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YaNoC: Yet Another Network-on-Chip Simulation Acceleration Engine Using FPGAs

机译:YaNoC:另一个使用FPGA的片上网络仿真加速引擎

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In this paper, we present an FPGA based NoC simulation framework, YaNoC, that supports the creation of standard and custom topologies, design of routing algorithms, generation of various synthetic traffic patterns, and exploration of a full set of microarchitectural parameters. The framework supports all standard minimal routing algorithms for conventional NoCs and implements table based routing to support the creation of new routing algorithm. A custom topology called Diagonal Mesh (DMesh) has been evaluated using table based and a modified version of the XY routing algorithm. Mesh and DMesh topologies saturate at the injection rates of 45 % and 55 %. We find that the Table based routing implementation consumes 0.98× fewer hardware resources than the conventional XY routing. We observed the speedup of 2548× compared to the Booksim software simulator. YaNoC achieves speedup of 2.54× and 25× with respect to CONNECT and DART FPGA based NoC simulators.
机译:在本文中,我们提出了一个基于FPGA的NoC仿真框架YaNoC,该框架支持标准和自定义拓扑的创建,路由算法的设计,各种综合流量模式的生成以及一组完整的微体系结构参数的探索。该框架支持常规NoC的所有标准最小路由算法,并实现基于表的路由以支持新路由算法的创建。使用基于表格和XY路由算法的修改版,对一种称为对角网格(DMesh)的自定义拓扑进行了评估。 Mesh和DMesh拓扑在注入率分别为45 \%和55 \%时会饱和。我们发现,与传统的XY路由相比,基于表的路由实现消耗的硬件资源减少了0.98倍。与Booksim软件模拟器相比,我们观察到了2548倍的加速。与基于CONNECT和DART FPGA的NoC模拟器相比,YaNoC的速度提高了2.54倍和25倍。

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