Joshua Wyatt Smith
(Georg-August-Universitaet Goettingen (DE))
2/29/16, 9:30 AM
Software becomes more complex as the project size and number of developers grow. As these two factors increase, so too does the potential for more errors in the code. Previous time and money can be wasted trying to track down bugs that could have been easily avoided should there have been a good workflow in place.
Continuous Integration (CI) is one such strategy that can...
Jiří Vyskočil
(Czech Technical University in Prague)
2/29/16, 1:45 PM
Large scale scientific computing raises questions on different levels ranging from the fomulation of the problems to the choice of the best algorithms and their implementation for a specific platform. There are similarities in these different topics that can be exploited by modern-style C++ template metaprogramming techniques to produce readable, maintainable and generic code. Traditional...
Daniel Martin Saunders
(University of Bristol (GB))
3/1/16, 9:00 AM
Particle physics experiments have always been at the forefront of big data experiments: the upgrade of the LHCb experiment will lead to data rates greater than 10Tb’s per second! This is key to the success of high-energy physics, where large data samples, sophisticated triggers and robust simulations have lead to observing and understanding extremely rare events, including the Higgs Boson. ...
Valentina Cairo
(Universita della Calabria (IT))
3/1/16, 10:00 AM
Detector simulation at the LHC is one of the most computing intensive activities. In these lectures we will show how physics requirements were met for the LHC experiments and extrapolate to future experiments (FCC-hh case).
At the LHC, detectors are complex, very precise and ambitious: this implies modern modelisation tools for geometry and response. Events are busy and characterised by an...
Jiří Vyskočil
(Czech Technical University in Prague)
3/1/16, 11:30 AM
Large scale scientific computing raises questions on different levels ranging from the fomulation of the problems to the choice of the best algorithms and their implementation for a specific platform. There are similarities in these different topics that can be exploited by modern-style C++ template metaprogramming techniques to produce readable, maintainable and generic code. Traditional...
Pedro Manuel Mendes Correia
(University of Aveiro (PT))
3/1/16, 4:30 PM
The recent developments in multithreading tools in C++, like OpenMP and TBB, taking advantage of the multicore architecture of the nowadays processors, allowed the creation and improvement of powerful softwares for scientific research. This talk will be focused on the development of such software for simulations, data acquisition and image reconstruction in Positron Emission Tomography, one of...
Daniel Martin Saunders
(University of Bristol (GB))
3/2/16, 9:00 AM
Particle physics experiments have always been at the forefront of big data experiments: the upgrade of the LHCb experiment will lead to data rates greater than 10Tb’s per second! This is key to the success of high-energy physics, where large data samples, sophisticated triggers and robust simulations have lead to observing and understanding extremely rare events, including the Higgs Boson. ...
Valentina Cairo
(Universita della Calabria (IT))
3/2/16, 10:00 AM
Detector simulation at the LHC is one of the most computing intensive activities. In these lectures we will show how physics requirements were met for the LHC experiments and extrapolate to future experiments (FCC-hh case).
At the LHC, detectors are complex, very precise and ambitious: this implies modern modelisation tools for geometry and response. Events are busy and characterised by an...
Jiří Vyskočil
(Czech Technical University in Prague)
3/2/16, 11:30 AM
Large scale scientific computing raises questions on different levels ranging from the fomulation of the problems to the choice of the best algorithms and their implementation for a specific platform. There are similarities in these different topics that can be exploited by modern-style C++ template metaprogramming techniques to produce readable, maintainable and generic code. Traditional...
Anastasios Andronidis
(University of Ioannina (GR))
3/2/16, 3:00 PM
Sometimes our job or even our interest to learn something new, requires from us to install a lot of different software to allow a specific program to run on our operating system. This (in the best case) might just prohibit your program to run due to conflicts between different library or language versions; in the worst case your operating system will start becoming full of junk and later on...
