AMD Computing & User Training Workshop for NSTCCore Computing Service( 29-Mar. 2024)

Asia/Taipei
中央研就院-人文社會科學館-國際會議廳 (Auditorium, Building of Humanities and Social Sciences, Academia Sinica)

中央研就院-人文社會科學館-國際會議廳 (Auditorium, Building of Humanities and Social Sciences, Academia Sinica)

台北市南港區研究院路2段128號 (128, Sec.2, Academia Rd., Taipei, Taiwan)
Description

AMD Computing & User Training Workshop for NSTCCore Computing Service 2024

報名註冊網址:https://indico4.twgrid.org/event/39/registrations/

回饋問卷網址:https://indico4.twgrid.org/event/39/surveys/3

國科會高效能核心計算服務計畫,在國科會支持下,交由中研院物理所高能物理與科學計算技術中心 (ASGC) 執行,提供本「高效能科學計算服務」

我們將於 2024 年 3月29日 (星期五) 舉辦設施服務使用者訓練工作坊,誠摯邀請各大專院校及研究機構參加。

本次工作坊很榮幸邀請了AMD技術團隊,介紹如何上手使用AMD計算資源來增進您計算工作的效能!

另外也邀請到中研院資訊所depositar團隊,讓使用者對於研究資料管理有更多了解。

請千萬不要錯過此次精彩的內容!

 

上午場的課程有

1. 高效能計算的基礎實作訓練

介紹ASGC Computing服務及儲存服務的內容和基礎操作,計算服務包含SLURM和DiCOSApp,提供Batch mode和SaaS計算使用需求。

2. 研究資料管理與寄存;研究資料寄存所 (depositar) 介紹與使用 (邀請到中研院資訊所 depositar 團隊 )

可共享、再次利用的研究資料,是科學發展的基石。而研究資料可否被如期地釋出,則取決於資料管理的工作是否紮實。在開放科學漸受世界各國重視的此刻,研究資料管理的重要性正日益彰顯,而研究資料儲存庫作為資料共享的核心設施,也扮演著促進研究資料能否符合 FAIR 原則(可被找到、可被取用、可相互操作、可再次使用)的關鍵角色。本課程將帶大家了解研究資料管理及以 FAIR 為基礎的研究資料儲存庫 depositar(研究資料寄存所)。

下午場的課程則是

3. AMD EPYC CPU platform for High-Performance Computing計算資源探索

這將會是帶來一場極具豐富性的技術研討會,我們邀請了AMD技術講師,一起探索全新上線的AMD計算資源。

在這場研討會中,我們將深入探討AMD EPYC CPU的特點和硬體架構,讓您對AMD的最新技術有更深入的理解。除此之外,我們還將提供針對編譯和使用等技術的訓練,涵蓋了ComplierLibraryOpenMP/MPI等重要工具和技巧,讓您能夠充分發揮AMD計算資源的潛力。在這次訓練中,我們將分享效能調優的技巧,幫助您優化您的應用程序,以獲得更好的性能表現。最重要的是,我們將提供互動式的環節,讓您有機會將您的需求和使用上的問題帶到現場進行研討和討論,與其他參與者一起交流和分享經驗。

我們期待與您一起探索AMD核心資源的操作和使用,並共同推動技術的發展!

 

誠摯期待您的參與!

 

時間:2024 年 3 月 29 日 (星期五)  09:00 ~ 15:30

地點:中央研究院人文社會科學館 - 國際會議廳

- 參加實作訓練的學員,需自備筆電,並安裝Putty或其他終端機軟體。

- 參加實作訓練的學員請先行完成服務帳號註冊,帳號註冊說明如下:

- 當天若因故無法實體參與,另提供線上直播以供觀看,歡迎您填寫報名表單,直播網址將寄至所註冊的電子郵件信箱。

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AMD Computing & User Training Workshop for NSTCCore Computing Service 2024

We are pleased to invite you to attend this exclusive upcoming workshop!

Registration On-line at: https://indico4.twgrid.org/event/39/registrations/

Questionnaire On-line at: https://indico4.twgrid.org/event/39/surveys/3

The high-performance computing(HPC) & storage service of Core Facility for Networking Science, Technology and advanced Computing (NSTCCore) is funded by National Science and Technology Council (NSTC) and executed by ASGC.

It's our great pleasure to invite AMD technical expert team to give a useful guide to improve your computing performance with AMD computing resources.

Besides, we invite the depositar team of the Institute of Information Science to give introductions to get in-depth knowledge of Research Data Management and Repository.

