# Performance Comparison for Neuroscience Application Benchmarks

## TL;DR

This paper evaluates the performance of neuroscience application benchmarks across different high-performance computing systems, highlighting the infrastructure needs for large-scale brain research and data processing.

## Contribution

It introduces a set of benchmarks tailored for brain research applications and compares their performance on IBM POWER8 and Intel Skylake systems with and without GPUs.

## Key findings

- Performance varies significantly across hardware configurations.
- GPUs improve performance for certain benchmarks.
- Insights into infrastructure requirements for neuroscience computing.

## Abstract

Researchers within the Human Brain Project and related projects have in the last couple of years expanded their needs for high-performance computing infrastructures. The needs arise from a diverse set of science challenges that range from large-scale simulations of brain models to processing of extreme-scale experimental data sets. The ICEI project, which is in the process of creating a distributed infrastructure optimised for brain research, started to build-up a set of benchmarks that reflect the diversity of applications in this field. In this paper we analyse the performance of some selected benchmarks on an IBM POWER8 and Intel Skylake based systems with and without GPUs.