24-26 February 2016
SISSA, International School for Advanced Studies
Europe/Rome timezone
- info@mhpc.it
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Session:
MHPC and HPC trends
In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and r
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Presented by Jack DONGARRA
on
25 Feb 2016
at
09:45
Generali is one of the most consolidated insurance company in Europe, looking ahead for innovative product development and new markets across the world. In order to better serve business lines as well as to identify customer valuable products, Generali created the Group Chief Data Office function, whose mission is to define and implement strategies and methods to acquire, analyze and govern data.
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Presented by Dr. Alberto BRANCHESI
on
25 Feb 2016
at
14:30
Session:
HPC in Mathematics
Solving realistic, applied problems with the most modern numerical methods introduces many levels of complexity. In particular, one has to think about not just a single method, but a whole collection of algorithms: a single code may utilize fully adaptive, unstructured meshes; nonlinear, globalized solvers; algebraic multigrid and block preconditioners; and do all this on 1,000 processors or more
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Presented by Wolfgang BANGERTH
on
25 Feb 2016
at
15:45
Fincantieri is one of the leading ship design company in the world. In 2014 we deployed a HPC cluster that is mainly used to perform Computational Fluid Dynamics and Finite Element Analysis calculations. We equipped our cluster with a Citrix virtualization solution that allows our users to perform their pre-processing activities directly on a few reserved nodes on the cluster. CFD calculations are
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Presented by Dr. Gianluca GUSTIN, Dr. Giuseppe CHECHILE
on
25 Feb 2016
at
14:45
Session:
HPC in science
Quantum-mechanical simulations have become dominant and widely used tools for scientific discovery and technological advancement; since they are performed without any experimental input or parameter they can streamline, accelerate, or replace actual physical experiments. This is a far-reaching paradigm shift, substituting the cost- and time-scaling of brick-and-mortar facilities, equipment, and pe
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Presented by Nicola MARZARI
on
26 Feb 2016
at
08:45
Session:
HPC in science
The availability of cheap and abundant energy was one of the main drivers of the industrial revolution. Until today, energy remains an essential ingredient for many aspects of human activity. Is is recognized that a major challenge of our times is the transition towards sustainable energy conversion, moving away from carbon-based fossil fuels. Developing more efficient and cheaper ways to convert
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Presented by Ralph GEBAUER
on
26 Feb 2016
at
09:25
Session:
HPC in Mathematics
Life sciences could benefit immensely from the massive growth of HPC processing power occurred in the last ten years. Indeed, complex biological systems are described by sophisticated mathematical models, whose solution requires highly scalable solvers. In particular, for what concerns cardiac electrophysiology, the simulation of the electrical excitation of the heart muscle, and the subsequent c
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Presented by Piero COLLI FRANZONE
on
25 Feb 2016
at
16:45
Session:
HPC in Mathematics
The complex interaction between the cardiac bioelectrical and mechanical phenomena is modeled by a system of non-linear partial differential equations (PDEs), known as cardiac electro-mechanical coupling (EMC) model. Due to the extremely different spatial and temporal scales of the physical phenomena occurring during a single heartbeat, the discretization of the EMC model with finite elements in s
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Presented by Simone SCACCHI
on
25 Feb 2016
at
17:15
Session:
HPC in science
Multicenter numerical integration scheme for polyatomic molecules has been implemented as an initial step to develop a complete basis-set-free Hartree-Fock (HF) software. The validation of the integration scheme includes the integration of the total density and the calculation of Coulomb potentials for several diatomic molecules. A finite difference method is used to solve Poisson's equation for
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Presented by Mr. Fernando POSADA
on
26 Feb 2016
at
10:00
The aim of this work is the development of a computational ecosystem for nearly real-time inversion of high spectral resolution infrared data coming from meteorological satellites. The ecosystem has been developed as nearly real-time demonstration project to elaborate the level 2 products derived from MTG-IRS
Presented by Stefano PIANI
on
25 Feb 2016
at
15:00
Session:
HPC in science
This thesis presents two experiences of hybrid programming applied to condensed matter and high energy physics. The two projects differ in various aspects, but both of them aim to analyse the benefits of using accelerated hardware to speedup the calculations in current science-research scenarios.
The first project enables massively parallelism in a simulation of the Anderson localisation phe- n
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Presented by Jimmy AGUILAR MENA
on
26 Feb 2016
at
15:35
Session:
HPC in Mathematics
Whenever a mathematical problem admits a boundary integral representation, it can be straightforwardly discretised by Boundary Element Methods (BEM). In this work, we present an efficient hybrid parallel solver for FSI problems based on collocation BEM.
The major bottlenecks for a serial implementations of BEM is the computational cost and memory requirements needed to respectively assemble and
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Presented by Mr. Nicola GIULIANI
on
25 Feb 2016
at
16:25
Session:
HPC in science
SHYFEM is a finite element hydrodynamic code written by Georg Umgiesser in the 80s to model Venice lagoon for his master thesis; its development has been continued by CNR-ISMAR group. It is one of the few opensource codes for coastal areas that use a finite element approach. SHYFEM is a very important resource because it is focused on coastal areas and can be coupled it with other software in orde
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Presented by Eric PASCOLO
on
26 Feb 2016
at
11:55
Session:
HPC in science
We developed a parallel implementation of the “Density Peak” clustering algorithm, exploiting C++11, OpenMP and the FLANN library for k-nearest-neighbour search. The modified algorithm is approximately 50 times faster than the original version on datasets with half a million points, and scales almost linearly with the dataset size. Thanks to improvements on the density estimation and assignati
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Presented by Marco BORELLI
on
26 Feb 2016
at
09:45
Presented by Sandro SCANDOLO
on
25 Feb 2016
at
11:00
Presented by Filippo SPIGA
on
24 Feb 2016
at
17:00
Presented by Fabio AFFINITO
on
24 Feb 2016
at
16:15
Presented by Fabio AFFINITO
on
24 Feb 2016
at
14:15
Presented by Filippo SPIGA
on
24 Feb 2016
at
15:00
Session:
HPC in science
Numerical simulations on supercomputers play an ever more important role in astrophysics. They have become the tool of choice to predict the non-linear outcome of the initial conditions left behind by the Big Bang, providing crucial tests of cosmological theories. However, the problem of galaxy and star formation confronts us with a staggering multi-physics complexity and an enormous dynamic range
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Presented by Volker SPRINGEL
on
26 Feb 2016
at
10:45
Presented by Giuliano TAFFONI
on
25 Feb 2016
at
11:45
Presented by Donatella LUCCHESI
on
25 Feb 2016
at
12:00
Presented by Elisa MOLINARI
on
25 Feb 2016
at
11:30
The exponential growth of computation is very close to an evolutionary step in the way we use HPC extending and expanding the class of problems they can address. The ongoing digital transformation and software containerization are enabling the use of HPC s in most of the fields of human activities. The new digital hyperconnected world need HPC scientists and not just only Data Scientist.
Presented by Roberto SIAGRI
on
25 Feb 2016
at
14:00
Presented by Paolo GIANNOZZI
on
25 Feb 2016
at
11:15