 

In the morning session,  there will be

1. SLURM & DiCOSApp Computing & Storage Service: Introduction & Hands-on

We will introduce ASGC computing & storage service, including policy, pricing and service. Hands-on of SLURM and DiCOSApp for both batch and SaaS mode computing tasks will be given as well.

2. Research Data Management and Repository; depositar: Introduction & Hands-on : (Invite to the depositar team of the Institute of Information Technology, Academia Sinica )

Research data that can be shared and reused is the cornerstone of scientific development. Whether research data can be released as scheduled depends on how well the data has been managed. At this moment when open science is increasingly valued worldwide, the importance of research data management is increasingly acknowledged. Research data repositories, as core facilities for data sharing and preservation, also play crucial roles in promoting the compliance of research data with the FAIR principles (Findable, Accessible, Interoperable, Reusable). This course will guide you through the basics of research data management and introduce depositar, an free and open data repository developed to meet the FAIR data principles.

 

In the afternoon session, there will be

3. Discover AMD EPYC CPU platform for High-Performance Computing

AMD technical experts will give the introduction of AMD EPYC CPU Architecture and its unique features that helps you to grow in-depth knowledge of AMD latest technology. Besides, we will give training course including AMD Compiler, Library and OpenMP/MPI ...etc. We will also share performance tuning technique to optimize your computing performance on AMD clusters. All participants are welcomed to bring up your requirements or questions. We are happy to meet and discuss with you in this workshop.

 

Look forward for your participation!

 

Date: 09:00 ~ 15:30, Friday, March-29 2024

Place: Auditorium, Building of Humanities and Social Sciences, Academia Sinica (No.128, Sec.2, Academia Road, Taipei, Taiwan) 

- Please bring your own laptop/tablet with a installed terminal tool (Putty or other terminal toolkits) if you will join Hands-on session

- Please register your account before joining Hands-on session.

- If you couldn't join the physical workshop, welcome to join via live cast. Please fill the registration form, we will send URL of live cast to your email account.

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Surveys
AMD Computing & User Training Workshop for NSTCCore Computing Service( 29-Mar. 2024)
    • 9:00 AM 9:30 AM
      報到 Registration
    • 9:30 AM 9:40 AM
      一: 高效能計算服務教育訓練工作坊介紹 Opening & Introduction
      • 運算資源、服務內容和計價模式 (Resource, Service & Pricing)
      Conveners: Eric Yen (eric.yen@twgrid.org) (ASGC) , Jingya You
    • 9:40 AM 10:30 AM
      二: 高效能科學運算服務 Computing Service Hands-On
      • 科學運算服務平台(Computing Service Platform):SLURM & DiCOSApp
      • SLURM
      • SLURM執行工作操作
      • SLURM參數介紹
      • 多核心程式編程及操作 Multi-Core Jobs
      • DiCOSApp Computing Service
      • 資料服務(Data Service):資料備份及傳輸(Data Backup & Transfer)
      • 軟體服務需求、環境部署
      Conveners: Felix Lee (ASGC) , Jingya You
    • 10:30 AM 11:00 AM
      休息 Break 30m
    • 11:00 AM 12:00 PM
      三: 研究資料管理與寄存;研究資料寄存所 (depositar) 介紹與使用 Research Data Management and Repository; depositar: Introduction & Hands-on
      • 開放科學的核心事務:研究資料管理
        (The core of open science: research data management)
      • 以 FAIR 原則為基石的研究資料儲存庫 - depositar (研究資料寄存所)
        (A research data repository based on the FAIR data principles - depositar )

      講者 Lecturer:
      何明諠|中央研究院資訊科技創新研究中心|專案經理
      Ming-Syuan Ho | Research Center for Information Technology Innovation | Project Manager
      王家薰|中央研究院資訊科學研究所|專案經理
      Chia-Hsun Wang | Institute of Information Science, Academia Sinica | Project Manager

      Contact: data.contact@depositar.io

      Conveners: Ho Ming-Syuan (Institute of Information Science, Academia Sinica) , Lee Cheng-Jen (Institute of Information Science, Academia Sinica) , Wang Chia Hsun (Institute of Information Science, Academia Sinica)
    • 12:00 PM 1:30 PM
      午餐 Lunch 1h 30m
    • 1:30 PM 3:30 PM
      四: Topic: AMD EPYC CPU platform for High-Performance Computing

      I. AMD EPYC CPU platform for High-Performance Computing
      - AMD EPYC CPU architecture & features
      - AMD compiler and library
      - AMD for OpenMP/MPI
      - AMD performance tuning

      II. AMD Q & A

      講者 Lecture: AMD技術講師

    • 3:30 PM 3:40 PM
      問卷調查 Questionnaire
    • 3:40 PM 4:00 PM
      休息 Break 20m