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From ALICE Documentation

This wiki is the main documentation source for information about the Academic Leiden Interdisciplinary Cluster Environment (ALICE) cluster. ALICE is the research computing facility of the partnership Leiden University and Leiden University Medical Center. It is available to any researcher from both partners. In this wiki, we will introduce the ALICE cluster in detail.

Below you find a collapsible tree structure of our documentation set which gives you a quick overview of the full navigation tree. The root tree items are also directory accessible from the top navigation bar.

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About ALICE

This wiki is the main documentation source for information about the Academic Leiden Interdisciplinary Cluster Environment (ALICE) cluster. ALICE is the research computing facility of the partnership Leiden University and Leiden University Medical Center. It is available to any researcher from both partners. In this wiki, we will introduce the ALICE cluster in detail. We assume you know your way around in a terminal session and that you will responsibly use the cluster and respect the available resources. Remember that a cluster runs many different processes submitted by many different users. If you are not sure what you are doing, ask your administrator before submitting very intensive jobs.

Research Acknowledgement

We request that you acknowledge the use of the ALICE facilities in all publications and presentations which use any results generated through your use of the ALICE clusters and that you send us copies of publications (or provide links) on request. The following acknowledgement can be used in papers:

"This work was performed using resources provided by the Academic Leiden Interdisciplinary Cluster Environment (ALICE)."

Why

Introduction

Future plans

Costs overview

Results

Hardware description

Accessing software

Data storage

Current Status Overview

News

Maintenance announcements

There is no maintenance with downtime planned with downtime.

To maintenance policy

Publications

Identifying Earth-impacting asteroids using an artificial neural network. John D. Hefele, Francesco Bortolussi and Simon Portegies Zwart. Astronomy & Astrophysics, February 2020.