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aiXcelerate 2021

Monday, 6. December 2021 - Thursday, 9. December 2021

Topics: I/O & ML

Description

The annual workshop aiXcelerate at RWTH Aachen University (RWTH@NHR4CES) is a tuning workshop for HPC users. It comprises lectures that are open for everyone, and hands-on parts where registered groups apply the learnt concepts to their own codes. This year, aiXcelerate covers performance tuning for I/O-intensive workloads and machine-learning applications. It will take place online from December 6th to 9th, 2021.

The I/O part of the workshop examines the impact of unoptimized I/O on the overall application performance. The content covers I/O strategies, best practices, analysis tools, and hardware options from RWTH that can improve I/O performance. The ML part of the workshop addresses the increasing demand of computations tailored for GPUs. The content specifically focuses on how to detect whether the resources are efficiently utilized and in which situations it might suffice running workloads on the CPU partition to reduce the overall turnaround time.

Bring Your Own (BYO) Code – Please apply!

Since aiXcelerate is a tuning working, its purpose is to investigate your own code together with experts from the IT Center. If you are interested in a code analysis with respect to I/O or machine learning, please apply (informally) during the respective registration process: Let us know that you want to BYO code (and why) and we will contact you later with all details. We reserve the right to decline certain applications for BYO code.

Prerequiste for BYO: This offer targets at current and prospective users of the RWTH infrastructure. To this end, you should already have access to RWTH’s compute cluster CLAIX. Your code should run on CLAIX.

Organization

  • There is no seminar fee.
  • Presentations will be given in English. Slides will be available during or after the event.
  • Please register separately for each part (I/O and ML) that you would like to attend.
  • This is an online event. Detailled participation information (e.g., Zoom link) will be sent to registered participants shortly before the event.

 

Part I: I/O

Registration

Registration link for lectures and/or BYO code (December 6th – 7th, 2021): Registration is closed

Please select the corresponding check box if you are intersted in bringing your own code. If applicable, also tell us why you want to BYO (in the “comments” section).

Registration closing date: extended until Friday, November 26th, 2021

Skills

Course level: beginner to intermediate

Target audience

  • HPC users
  • HPC developers

Prerequisites

  • Basic knowledge of Shell programming
  • Basic knowledge of working in a Linux environment

Gained skills

  • Choose the right filesystem for my application runs
  • Understand the impact of I/O on my application’s runtime
  • Execute basic I/O performance measurements with Darshan & Score-P/Vampir
  • Basic knowledge of parallel I/O strategies and libraries available in HPC

Agenda

Monday, December 6th, 2021: I/O – Day 1

Time

Topic
Speaker
09:00 – 10:00 Does I/O matter to me? Philipp Martin (RWTH)
10:00 – 10:15 Break
10:15 – 11:15 Overview of I/O Technologies on CLAIX Philipp Martin (RWTH)
11:15 – 11:30 Break
11:30 – 12:30 Using Darshan for I/O Analysis Radita Liem (RWTH)
12:30 – 14:00 Lunch Break
14:00 – 15:00 Using Score-P & Vampir for I/O Analysis Marc-André Hermanns (RWTH)
15:00 – 15:15 Break
15:15 – 16:45 BYO: Preparation of benchmarks and job submissions for user codes

Tuesday, December 7th, 2021: I/O – Day 2

Time

Topic
Speaker
09:00 – 10:00 I/O Libraries: Overview and MPI-IO Marc-André Hermanns (RWTH)
10:00 – 10:15 Break
10:15 – 11:00 I/O Libraries: HDF5 Sebastian Lührs (Forschungszentrum Jülich)
11:00 – 11:15 Break
11:15 – 12:00 I/O Patterns Best Practice Radita Liem (RWTH)
12:00 – 13:30 Lunch Break
13:30 – 15:00 BYO: Review benchmark results
15:00 – 15:15 Break
15:15 – 16:00 BYO: Lightning talks about take-aways

Course Material

 

Part II: Machine Learning (ML)

Registration

Registration link for lectures and/or BYO code (December 8th – 9th, 2021): Registration is closed

Please select the corresponding check box if you are intersted in bringing your own code. If applicable, also tell us why you want to BYO (in the “comments” section).

Registration closing date: extended until Friday, November 26th, 2021

Skills

Course level: beginner to intermediate

Target audience

  • HPC users
  • HPC developers

Prerequisites

  • Basic knowledge of Shell and Python programming
  • Basic knowledge of working in a Linux environment

Gained skills

  • Understanding the challenge of turnaround times on CLAIX due to overbooked GPU resources
  • Select appropiate cluster resources and problem sizes for development, testing and production phases
  • Determine basic resource utilization of my ML/DL application
  • Configure and run my desired ML/DL execution environment (e.g. by utilizing existing containers on CLAIX)
  • Choose the right filesystem for my ML/DL application runs

Agenda

Wednesday, December 8th, 2021: ML – Day 1

Time

Topic
Speaker
09:00 – 09:30 Welcome & ML Focus Jannis Klinkenberg (RWTH)
09:30 – 10:00 Infrastructure Overview and Future Plans Christian Terboven (RWTH)
10:00 – 10:15 Break
10:15 – 11:00 Vision: Development, Testing and Production Runs Jannis Klinkenberg (RWTH)
11:00 – 11:15 Break
11:15 – 12:30 Configuring and Running ML/DL workloads on CLAIX Sven Hansen (RWTH), Jannis Klinkenberg (RWTH)
12:30 – 14:00 Lunch Break
14:00 – 14:30 Identifying whether my workload makes efficient use of resources Jannis Klinkenberg (RWTH)
Philipp Martin (RWTH)
14:30 – 14:40 CLAIX Support for Distributed Machine Learning Radita Liem (RWTH)
14:40 – 15:00 Case Study: Performance Analysis of Large Scale Distributed DL Anara Kozhokanova (RWTH)
15:00 – 15:15 Break
15:15 – 17:00 Hands-on: Running ML/DL Workloads on CLAIX

Thursday, December 9th, 2021: ML – Day 2

Time

Topic
Speaker
09:00 – 16:00 BYO

Course Material

Details

Start:
Monday, 6. December 2021
End:
Thursday, 9. December 2021
Event Categories:
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Venue

Online
Deutschland

Organizer

HPC
Email
hpcevent@itc.rwth-aachen.de
View Organizer Website