POP HPC

From Code to Scale EPICURE’s Services, Stories, and Training for EuroHPC Users

POP HPC

Analysis and Optimization at Production Scale Insights from Vlasiator

POP HPC

ParaViz3D MPI Trace Visualization with 3D Video

POP HPC

POP CoE Christmas Greetings 2025

POP HPC

Levels of Detail in Performance Analysis

POP HPC

Exploring Compiler Behavior on Applications from Miniapp to Large-scale Application on Modern CPUs

POP HPC

Scalable Visualization of Nsight Systems Traces with Paraver

POP HPC

CARM Paraver Integration Demo

POP HPC

PyOMP Writing HPC code in Python

POP HPC

Benchmarking of IO Activities in HPC Applications with STrace Inspector

POP HPC

ZeroSum User Space Utility for Monitoring Process, Thread, OS and HW Resources

POP HPC

OpenMP 6.0 Part 2 New Device Offloading Features

POP HPC

OpenMP 6.0 Part 1 New Host-side Features and Enhancements

POP HPC

ChEESE and POP a Story of Success and Fruitful Interaction

POP HPC

Assessing CPU Code Quality

POP HPC

How to Use POP Services

POP HPC

The CARM Tool Cache-aware Roofline Model for HPC

POP HPC

Performance Analysis of OpenMP Target Offloading in Score-P

POP HPC

Asynchronous GPU Programming in OpenMP

POP HPC

Six and a half years of POP CoE What Remains

POP HPC

Resources for Co Design

POP HPC

The POP Superheroes

POP HPC

POP The SME Perspective

POP HPC

Introduction to Paraver

POP HPC

Module 4.2a Introduction to Paraver - Timelines

POP HPC

Module 4.2b Introduction to Paraver - Tables

POP HPC

Module 4.2c Introduction to Paraver - Semantic Functions

POP HPC

Module 4.2 Introduction to Paraver

POP HPC

Module 8 Computing the POP Metrics with Score-P, Scalasca, Cube

POP HPC

The Scalasca Scalable Parallel Performance Analysis Toolset – for POP assessments and beyond

POP HPC