Use Case Collection

EGI is a federation of over 300 computing and data centres spread across 56 countries in Europe and worldwide EGI delivers advanced computing services to support scientists, multinational projects and research infrastructures

EGI is supported by the EGI-Engage project, co-funded by the European Union (EU) Horizon 2020 program under grant number 654142

Research Infrastructures

and

Large Research Collaborations

In 2016, the Worldwide LHC Computing Grid (WLCG) transferred on average 80 Petabytes of data per month.

This corresponds to more than 1 billion files per month transferred to thousands of particle physicists working across the world.

ATLAS control room at CERN

WLCG provides computing and storage to the High Energy Physics experiments operating at CERN’s Large Hadron Collider

WLCG: Online Storage and Data Transfer at unprecedented scales

1350 scientists from 32 countries

CTA EGI usage (2013-2016):

• 360 million HS06 CPU hours

• 11 PB of data transferred

• 2 PB currently in storage

• 11 million compute jobs Credit: Akihiro Ikeshita Mero-TSK

CTA uses EGI’s High-Throughput Compute and Online Storage services to manage its computational challenges during the array preparatory phase.

http://go.egi.eu/cta

Cherenkov Telescope Array: the world’s leading gamma-ray observatory

240 scientists from 14 countries

H.E.S.S. EGI usage (per year):

• 38 million HS06 CPU hours

• 2,000 compute jobs running at any given time Credit: Julien Bolmont / Collaboration HESS /

CNRS Photothèque

H.E.S.S. uses EGI’s High-Throughput Compute service to run massive Monte Carlo simulations from the data collected in their observatory in Namibia.

http://go.egi.eu/hess

H.E.S.S. Experiment: a window to the high energy universe

CLIC and ILC are two linear collider experiments set up to explore what happens when electrons & antielectrons collide at high-energy.

CLIC and ILC EGI usage (2016):

• 220 million HS06 CPU hours

• 8,000 submitted compute jobs Credit: Akiya Miyamoto

CLIC and ILC use EGI High-Throughput Compute to simulate tens of millions of collision events.

https://www.egi.eu/use-cases/research-stories/clic-ilc/

CLIC and ILC: a new look into the subatomic world

700 scientists from 23 countries and regions

Belle II EGI usage (2009-2016):

• ~1.61 billion HS06 CPU hours

• ~16.4 million submitted jobs Credit: Julien Bolmont / Collaboration HESS / CNRS Photothèque

Belle II: Finding the balance between matter and antimatter

The Belle II experiment (based at the SuperKEKB accelerator in Japan) was set up to search for a new mechanism for the CP violation beyond the Kobayashi-Maskawa theory.

http://go.egi.eu/belle

Applications, tools and

platforms for science (Thematic Services)

For modelling the structure of

proteins and other molecules

Scientists input their data and specifications; HADDOCK returns best fit simulations.

So far, HADDOCK processed over 130,000 submissions from more than 7,500 scientists.

HADDOCK portal – Structural Biology

HADDOCK relies on EGI’s High-Throughput Compute service

https://www.egi.eu/use-cases/scientific-applications-tools/haddock/

For medical simulation and

image data analysis

VIP allows life scientists to use

complex computational tools

with no added IT overhead.

VIP portal – Medical Imaging

VIP relies on EGI’s High-Throughput Compute service and the DIRAC instance provided by France Grilles

http://go.egi.eu/vip

http://chipster.csc.fi/

Chipster - Bioinformatics

Research story: http://go.egi.eu/BIBD

For genomic analysis

A user-friendly analysis

software for high-throughput

data with over 350 analysis

tools and a large collection of

reference genomes

Users can save and share

automatic analysis workflows,

and visualize data interactively

Individual scientists and

research groups (the so-called Long-Tail of Science)

When human cell meets

Salmonella

K. Förstner (Univ. Würzburg) used Cloud Compute to run READemption - a pipeline for the analysis of sequencing data.

Cloud Compute helped the team to handle demand peaks and that sped up the whole process significantly.

Published in Nature (doi:10.1038/nature16547)

Understanding the genetics of Salmonella infections

http://go.egi.eu/salm

Evolution of adaptations for

the aquatic environment

G. Tsagkogeorga (Queen Mary) used HTC to run probabilistic analyses using codon models of evolution.

They found that cetaceans specialised to live underwater after they split from the hippos, 55 million years ago.

Published in Royal Society Open Science (doi: 10.1098/rsos.150156)

HTC resources provided by GridPP

When did whales and dolphins become adapted to life underwater?

https://www.egi.eu/use-cases/research-stories/cetaceans/

Predicting Twitter trends in real

time

A. Vakali (Aristotle University of Thessaloniki) used Cloud Compute to test a new software to detect trending topics.

The model was able to predict what was trendy 80% of times.

Published in Advances in Big Data (doi: 10.1007/978-3-319-47898-2_20)

Cloud Compute resources provided by GRNET / Okeanos

How to predict social media trends?

https://www.egi.eu/use-cases/research-stories/how-to-predict-social-media-trends/

Assuming homogeneous clouds

changes reading parameters

C. Cornet (Univ. Lille) used HTC to model the effects of ice water crystals distribution in measured properties of cirrus clouds.

Her team found that models that consider even, homogeneous clouds are too simplistic and error-prone.

Published in Atmospheric Measurement Techniques (doi:10.5194/amt-8-633-2015)

HTC resources provided by France Grilles

Does ice water change the optical properties of cirrus clouds?

https://www.egi.eu/use-cases/research-stories/cirrus/

Chipster helps virologists to

understand millions of genomes

J. Hepojoki (Univ. Helsinki) used

Chipster to analyse the viruses

found in six snakes suffering

from Boid Inclusion Body

Disease.

They found that all samples had more than one arenavirus, some of them from entirely new species.

Published in Journal of Virology (doi:10.1128/JVI.01112-15)

New viruses implicated in fatal snake disease

http://go.egi.eu/BIBD

How bacteria steal iron from plant proteins

https://www.egi.eu/use-cases/research-stories/iron-piracy/

HADDOCK shows how iron

pirates operate

R. Grinter (Monash Univ.) used

the HADDOCK portal to

understand the structure of

FusA, a receptor in bacterial cells

designed to grab and steal iron

from plant proteins

http://haddock.science.uu.nl/

Published in Nature Communications (doi:10.1038/ncomms13308)

EGI Foundation • Science Park 140 • 1098 XG Amsterdam

The Netherlands

+31 (0)20 89 32 007 • www.egi.eu

@EGI_eInfra

Get in touch!

Visit https://www.egi.eu/

Services https://www.egi.eu/services/

Publications https://www.egi.eu/about/publications/

Contact us:

– For public institutions: contact@egi.eu

– For private organisations: business@egi.eu

Discover more