异构多核asic并行机Anton的仿真与嵌入式软件开发

J. P. Grossman, C. Young, Joseph A. Bank, Kenneth M. Mackenzie, D. Ierardi, J. Salmon, R. Dror, D. Shaw
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引用次数: 7

摘要

Anton是目前正在建设中的专用并行机器,是一个重要的硬件软件协同设计工作的结果,它严重依赖于一个架构模拟器。该模拟器的许多重要作用之一是支持嵌入式软件(在安东的asic上运行的软件)的开发,这有几个原因具有挑战性。首先,安东ASIC是一种异构多核单片系统,具有三种类型的嵌入式内核,与专用硬件单元紧密耦合。其次,标准的512-ASIC配置包含总共6,656个不同的嵌入式核心,所有这些核心都必须在模拟器中显式建模。第三,在仿真时动态生成部分嵌入式软件。本文讨论了Anton模拟器解决这些挑战的各种方法。我们使用硬件抽象层,该层允许编译嵌入式软件源代码,而无需为模拟主机或硬件目标进行修改。我们报告了在模拟器中嵌入金模型测试台以验证嵌入式软件运行时的有效性。我们还描述了动态生成嵌入式软件的软硬件协同仿真策略。最后,我们使用一种称为并发混合级仿真的方法来模拟大规模并行系统中的嵌入式内核。这些技术使安东模拟器成为嵌入式软件开发的有效平台。
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Simulation and embedded software development for Anton, a parallel machine with heterogeneous multicore ASICs
Anton, a special-purpose parallel machine currently under construction, is the result of a significant hardware-software codesign effort that relied heavily on an architectural simulator. One of this simulator's many important roles is to support the development of embedded software (software that runs on Anton's ASICs), which is challenging for several reasons. First, the Anton ASIC is a heterogeneous multicore system-on-a-chip, with three types of embedded cores tightly coupled to special-purpose hardware units. Second, a standard 512-ASIC configuration contains a total of 6,656 distinct embedded cores, all of which must be explicitly modeled within the simulator. Third, a portion of the embedded software is dynamically generated at simulation time. This paper discusses the various ways in which the Anton simulator addresses these challenges. We use a hardware abstraction layer that allows embedded software source code to be compiled without modification for either the simulation host or the hardware target. We report on the effectiveness of embedding golden-model testbenches within the simulator to verify embedded software as it runs. We also describe our hardware-software cosimulation strategy for dynamically generated embedded software. Finally, we use a methodology that we refer to as concurrent mixed-level simulation to model embedded cores within massively parallel systems. These techniques allow the Anton simulator to serve as an efficient platform for embedded software development.
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