# Application performance on a Cluster-Booster system

## TL;DR

This paper demonstrates how a heterogeneous Cluster-Booster system can significantly improve application performance by enabling flexible resource allocation and code partitioning, validated through real-world scientific application measurements.

## Contribution

It introduces the first performance measurements of a scientific application on a Cluster-Booster system, showcasing the benefits of heterogeneous architecture and code partitioning.

## Key findings

- Performance gains demonstrated with real-world application
- Effective resource utilization through heterogeneous architecture
- Validation of code-partitioning approach in practice

## Abstract

The DEEP projects have developed a variety of hardware and software technologies aiming at improving the efficiency and usability of next generation high-performance computers. They evolve around an innovative concept for heterogeneous systems: the Cluster-Booster architecture. In it, a general purpose cluster is tightly coupled to a many-core system (the Booster). This modular way of integrating heterogeneous components enables applications to freely choose the kind of computing resources on which it runs most efficiently. Codes might even be partitioned to map specific requirements of code-parts onto the best suited hardware. This paper presents for the first time measurements done by a real world scientific application demonstrating the performance gain achieved with this kind of code-partition approach.