Prof.
Hartmut Schmeck
(KIT, COMMputation)
26/08/2013, 14:00
Prof.
Achim Streit
(KIT-SCC)
26/08/2013, 14:05
Dr.
Peter Kunszt
(ETH Zürich)
26/08/2013, 14:30
Big Data and Large Storage Systems
By today, especially in the natural sciences, computers have become indispensible tools and instruments for research. Recently, due to progress in digital measurement technology, researchers acquire vast amounts of data in ALL domains of science. Not only the amount of data, but also its complexity is continuously increasing. And to top it off, the data needs to be shared within large...
Lukasz Janyst
(CERN)
26/08/2013, 16:00
Big Data and Large Storage Systems
According to IDC forecasts, Big Data-related IT spending is to rise 40% each year between 2012 and 2020, and the total amount of information stored world-wide will about double every two years. It means that the, so called, digital universe will explode from 2.8 zettabytes in 2012 to 40ZB, or 40 trillion GB, in 2020. This is more than 5200 gigabytes for every man, woman, and child alive in...
Leif Nixon
(Linköping University)
26/08/2013, 16:40
Cloud&Grid Technologies
The European Grid Infrastructure (EGI, http://egi.eu/) is a distributed
environment, spanning roughly 270,000 logical CPUs, 140 PB of disk, and 130 PB
of tape storage at 352 sites in 54 countries. More than 20,000 users,
organised in more than 200 virtual organisations, from all over the world are
currently running approximately 1.4 million jobs per day using this...
Dr.
Herbert Cornelius
(INTEL)
27/08/2013, 09:00
Effective programming and multi-core computing
As we see Moore's Law alive and well, more and more parallelism is introduced into all computing platforms and on all levels of integration and programming to achieve higher performance and energy efficiency. We will discuss the new Intel® Many Integrated Core (MIC) architecture for highly-parallel workloads with general purpose, energy efficient TFLOPS performance on a single chip. This also...
Mirko Kämpf
(Cloudera)
27/08/2013, 09:40
Big Data and Large Storage Systems
A Hadoop cluster is the tool of choice for many large scale analytics applications and a large variety of commercial tools is available for Data Warehouses and for typical SQL-like applications.
But how to deal with networks and time series? How to collect data for complex systems studies and what are good practices for working with libraries like Mahout and Giraph?
The sample use case...
Christoph Fehling
(Uni Stuttgart)
27/08/2013, 10:50
Cloud&Grid Technologies
The functionality found in different products in the cloud computing market today is often similar, but hidden behind different product names and other provider-specific terminology. We analyzed this multitude of cloud-related products to extract the common underlying behavior as well as the common architectural best practices that developers using these cloud technologies should follow. The...
Axel Koehler
(NVIDIA)
27/08/2013, 11:30
Effective programming and multi-core computing
Computational researchers, scientists and engineers are rapidly shifting to computing solutions running on GPUs as this offers significant advantages in performance and energy efficiency.
This presentation will provide a short overview about GPU Computing and NVIDIA's parallel computing platform. It will show how features of the latest Kepler GPU architecture (eg. Hyper-Q, GPU-aware MPI...
Dr.
Marek Bundzel
(Technical University Kosice)
27/08/2013, 19:00
Computers - the high point of technology. Our omnipresent slaves and
sometimes masters. But thousands of years before the first vacuum tube
lit up biological computing machines existed that would outmatch our
contemporary silicon companions in nearly every aspect. If in doubt
just try to build a machine doing what a simple ordinary house fly
does. Soon you will realize, that this simple...
Dr.
Urban Liebel
(Accelerator-lab)
28/08/2013, 09:00
Big Data and Large Storage Systems
Modern robotic microscopy platforms (High content screening platforms) are ideal instruments for large scale genome studies. The image based read outs often generate 10s of TByte data sets per single experiment. 10.000s of experiments are waiting to be done in the next years in hundreds of labs worldwide. Besides cell based assays , transgenic model organism like zebrafish or drosophila allow...
Dr.
Benedikt Hegner
(CERN)
28/08/2013, 09:40
Effective programming and multi-core computing
Even though the miniaturization of transistors on chips continues like predicted by Moore's law, computer hardware starts to face scaling issues, so-called performance 'walls'. The probably best known one is the 'power wall', which limits clock frequencies. The best way of increasing processor performance remains now to increase the parallelization of the architecture. Soon standard CPUs will...
Dr.
Jose Luis Vazquez-Poletti
(Universidad Complutense de Madrid (Spain))
29/08/2013, 09:00
Cloud&Grid Technologies
As another tool that Humanity has used for expanding its limits, cloud computing was born and evolved in consonance with the different challenges where it has been applied.
Due to its seamless provision of resources, dynamism and elasticity, this paradigm has been brought into the spotlight by the Space scientific community and in particular that devoted to the exploration of Planet Mars....
Dr.
Stefan Radtke
(EMC<b>2</b>)
29/08/2013, 10:50
Cloud&Grid Technologies
The It infrastructure of today’s datacenters are getting more and more complex while at the same time the demand of ease of use is changing the whole industry. Petabyte scale datacenters don’t allow traditional operations where administrators and technicians need to investigate failures for singe users or applications at scale. A change towards a policy driven architecture is required that...
Dr.
