{"title":"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","authors":"Andreas Ruscheinski","doi":"10.1145/3680283","DOIUrl":null,"url":null,"abstract":"\n The examined paper introduces\n Doryta\n , a simulator for Spiking Neural Networks (SNN) implemented as a ROSS model.\n \n \n 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\n Dorytra\n simulator and necessary scripts to reproduce the results shown in the figure. Using the script, we reproduced all major results presented in the paper.\n \n \n Thus, the paper qualifies for the\n Artifact Available\n , the\n Artifact Evaluated - Reusable\n , and the\n Artifact Validated - Results Reproduced\n badges.\n","PeriodicalId":50943,"journal":{"name":"ACM Transactions on Modeling and Computer Simulation","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reproducibility Report for the Paper \\\"Performance Evaluation of Spintronic-Based Spiking Neural Networks Using Parallel Discrete-Event Simulation\\\"\",\"authors\":\"Andreas Ruscheinski\",\"doi\":\"10.1145/3680283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The examined paper introduces\\n Doryta\\n , a simulator for Spiking Neural Networks (SNN) implemented as a ROSS model.\\n \\n \\n 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\\n Dorytra\\n simulator and necessary scripts to reproduce the results shown in the figure. Using the script, we reproduced all major results presented in the paper.\\n \\n \\n Thus, the paper qualifies for the\\n Artifact Available\\n , the\\n Artifact Evaluated - Reusable\\n , and the\\n Artifact Validated - Results Reproduced\\n badges.\\n\",\"PeriodicalId\":50943,\"journal\":{\"name\":\"ACM Transactions on Modeling and Computer Simulation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2024-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Modeling and Computer Simulation\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3680283\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Modeling and Computer Simulation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3680283","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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.
期刊介绍：
The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods.
The use of simulation techniques is pervasive, extending to virtually all the sciences. TOMACS serves to enhance the understanding, improve the practice, and increase the utilization of computer simulation. Submissions should contribute to the realization of these objectives, and papers treating applications should stress their contributions vis-á-vis these objectives.
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