This article presents Egeria, the first automatic synthesizer of advising tools for High-Performance Computing (HPC). When one provides it with some HPC programming guides as inputs, Egeria automatically constructs a text retrieval tool that can advise on what to do to improve the performance of a given program. The advising tool provides a concise list of essential rules automatically extracted from the documents and can retrieve relevant optimization knowledge for optimization questions. Egeria is built based on a distinctive multi-layered design that leverages natural language processing (NLP) techniques and extends them with HPC-specific knowledge and considerations. This article presents the design, implementation, and both quantitative and qualitative evaluation results of Egeria.

中文翻译：

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高性能计算建议工具的自动合成器

本文介绍了 Egeria，这是第一个为高性能计算 (HPC) 提供建议工具的自动合成器。当有人为其提供一些 HPC 编程指南作为输入时，Egeria 会自动构建一个文本检索工具，该工具可以就如何提高给定程序的性能提出建议。建议工具提供从文档中自动提取的基本规则的简明列表，并可以检索优化问题的相关优化知识。Egeria 基于独特的多层设计而构建，该设计利用自然语言处理 (NLP) 技术并通过 HPC 特定的知识和注意事项对其进行扩展。本文介绍了 Egeria 的设计、实现以及定量和定性评估结果。