Suiqingying Github Suiqingying has 16 repositories available. follow their code on github. 为了方便阅读，我将 prj5 版本的内核分为核心层、驱动层和架构相关层。 合理的目录结构是减少 bug 的第一步。 操作系统的入口，main.c 所在地。 调度 (sched), 内存 (mm), 系统调用 (syscall)。 printk 是神器，多打 log 比 gdb 有时候更管用。 注意指针运算！ c 语言指针 1 是加一个类型的大小，不是加 1 字节。 看寄存器状态，scause 和 sepc 是定位 trap 的关键。 环境配置是最难的一步，配好环境就成功了一半。 不要抄代码，理解原理最重要，答辩会问细节。 遇到 bug 睡一觉，第二天往往就有思路了。.
About Me Yiqing S Home Page Ucas 操作系统研讨课 (oslab) 实验代码与笔记。 基于 risc v 架构从零实现 unix like 内核 (bootloader, memory, schedule, filesystem)。 implementation of risc v os kernel for ucas operating system lab." suiqingying ucas oslab kernel. Contribute to suiqingying semantic encoding brain development by creating an account on github. Contribute to suiqingying theoretical computer science homework development by creating an account on github. Contribute to sui ying seg anything development by creating an account on github.
Suilling Github Contribute to suiqingying theoretical computer science homework development by creating an account on github. Contribute to sui ying seg anything development by creating an account on github. Contribute to suiqingying semantic encoding brain development by creating an account on github. My research areas include data visualization (dv) and human computer interaction (hci). when i was a freshman, i joined in zufe vig, supervised by prof. zhiguang zhou, to learn visualization. in three years, i worked on four visualization projects. I’m interested in transportation data science, urban systems, share transportation mode and data visuallization. here is my page: ni1o1.github.io. Our work evaluates the impact of model transport error for the accuracy of methane source inversions and develop new inversion formalisms for improved identifications of missing greenhouse gas sources from space.
Soujing Github Contribute to suiqingying semantic encoding brain development by creating an account on github. My research areas include data visualization (dv) and human computer interaction (hci). when i was a freshman, i joined in zufe vig, supervised by prof. zhiguang zhou, to learn visualization. in three years, i worked on four visualization projects. I’m interested in transportation data science, urban systems, share transportation mode and data visuallization. here is my page: ni1o1.github.io. Our work evaluates the impact of model transport error for the accuracy of methane source inversions and develop new inversion formalisms for improved identifications of missing greenhouse gas sources from space.
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