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MEDEA: A Hybrid Shared-memory/Message-passing Multiprocessor NoC-based Architecture

机译:MEDEA:一种基于共享内存/消息传递多处理器NoC的混合体系结构

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摘要

The shared-memory model has been adopted, both for data exchange as well as synchronization using semaphores in almost every on-chip multiprocessor implementation, ranging from general purpose chip multiprocessors (CMPs) to domain specific multi-core graphics processing units (GPUs). Low-latency synchronization is desirable but is hard to achieve in practice due to the memory hierarchy. On the contrary, an explicit exchange of synchronization tokens among the processing elements through dedicated on-chip links would be beneficial for the overall system performance. In this paper we propose the Medea NoC-based framework, a hybrid shared-memory/message-passing approach. Medea has been modeled with a fast, cycle-accurate SystemC implementation enabling a fast system exploration varying several parameters like number and types of cores, cache size and policy and NoC features. In addition, every SystemC block has its RTL counterpart for physical implementation on FPGAs and ASICs. A parallel version of the Jacobi algorithm has been used as a test application to validate the metodology. Results confirm expectations about performance and effectiveness of system exploration and design
机译:在几乎所有的片上多处理器实现中,从通用芯片多处理器(CMP)到特定领域的多核图形处理单元(GPU),都采用共享内存模型进行数据交换和使用信号量的同步。低延迟同步是理想的,但由于内存层次结构,在实践中很难实现。相反,通过专用的片上链路在处理元件之间进行显式的同步令牌交换将有利于整体系统性能。在本文中,我们提出了基于Medea NoC的框架,一种混合​​的共享内存/消息传递方法。 Medea已建模为具有快速,周期精确的SystemC实施,可快速进行系统探索,更改了多个参数,例如内核的数量和类型,缓存大小和策略以及NoC功能。此外,每个SystemC块都有其RTL副本,可在FPGA和ASIC上进行物理实现。 Jacobi算法的并行版本已用作测试应用程序以验证气象学。结果证实了对系统探索和设计的性能和有效性的期望

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