scisprint Hsinchu 2024 September 將於臺灣時區 2024 年 9 月 7 日 10:00 - 17:00 舉行。
The sprint event will be held on 10:00 - 17:00, 7th September, 2024 (GMT+8).
關於 scisprint / About scisprint
sciwork 是由一群對高效能運算、科學數值運算與開源專案有興趣的學者同好與工程師組成的社群。在高效能與科學運算的領域中，科學與軟體工程的整合是很重要的環節。然而，無論是已經有相關經驗的專業人士或是剛剛踏入這個領域的新鮮人，鮮少有機會可以讓彼此交流經驗。因此，我們每個月舉辦 scisprint，透過實體面對面的軟體協作開發 ，促成相關領域的人一起討論交流，降低進入門檻同時建立活絡的社群。
sciwork 社群在多次舉辦 scisprint 的經驗中，吸引來自不同背景的軟體開發者、科研學術工作者與校園新鮮人。無論是已經有開發經驗的開發者，或是剛剛開始學習相關知識的新鮮人，都能得到第一手的開發經驗並擁有貢獻開源專案的經驗。
過往活動紀錄可於 sciwork 官網 https://sciwork.dev/ 查看。
scisprint, hosted by the sciwork community, is a monthly coding sprint. It would like to facilitate discussions and exchanges among people in the fields of science, numerical computation, and engineering. Participants, regardless of experience level, can gain valuable development insights in this event.
We would like to provide a supportive and friendly environment for all attendees to support more developers to join in the open-source communities.
You can find our past event records on the sciwork website at https://sciwork.dev/.
活動流程 / Agenda
| 時間 / Time | 時長 / Duration |
活動流程 / Agenda |
| 10:00 -10:30 | 30 mins | 報到（確認報名資訊）| Check-in |
| 10:30 -11:00 | 30 mins | 專案介紹 | Project introduction |
| 11:00 -12:00 | 60 mins | Coding session 1 |
| 12:00 -13:30 | 90 mins |
午餐時間 & 小組討論 1 |
Lunch Break & Group Discussion 1
|
| 13:30 -14:20 | 50 mins | Coding session 2 |
| 14:20 -14:30 | 10 mins | 小組討論 2 | Group Discussion 2 |
| 14:30 -15:20 | 50 mins | Coding session 3 |
| 15:20 -15:30 | 10 mins | 小組討論 3 | Group Discussion 3 |
| 15:30 -16:30 | 60 mins | 最後衝刺 | Final sprint |
| 16:30 -17:00 | 30 mins | 活動進度分享 | Closing |
專案開發 / Hacking Session
透過參與專案，您將得更多開發者之間的合作和互動。專案領域包含但不限於科學、數值和工程領域，也歡迎你帶上你的專案一起來交流。詳細專案資訊請查看下方【專案介紹】，可以在聯絡方式找到 Discord 邀請連結加入討論。
It aims to encourage collaboration and interaction among developers through project participation. The projects cover various fields, including but not limited to science, numerical computation, and engineering. You are also encouraged to share your own projects in scisprint. Refer to project list below for more details.
專案列表 / Project list
-
modmesh
Toolkit for solving partial differential equations and visulizing the numerical results. modmesh seamlessly mixes C++ and Python through pybind11, using Qt and Python to visualize the computation results to give you a better understanding of your PDE solution- Related subjects: Python, C++, PDE
- Project Contact: Yung-Yu Chen (discord: @yyc#7718), Chun-Hsu (@Chun-Hsu#6296)
- Project link: Github
-
uTensor
uTensor is an extremely lightweight machine learning inference framework built on C++11. It simplifies model deployment by seamlessly converting TensorFlow-trained models into efficient C++ files that can be used to infer on the embedding device and integrate with optimized libraries such as CMSIS-NN by ARM with ease.- Project link: Github
- Project Contact: Dboy(discord: @dboyliao#1295)
-
sciwork portal
sciwork portal is a project for maintaining our official website – sciwork.dev, which was built by Pelican with tailwindCSS, and deployed by Netlify. We have always been actively trying to provide users a better web browsing experience, including information presentation and visual experience. Welcome to join us if you are interested in website development.- Project link: Github
- Project Contact: Chester (discord: @chester), Wuxian (discord: @5x9527), Steve Chen (discord: @Steve Chen)
-
pyLiteracy
Mandarin grammar parser based on syntactical context. By analyzing and simplifying the structures of correct usages into code instructions, provide a linguistics-based model to accomplish efficient Mandarin grammar checking tasks with minimal resources.- Related subjects: Python, Linguistic
- Project Contact: Jonathan Chen (discord: @陳畯田), PeterWolf (discord: @PeterWolf#1422)
- Project link: Github
-
Cytnx
Cytnx is a tensor network library for classical/quantum physics simulations, supporting C++ and Python with a similar interface. It provides similar interfaces resembling numpy, SciPy, and PyTorch for users to easily implement tensor network algorithm. Also, Cytnx allows easy definition of symmetries in tensors and includes a Network class for optimizing tensor contractions. GPU support and further applications are in development.- Project Contact: Lin Chang Teng (discord: @jeffry1829#0568), Ke Hsu (discord: @kjjjjjjjjj1104#5128)
- Project link: Github
聯絡方式 / Contact us
- sciwork: https://sciwork.dev/
- discord: https://discord.gg/6MAkFrD
- email: contact@sciwork.dev (subject: I want to lead a project in scisprint)
- flickr: https://www.flickr.com/photos/sciwork/albums
售票資訊
本活動票券包含餐飲費，欲報名參加者請購買餐飲票。
This event ticket includes lunch fees. Those who wish to participate should purchase a lunch ticket.
1. 餐飲票 (Ticket) | NT$289
退票政策
本活動委託 KKTIX 代理退票退費，詳細資訊請參考《KKTIX 退換票辦法》。
主辦單位 / Organizers
sciwork 社群
協辨單位 / Co-Organizers
開放文化基金會 Open Culture Foundation
贊助夥伴 / Sponsors
前沿理論及計算研究中心 CTC
