In this paper we present an investigation about techniques and frameworks supporting in situ-visualization. With this term we mean that visualization is coupled with simulation and it occurs whilst the simulation is running. By coupling these together we can utilize the high performance computing for post processing, and we can circumvent the bottlenecks associated with storing and retrieving data in disk storage. Moreover it allows monitoring the simulation in-situ, performing not only visualization, but analysis of the incoming data as it is generated so that the simulation may be stopped or modified, thereby conserving CPU resources. In particular we have tested two techniques, by exploiting different visualization tools on two applicati...
The considerable interest in the high performance computing (HPC) community regarding analyzing and ...
Neuroscientists want to inspect the data their simulations are producing while these are still runni...
This work focuses on enabling the use of Python-based methods for the purpose of performing in situ ...
In situ visualization, i.e., visualizing simulation data as it is generated, is an emerging processi...
Coupling visualization and analysis software with simulation code is a resource-intensive task. As t...
International audienceReducing the amount of data stored by simulations will be of utmost importance...
Reducing the amount of data stored by simulations will be of utmost importance for the next generati...
Neuroscientists want to inspect the data their simulations are producing while these are still runni...
In situ visualization has become a popular method for avoiding the slowest component of many visuali...
As the capability of a supercomputer is improved, the sizes of simulation and its output data also b...
International audienceThe increasing gap between computational power and I/O performance in new supe...
Reducing the amount of data stored by simulations will be of utmost importance for the next generati...
International audienceThe amount of data generated by numerical simulations in various scientific do...
While many parallel visualization tools now provide in situ visualization capabilities, the trend ha...
International audienceNowadays, extreme-scale simulations are widely adopted in the study of modern ...
The considerable interest in the high performance computing (HPC) community regarding analyzing and ...
Neuroscientists want to inspect the data their simulations are producing while these are still runni...
This work focuses on enabling the use of Python-based methods for the purpose of performing in situ ...
In situ visualization, i.e., visualizing simulation data as it is generated, is an emerging processi...
Coupling visualization and analysis software with simulation code is a resource-intensive task. As t...
International audienceReducing the amount of data stored by simulations will be of utmost importance...
Reducing the amount of data stored by simulations will be of utmost importance for the next generati...
Neuroscientists want to inspect the data their simulations are producing while these are still runni...
In situ visualization has become a popular method for avoiding the slowest component of many visuali...
As the capability of a supercomputer is improved, the sizes of simulation and its output data also b...
International audienceThe increasing gap between computational power and I/O performance in new supe...
Reducing the amount of data stored by simulations will be of utmost importance for the next generati...
International audienceThe amount of data generated by numerical simulations in various scientific do...
While many parallel visualization tools now provide in situ visualization capabilities, the trend ha...
International audienceNowadays, extreme-scale simulations are widely adopted in the study of modern ...
The considerable interest in the high performance computing (HPC) community regarding analyzing and ...
Neuroscientists want to inspect the data their simulations are producing while these are still runni...
This work focuses on enabling the use of Python-based methods for the purpose of performing in situ ...