aiXcelerate 2021 08.12.21 - 09.12.21 Registration for machine learning part
- High Performance Computing
- IT Center
- Participation Fee:
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 invited 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.
You are currently in the registration for the machine learning (ML) part of the event.
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.
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.
Find more information and detailed Agenda here.
|Date:||08/12/2021 to 09/12/2021|
10:00 - 17:00
Online - Zoom
|Slots:||up to 300|
|Registration:||Ends 26/11/2021 at 23:59|