APS March Meeting 2010 
Volume 55, Number 2
Monday–Friday, March 15–19, 2010;
Portland, Oregon
Session V6: The Impact of Large Scale Computing on Research in Physics
8:00 AM–11:00 AM, 
Thursday, March 18, 2010
Room: Portland Ballroom 253
Sponsoring
Unit: 
DCOMP
Chair: Barry Schneider, National Science Foundation
Abstract ID: BAPS.2010.MAR.V6.1
Abstract: V6.00001 : Challenges for Large Scale Simulations
8:00 AM–8:36 AM
Preview Abstract
  
Abstract   
Author:
Matthias Troyer
(ETH Zurich)
With computational approaches becoming ubiquitous the growing impact of large 
scale computing on research influences both theoretical and experimental work. I 
will review a few examples in condensed matter physics and quantum optics, 
including the impact of computer simulations in the search for supersolidity, 
thermometry in ultracold quantum gases, and the challenging search for novel 
phases in strongly correlated electron systems. While only a decade ago such 
simulations needed the fastest supercomputers, many simulations can now be 
performed on small workstation clusters or even a laptop: what was previously 
restricted to a few experts can now potentially be used by many. Only part of the 
gain in computational capabilities is due to Moore's law and improvement in 
hardware. Equally impressive is the performance gain due to new algorithms - as I 
will illustrate using some recently developed algorithms. At the same time modern 
peta-scale supercomputers offer unprecedented computational power and allow us 
to tackle new problems and address questions that were impossible to solve 
numerically only a few years ago. While there is a roadmap for future hardware 
developments to exascale and beyond, the main challenges are on the algorithmic 
and software infrastructure side. Among the problems that face the computational 
physicist are: the development of new algorithms that scale to thousands of cores 
and beyond, a software infrastructure that lifts code development to a higher level 
and speeds up the development of new simulation programs for large scale 
computing machines, tools to analyze the large volume of data obtained from such 
simulations, and as an emerging field provenance-aware software that aims for 
reproducibility of the complete computational workflow from model parameters to 
the final figures. Interdisciplinary collaborations and collective efforts will be 
required, in contrast to the cottage-industry culture currently present in many areas 
of computational condensed matter physics.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2010.MAR.V6.1