Benchmark pre-computing `weights2d`, `weights3d`

描述

贡献者指南

技术栈

无

领域

performancebackend

议题类型

feature

难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。

3

预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。

1-2 days

活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。

stale

清晰度议题是否清楚说明期望改动、验收标准和下一步。

mostly clear

前置要求

Julia programmingTrixi.jl cache internals

新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。

20

研究方向

Start by reviewing the linked PR #274 discussion, especially the comment by @gregorgassner. Examine the current implementation of `weights2d` and `weights3d` in the source code to understand how they are computed. Then, explore the semidiscretization cache structure to identify where to add these precomputed weights. The goal is to benchmark the performance improvement of caching these weights versus computing them on the fly. Consider writing a small script to test both approaches.