Octantis: An Exploration Tool for Beyond von Neumann architectures

Andrea Marchesin, G. Turvani, A. Coluccio, F. Riente, M. Vacca, Massimo Ruo Roch, M. Graziano, M. Zamboni
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Abstract

Nowadays, the modern electronic systems are facing an important limitation in terms of performance, known as von Neumann bottleneck. It affects the communications between two crucial elements, the CPU and the memory, which suffer from a saturation in bandwidth. Many solutions are currently under investigation and among them the concept of Logic-in-Memory (LiM) has been introduced: a memory enriched in its array of computational elements which enable the implementation of a flexible distributed processing system. The current work introduces Octantis, a High-Level Synthesizer useful for the exploration of LiM architectures. The proposed software analyzes an input algorithm described in standard C language and identifies which LiM architecture would implement it better. At its output, the synthesized solution is provided together with a test-bench, to properly characterize it, in terms of performance, spatial occupation and power consumption. Many algorithms have been successfully synthesized by Octantis and some of the results achieved will be discussed along the document.
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Octantis:超越冯·诺伊曼架构的探索工具
如今,现代电子系统在性能方面面临着一个重要的限制,即冯·诺依曼瓶颈。它影响两个关键元素之间的通信,CPU和内存,这两个元素受到带宽饱和的影响。目前正在研究许多解决方案,其中引入了逻辑内存(LiM)的概念:一种丰富了其计算元素阵列的内存,可以实现灵活的分布式处理系统。当前的工作介绍了Octantis,一个用于探索LiM体系结构的高级合成器。该软件分析了用标准C语言描述的输入算法,并确定了哪种LiM架构能更好地实现该算法。在其输出时,提供了合成溶液和测试台,以便在性能,空间占用和功耗方面对其进行适当的表征。Octantis已经成功地合成了许多算法,其中一些结果将在本文中讨论。
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