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Dynamic SMP clusters with communication on the fly in NoC technology for very fine grain computations

机译:动态SMP集群与沟通的通信,NoC技术为非常细粒度计算

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The paper presents a new architecture for systems based on run-time reconfigured shared memory processor clusters meant for implementation using network on chip technology. Clusters constitute local data exchange sub-networks, which dynamically connect processors with shared memory modules. The sub-networks enable exposure of data from one processor's data cache for reading by other processors to their data caches. This inter-processor data exchange paradigm, called "communication on the fly", enables direct communication between processor data caches. Dual-ported data caches are assumed to enable parallel reading and writing data between the caches and memory modules. In the proposed architecture, programs are executed according to a cache-controlled macro data flow execution model. Computational tasks are so defined, as to eliminate re-loading of data caches during task execution. A special program macro-data flow graph representation enables modeling of program behaviour for different architectural and program structure assumptions. Simulation results of symbolic execution of program graphs of matrix multiplication are presented in the paper. They show suitability of the proposed architecture for very fine grain parallel computations.
机译:本文提出了一种基于运行时间重新配置共享内存处理器集群的系统的新架构,用于使用芯片技术的网络实现。群集构成本地数据交换子网,其动态连接具有共享内存模块的处理器。子网络使得从一个处理器的数据缓存中曝光​​数据,以便被其他处理器读取其数据缓存。这种处理器间数据交换范例,称为“飞行”的“通信”,可以在处理器数据高速缓存之间进行直接通信。假设双端口数据缓存以在缓存和内存模块之间启用并行读取和写入数据。在所提出的架构中,根据高速缓存控制的宏数据流执行模型执行程序。如此定义了计算任务,以消除任务执行期间数据缓存的重新加载。特殊程序宏 - 数据流图表示,可以为不同的架构和程序结构假设建模程序行为。纸张中介绍了矩阵乘法节目图的象征性仿真结果。它们显示了拟议架构的适用性,以获得非常精细的谷物并行计算。

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