SCHEDULE: NOV 10-16, 2012
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Asynchronous Computing for Partial Differential Equations at Extreme Scales
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Aditya Konduri, Diego A. Donzis
ROOM:East Entrance
ABSTRACT:
Advances in computing technology have made numerical simulations an indispensable research tool in the pursuit of understanding real life problems. Due to their complexity, these simulations demand massive computations with extreme levels of parallelism. At extreme scales, communication between processors could take up a substantial amount of time. This results in substantial waste in computing cycles, as processors remain idle for most of the time. We investigate a novel approach based on widely used finite-difference schemes in which computations are carried out in an asynchronous fashion---synchronization among cores is not enforced and computations proceed regardless of the status of messages. This drastically reduces idle times resulting in much larger computation rates and scalability. However, stability, consistency and accuracy have to be shown in order for these schemes to be viable. This is done through mathematical theory and numerical simulations. Results are used to design new numerical schemes robust to asynchronicity.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Aditya Konduri - Texas A&M University
Diego A. Donzis - Texas A&M University
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Asynchronous Computing for Partial Differential Equations at Extreme Scales
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Aditya Konduri, Diego A. Donzis
ROOM:East Entrance
ABSTRACT:
Advances in computing technology have made numerical simulations an indispensable research tool in the pursuit of understanding real life problems. Due to their complexity, these simulations demand massive computations with extreme levels of parallelism. At extreme scales, communication between processors could take up a substantial amount of time. This results in substantial waste in computing cycles, as processors remain idle for most of the time. We investigate a novel approach based on widely used finite-difference schemes in which computations are carried out in an asynchronous fashion---synchronization among cores is not enforced and computations proceed regardless of the status of messages. This drastically reduces idle times resulting in much larger computation rates and scalability. However, stability, consistency and accuracy have to be shown in order for these schemes to be viable. This is done through mathematical theory and numerical simulations. Results are used to design new numerical schemes robust to asynchronicity.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Aditya Konduri - Texas A&M University
Diego A. Donzis - Texas A&M University
Click here to download .ics calendar file