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  3. 非对称稠密矩阵线性方程组高效求解
OpenAtomGeneral MLIntermediateRegistration unverified

非对称稠密矩阵线性方程组高效求解

A intermediate general ml competition requiring roughly 12–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–40 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合有数值线性代数和高性能计算背景的开发者,尤其是能用 Fortran、C 或 C++ 实现求解器,并为其提供 Fortran 90 接口的人。参赛者还需能在 Windows 单机环境、兼容 Visual Studio 2019 与 Intel oneAPI Toolkits 的框架下交付源码和测试材料。

Read the original official blurb
本赛题旨在提升FrSmart软件在进行水力压裂数值模拟时的线性方程组求解速度。 FrSmart是中石油自主研发的压裂软件,使用位移不连续法计算压裂过程中的岩石变形,形成包含非对称稠密矩阵的线性方程组。 Official category: 实战竞技赛. Organizers: 中国石油天然气股份有限公司勘探开发研究院. Participants: 199.

Preparation

From registration to a first submission

  1. 01

    非对称稠密线性方程组

  2. 02

    Fortran 90 接口

  3. 03

    C/C++ 或 Fortran 编程

  4. 04

    Windows 与 Visual Studio 2019 编译

  5. 05

    Intel oneAPI Toolkits

  6. 06

    性能优化与数值残差验证

Before you commit: 难点不只是求解单个稠密矩阵:水力裂缝会随时间扩展,矩阵阶数持续增大,作品需要压缩一系列线性方程组的总体求解时间,并利用前续时间步对应前导子矩阵不变的结构。评测含未公开的黑盒算例,同时限制使用 AVX-512 和 Tensor Core;提交代码还必须能在指定 Windows 工具链中编译运行。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Sep 4, 2023

Entry assessment

est.
48

Prepare before joining

Overall fit estimate

Beginner fit48/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Sep 4, 2023
Source created
Sep 4, 2023
Published on this site
Jul 21, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.