ENHANCEMENT OF INTEGRATED EARTHQUAKE SIMULATION WITH HIGH-PERFORMANCE COMPUTING

2011 ◽  
Vol 05 (03) ◽  
pp. 271-282 ◽  
Author(s):  
M. HORI ◽  
G. SOBHANINEJAD ◽  
T. ICHIMURA ◽  
M. LALITH
Keyword(s):  
High Performance Computing ◽  
Urban Areas ◽  
Numerical Experiments ◽  
High Performance ◽  
Earthquake Hazard ◽  
Hazard Map ◽  
Earthquake Simulation ◽  
Earthquake Damages ◽  
Performance Computing ◽  
Integrated Earthquake Simulation

Integrated earthquake simulation (IES) is a system to estimate possible earthquake hazard and disaster which can take place in an urban area by means of seamless numerical computation. High-performance computing (HPC) is enhanced so that IES is able to simulate a larger area in a shorter time, by improving the system architecture and adding new elements which smoothens the system's efficiency. It is shown in numerical experiments (which are carried out for actual urban areas) that the performance of IES enhanced with HPC is satisfactory. A new system is developed to generate a hazard map which depicts earthquake damages in higher spatial resolution by taking advantage of IES enhanced with HPC. It is shown that such maps can be generated for Tokyo metropolis in half a day.

scholarly journals Simulations of biomass dynamics in community food webs

2016 ◽  
Author(s):  
Eva Delmas ◽  
Ulrich Brose ◽  
Dominique Gravel ◽  
Daniel B. Stouffer ◽  
Timothée Poisot
Keyword(s):  
Food Webs ◽  
High Performance Computing ◽  
Numerical Experiments ◽  
High Performance ◽  
List Type ◽  
Dynamical Models ◽  
Reference Implementation ◽  
Biomass Dynamics ◽  
Energetic Model ◽  
Performance Computing

Food webs are the backbone upon which biomass flows through ecosystems. Dynamical models of biomass can reveal how the structure of food webs is involved in many key ecosystem properties, such as persistence, stability, etc.In this contribution, we present BioEnergeticFoodWebs, an implementation of Yodzis & Innes (1992) bio-energetic model, in the high-performance computing language Julia.We illustrate how this package can be used to conduct numerical experiments in a reproducible and standard way.A reference implementation of this widely used model will ease reproducibility and comparison of results across studies.

Processing methods and approaches for the analysis of images of the eclipsed solar corona taken during campaigns with the participation of amateur astronomers

2019 ◽  
Vol 15 (S367) ◽  
pp. 365-367
Author(s):  
A. Stoev ◽  
P. Stoeva ◽  
S. Kuzin ◽  
M. Kostov ◽  
A. Pertsov
Keyword(s):  
Solar Corona ◽  
High Performance Computing ◽  
High Power ◽  
Numerical Experiments ◽  
High Performance ◽  
Large Scale ◽  
Scientific Information ◽  
Computing Systems ◽  
Scientific Results ◽  
Performance Computing

AbstractThe increase in the amount of scientific information in heliophysics is related to both quantitative – increasing the number of high-power telescopes and the size of light receivers coupled to them, and qualitative reasons – new modes of observation, large-scale and multiple studies of the solar corona in different ranges, large-scale numerical experiments to simulate the evolution of various processes and formations, etc. The paper discusses the role and importance of methods for processing images of the solar corona, the store of obtained “raw” data and the need to access high-performance computing systems in order to obtain scientific results from the observational experiments, the need of international collaboration and access to the data in the era of increase in the amount of scientific information in heliophysics.

scholarly journals Application of High Performance Computing to Earthquake Hazard and Disaster Estimation in Urban Area

2018 ◽  
Vol 4 ◽  
Author(s):  
Muneo Hori ◽  
Tsuyoshi Ichimura ◽  
Lalith Wijerathne ◽  
Hideyuki Ohtani ◽  
Jiang Chen ◽  
...  
Keyword(s):  
High Performance Computing ◽  
Urban Area ◽  
High Performance ◽  
Earthquake Hazard ◽  
Performance Computing

The Recent Revolution in High Performance Computing

MRS Bulletin ◽  
1997 ◽  
Vol 22 (10) ◽  
pp. 5-6
Author(s):  
Horst D. Simon
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
New Technologies ◽  
New Technology ◽  
Parallel Architecture ◽  
Time Frame ◽  
Good News ◽  
Computing Industry ◽  
Time And Energy ◽  
Performance Computing

Recent events in the high-performance computing industry have concerned scientists and the general public regarding a crisis or a lack of leadership in the field. That concern is understandable considering the industry's history from 1993 to 1996. Cray Research, the historic leader in supercomputing technology, was unable to survive financially as an independent company and was acquired by Silicon Graphics. Two ambitious new companies that introduced new technologies in the late 1980s and early 1990s—Thinking Machines and Kendall Square Research—were commercial failures and went out of business. And Intel, which introduced its Paragon supercomputer in 1994, discontinued production only two years later.During the same time frame, scientists who had finished the laborious task of writing scientific codes to run on vector parallel supercomputers learned that those codes would have to be rewritten if they were to run on the next-generation, highly parallel architecture. Scientists who are not yet involved in high-performance computing are understandably hesitant about committing their time and energy to such an apparently unstable enterprise.However, beneath the commercial chaos of the last several years, a technological revolution has been occurring. The good news is that the revolution is over, leading to five to ten years of predictable stability, steady improvements in system performance, and increased productivity for scientific applications. It is time for scientists who were sitting on the fence to jump in and reap the benefits of the new technology.

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