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Stochastic Contention Level Simulation for Single-Chip Heterogeneous Multiprocessors

机译:单芯片异构多处理器的随机竞争水平仿真

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摘要

Single-chip systems, featuring multiple heterogeneous processors and a variety of communication and memory architectures, have emerged to satisfy the demand for networking, handheld computing, and other custom devices. When simulated at cycle-accurate level, these system models are slow to build and execute, severely limiting the number of design iterations that can be considered. A key challenge in raising the simulation level above the clock cycle is an effective method for estimating contention for shared resources such as memories and busses. This paper introduces a new level of design called the Stochastic Contention Level (SCL). Instead of considering shared resource accesses at the clock cycle granularity, SCL simulations operate on blocks that are thousands to millions of clock cycles long, stochastically capturing contention for shared resources via sampled access attributes, while still retaining an event-based simulation framework. The SCL approach results in speedups of 40{times} over cycle-accurate simulation, with average simulation errors of less than one percent with 95 percent confidence intervals of about pm 3 {rm percent}, providing a unique combination of simulation capabilities, performance, and accuracy. This significant increase in simulation performance enables the system designers to explore more of the design space than possible with traditional simulation approaches.
机译:已经出现了具有多个异构处理器以及各种通信和内存架构的单芯片系统,以满足对网络,手持计算和其他定制设备的需求。当以周期精确的级别进行仿真时,这些系统模型的构建和执行速度很慢,从而严重限制了可以考虑的设计迭代次数。将仿真级别提高到时钟周期之上的一个关键挑战是一种有效的方法,用于评估共享资源(例如存储器和总线)的竞争。本文介绍了一种新的设计级别,称为随机竞争级别(SCL)。 SCL仿真不是在时钟周期粒度上考虑共享资源访问,而是在数千到数百万个时钟周期长的块上运行,通过采样的访问属性随机地捕获共享资源的争用,同时仍然保留基于事件的仿真框架。 SCL方法可在精确到周期的仿真中提高40 {times},平均仿真误差小于1%,95%的置信区间为pm 3 {rm%},提供了仿真功能,性能,和准确性。仿真性能的显着提高使系统设计人员能够探索比传统仿真方法更多的设计空间。

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