Optimization of Scaling and Node-level Performance on Hawk

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)

Venue Information

Country: Germany
Venue Details: Click here

Training Content and Scope

Scientific Domain
Level of Instruction
Intermediate
Advanced
Sector of the Target Audience
Research and Academia
Industry
Public Sector
HPC Profile of Target Audience
Application Developers
Language of Instruction

Other Information

Organiser
Event/Course Description

In order to increase the efficiency of our users' applications on Hawk, HLRS, HPE and AMD offer this workshop to enhance the node-level performance as well as scaling of the codes utilized by participants. By doing so, users can raise the volume as well as quality of their scientific findings while the costs (in terms of core hours) remain constant.

Moreover, this workshop allows you to get practical experience and support w.r.t. performance analysis tools available on Hawk. Please have in mind those tools are essential to gather the performance data which has to be included in the compulsory annual report on usage of compute time budgets!

By means of this workshop, you can tweak compiler flags, environment settings, etc. in order to make your code run faster. According to our experience gathered in prior workshops, these “low-hanging fruits” can give you a significant speedup but require only little effort.

Furthermore, you will analyze the runtime behavior of your code, locate bottlenecks, design and discuss potential solutions as well as implement them. All categories of bottlenecks (CPU, memory subsystem, communication and I/O) will be addressed, according to the respective requirements. Ideally, the above steps will be repeated multiple times in order to address several bottlenecks.

Every attending group will be supported during the entire workshop by a dedicated member of the HLRS user support group. In addition, HPE and AMD specialists will be available to help with issues specific to e.g. MPI and the processor.

Due to the Covid-19 pandemic, we decided to provide this workshop in an online fashion. In order to do so, we will setup breakout rooms in a Zoom session which enable participants to communicate as well as share screens and remote control applications with support staff, hence providing the same options of interaction as meeting in person.