Steve Aplin
(DESY)
30/08/2013, 09:00
Big Data and Large Storage Systems
Whilst Big Data is often characterised in terms of its volume in bytes: Tera, Peta, Zeta, there is also the crucial aspect regarding the degree of complexity within the data set to consider. Such complexity means that good data management is an essential element in the creation of high quality research data, without which researchers who collect the data will themselves be unable to realise...
Dr.
Stephen Burke
(European Grid Infrastructure (EGI))
30/08/2013, 09:40
Cloud&Grid Technologies
In a distributed system it's necessary to be able to get information about the available services and resources. This includes the existence and properties of Grid services and details about their current state. The information is structured according to a schema, which needs to be flexible enough to represent the variety of services in the Grid but simple enough to be usable. It is collected...
Dr.
Bob Jones
(CERN)
30/08/2013, 10:50
Cloud&Grid Technologies
The feasibility of using commercial cloud services for scientific research is of great interest to research organisations such as CERN, ESA and EMBL, to the suppliers of cloud-based services and to the national and European funding agencies. Through the Helix Nebula - the Science Cloud [1] initiative and with the support of the European Commission, these stakeholders are driving a two year...
Peter Krauss
(KIT), Mr.
Tobias Kurze
(KIT), Mr.
Viktor Mauch
(KIT)
Cloud&Grid Technologies
In the last couple of years cloud computing has achieved an important status in the IT scene. The renting of computing power, storage and applications according to requirements is regarded as future business.
This tutorial course gives an introduction of the basic concepts of the Infrastructure-as-a-Service (IaaS) model based on the cloud offerings provided by Amazon, one of the present...
Aram Verstegen,
Leif Nixon
(Linköping University),
Sven Gabriel
(Nikhef)
In this workshop the participants will take on the role as security teams being responsible for the operational security of simulated grid sites running in a virtualized environment.
The sites will face attacks very similar to those seen in real life. The teams' task is to respond to these attacks and keep their services up and running as far as possible.
A running score will be kept,...
Dr.
Nabil Abdennadher
(SwiNG)
Cloud&Grid Technologies
It’s well known that the developments environments used in Grid, Volunteer computing (VC) and Cloud are very different. The key differences between these three platforms are based on theoretical concepts as well as implementa¬tions.
The aim of this tutorial is to propose a set of concepts and tools used to bridge these three large-scale distributed systems: Grid, Cloud and Volunteer...
Christian Bernardt
(DESY),
Christoph Mitterer
(LMU),
Oleg Tsigenov
(Uni Aachen)
Big Data and Large Storage Systems
Christian Bernardt ( DESY)
Christoph Anton Mitterer (Ludwig Maximilian University of Munich)
Oleg Tsigenov (RWTH Aachen)
dCache is one of the most used storage solutions in the WLCG consisting of 94 PB of storage distributed world wide on 77 sites. Depending on the Persistency Model, dCache provides methods for exchanging data with backend (tertiary) Storage Systems as well as space...
Dr.
Jörg Meyer
(KIT), Dr.
Martin Heck
(KIT)
Effective programming and multi-core computing
The language C++ supports multiple programming paradigms and is often
the first choice for applications where performance matters. It is
widely being used by scientific communities including high energy
physics. The course covers basic software design patterns, simple best
practice rules, examples from the Standard Template Library, and
selected topics from object oriented and generic...
Sara Bertocco
(INFN)
Cloud&Grid Technologies
This gLite middleware administration workshop gives students a chance to
perform installation and configuration of some of the EMI compute components. The
goal of the workshop is to install a minimal Grid site using the EMI CREAM
Computing Element (CE) and a Worker Node (WN) using the PBS-Torque batch
system. Students will be shown how to install and configure these
services using...
Mr.
Felice Pantaleo
(University of Pisa)
Effective programming and multi-core computing
All computing systems, from mobile to supercomputers, are becoming heterogeneous parallel computers using both multi-core CPUs and many-thread GPUs for higher power efficiency and computation throughput.
While the computing community is racing to build tools and libraries to ease the use of these heterogeneous parallel computing systems, effective and confident use of these systems will...
Mr.
Thomas Hauth
(CERN)
Effective programming and multi-core computing
During this session, the participants will learn the basic concepts of multi-threaded programming. In particular, they will apply this paradigms to well known and widely used data-processing algorithms. Available software solutions will be introduced and specific functionalities they offer will be discussed. The second, hands-on part of this session will give the participants the opportunity...
Dr.
Jacek Generowicz
(CERN)
Effective programming and multi-core computing
Python is a high-level, dynamic, general-purpose programming language. It is remarkable for the clarity and expressive power it offers in exchange for a relatively low learning investment.
Python is designed to be extensible with low-level languages. SciPy is a collection of efficient tools for scientific programming, exposed as Python modules. Cython is a compiler for (an extended version...
Mario Lassnig
(CERN)
Big Data and Large Storage Systems
This session will be an introduction to relational and non-relational database management systems, with a hands-on approach.
1) Theory Session
Introduction to relational databases including terminology, relations, constraints, and operations.
2) Practice Session
Development of a simple application with a relational database backend using Python and SQLite.
3)...
Lorenzo Moneta
(CERN)
Effective programming and multi-core computing
The ROOT software framework provides all the functionality needed to store and analyze large amounts of data in an efficient way.
We will provide an introduction to the ROOT system and its tools for data analysis and visualisation.
The main features of ROOT such as histogramming, data visualization, object I/O and advanced statistical analysis techniques will be presented. We will also ...
