41st VI-HPS Tuning Workshop (online)

Start
7th February 2022 08:00 AM
End
11th February 2022 17:00 PM
Location
Online

The workshop will be held online, using the Zoom videoconference platform.

Goals

This workshop organised by VI-HPS, Jülich Supercomputing Centre & RWTH Aachen ITC will:

  • give an overview of the VI-HPS programming tools suite
  • explain the functionality of individual tools, and how to use them effectively
  • offer hands-on experience and expert coaching assistance using the tools
  • with your own application running on multi-GPU compute nodes

On completion participants should be familiar with common performance analysis and diagnosis techniques and how they can be employed in practice (on a range of HPC systems). Those who prepared their own application test cases will have been coached in the tuning of their measurement and analysis, and provided optimization suggestions.

Programme Overview

Presentations and hands-on sessions are planned on the following topics:

  • Setting up, welcome and introduction
  • APR performance reports
  • MUST runtime error detection for MPI
  • Caliper event annotation, logging & profiling
  • Nsight system-wide and CUDA kernel profiling
  • PAPI hardware performance counters
  • Score-P instrumentation and measurement
  • CUBE profile processing and exploration
  • TAU performance system
  • Scalasca automated trace analysis
  • Vampir interactive trace analysis
  • Paraver/Extrae/Dimemas trace analysis and performance prediction
  • JUBE script-based workflow batch execution environment
  • ... and potentially others to be added

A brief overview of the capabilities of these and associated tools is provided in the VI-HPS Tools Guide.

The workshop will be held in English and run from 09:00 to not later than 18:00 each day, with breaks.

Classroom capacity is limited, therefore priority will be given to applicants with parallel codes already running on the workshop computer system (JUWELS), and those bringing codes from similar GPU-accelerated Linux cluster systems to work on. Participants are encouraged to prepare their own GPU-accelerated MPI, OpenMP and hybrid MPI+OpenMP heterogeneous parallel application codes for analysis. Codes using multiple GPUs via OpenACC, OpenCL or CUDA will be given priority.

Agenda

see Workshop Homepage

Language

This course will be given in English.

Link to event:

Last Modified: 22.03.2022