论文 "利用并行离散事件模拟对基于自旋电子的尖峰神经网络进行性能评估 "的再现性报告

Pub Date : 2024-07-24 DOI:10.1145/3680283

Andreas Ruscheinski

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引用次数: 0

摘要

这篇论文介绍了 Doryta，一个以 ROSS 模型实现的尖峰神经网络（SNN）模拟器。该软件作为论文补充材料的一部分，可通过期刊网站访问。该软件文档齐全，提供了 Dorytra 模拟器的源代码和重现图中结果所需的脚本，从而提高了论文的整体质量。通过使用脚本，我们重现了论文中的所有主要结果。因此，该论文符合 "可利用的人工制品"、"经评估的人工制品--可重复使用 "和 "经验证的人工制品--结果再现 "徽章的要求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Reproducibility Report for the Paper "Performance Evaluation of Spintronic-Based Spiking Neural Networks Using Parallel Discrete-Event Simulation"

The examined paper introduces Doryta , a simulator for Spiking Neural Networks (SNN) implemented as a ROSS model. The software artifact is available as part of the paper’s supplemental material and can be accessed via the journal’s website. It is well documented and enhances the overall quality of the paper by providing access to the source code of the Dorytra simulator and necessary scripts to reproduce the results shown in the figure. Using the script, we reproduced all major results presented in the paper. Thus, the paper qualifies for the Artifact Available , the Artifact Evaluated - Reusable , and the Artifact Validated - Results Reproduced badges.

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