steins gate zero

About Me¶

I like studying computer science through open courses. While having stumbled many times, I’ve learned from mistakes and developed an interest in storages and system programming. I was very fortunate to get an Outreachy 2022 Internship working with QEMU which has embarked my journey of open source world. During the year after the summer project, I added full emulation to the qcow2 driver and made the metadata of ZNS emulation persistent with the help of my mentors in QEMU. My primary objective is to gain a solid understanding of the fundamental principles that underpin our world and the ability to build practical applications in life.

Nowadays I am a software engineer building a Linux kernel module that distributes and replicates data to a block-based storage cluster over RDMA networks.

Slides¶

2024¶

Zoned Emulation Support for QEMU at Linux Plumbers Conference 2024, slides(pdf).

OCW¶

course plan:

• MIT 6-3 computer science and engineering program^[1]
  • 6.00.1x edx
  • 6.042 10 (11)
  • 6.004 17/(21spr)
  • 6.006 10(19fall)
  • 6.031 21spr(16) [selective]
  • 6.046 15
  • 6.033 21spr
  • cs61^[2] 21fall
  • 6.009 21fall^[3]
  • 6.824 20spr^[4]
  • 6.s081 20fall
  • 6.034 10(20fall labs)
  • 6.172 18fall
  • 15-445 24fall
  • 15-441 22fall
  • computer architecture^[5]
  • 6.828 23fall^[6]
• Primer (7)
  • 6.035 22spr
  • 6.858 security 22
  • 6.826
  • 15-721 23spring
  • 6.851 21spr
  • 15-418/cs149
• Interests
  • concurrent programming in rust
  • LSM in a week by Chi
  • Neural Networks: Zero to Hero by Andrej
• Internship plan
  • summer intern
  • ? intern in senior year -> cancelled

Applied Math¶

• 18.01x
• 18.02 sc
• 6.041x edx
• *18.06 11sc
• *18.065 ocw
• 18.310 13 ocw
• 18.03x mitx
• 18.001A

IAP¶

• 6.null missing semester videos 20
• Cs106L videos
• cs110L 20
• 6.170 20fall

Selective¶

• Advanced storage systems: slides and readings mostly
• 6.840 20fall
• 6.805 Foundations of Information Policy
• 6.854 20fall
• EECS665
• 6.905 Large-scale Symbolic Systems 24spr
• 6.790 Machine Learning 24fall
• 10-714 Deep Learning Systems ^[7]
• competitive programming: 15-295 competitive programming 21
• DL in system biology 6.8xx
• molecular biology

HASS¶

• Microeconomics mitx
• Macroeconomics
• justice
• positive psychology
• political science
• the moral foundations of politics
• game theory
• information theory
• Greek history

已弃：

• （对我）过理论的数学课比如数学分析OTL
• 社会科学的书籍zzz
• 生科的任何课尤其是实验
• perfection & procrastination
• 金融学理论
• statistics

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1. Requirements 2017 ↩︎

2. Harvard Systems Programming and Machine Organization Course. Great system programming 101 (21 schedule, 23 lab). 15-213 is also a good choice. ↩︎

3. 19fall materials(tutorials, recitations) ↩︎

4. 22spr labs/schedule & 20spr outline/videos of Robert Morris ↩︎

5. study materials from 6.823 22fall as reading supplements ↩︎

6. current 6.5810 ↩︎

7. supplement reading as 6.7960 deep learning 24fall ↩︎