach, supported by ST’s MultiFlex multi-processing SoC tools, allows for the combination of a range of heterogeneous processing elements, supported by high-level programming models. Two programming models are supported: a distributed system object component (DSOC) message passing model, and a symmetrical multi-processing (SMP) model using shared memory. We present the results of mapping an Internet traffic management application, running at 2.5Gb/s. We demonstrate the combined use of the MultiFlex multi-processor compilation tools, supported by high-speed hardware-assisted messaging, context-switching and dynamic task allocation in the StepNP platform.
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设计高质量、可扩展的SoC?异构组件
今天的SoC结合了越来越广泛的异构处理元素,包括通用RISC, DSP,专用处理器以及固定或可配置的硬件。一个SoC上有5到10个处理器现在很常见。这些异构组件的自底向上组装使用特别的互连拓扑、不同的指令集和嵌入式S/W开发工具,导致难以管理的复杂性和低质量。本演讲将介绍一种有效地将异构并行组件(H/W或S/W)集成到同构编程环境中的方法。这将通过封装和抽象导致更高质量的设计。这种方法由意法半导体的MultiFlex多处理SoC工具支持,允许一系列异构处理元素的组合,由高级编程模型支持。它支持两种编程模型:分布式系统对象组件(DSOC)消息传递模型和使用共享内存的对称多处理(SMP)模型。我们展示了一个以2.5Gb/s速度运行的互联网流量管理应用程序的映射结果。我们演示了MultiFlex多处理器编译工具的组合使用,该工具由StepNP平台中的高速硬件辅助消息传递、上下文切换和动态任务分配支持。
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