SCHEDULE: NOV 10-16, 2012
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The Hashed Oct-Tree N-Body Algorithm at a Petaflop
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Michael S. Warren, Ben Bergen
ROOM:East Entrance
ABSTRACT:
Cosmological simulations are the cornerstone of theoretical analysis of large-scale structure. During the next few years, observational projects will measure the spatial distribution of large-scale structure in enormous volumes of space across billions of years of cosmic evolution. Advances in modeling must keep pace with observational advances if we are to understand the Universe which led
to these observations.
We have recently demonstrated our hashed oct-tree N-body code (HOT) scaling to 256k processors on Jaguar at Oak Ridge National Laboratory with a performance of 1.79 Petaflops (single precision) using 2 trillion particles. We have additionally performed preliminary studies with NVIDIA Fermi GPUs, achieving single GPU performance on our hexadecapole inner loop of 1 Tflop (single precision) and application performance speedup of 2x by offloading the most
computationally intensive part of the code to the GPU.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Michael S. Warren - Los Alamos National Laboratory
Ben Bergen - Los Alamos National Laboratory
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The Hashed Oct-Tree N-Body Algorithm at a Petaflop
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Michael S. Warren, Ben Bergen
ROOM:East Entrance
ABSTRACT:
Cosmological simulations are the cornerstone of theoretical analysis of large-scale structure. During the next few years, observational projects will measure the spatial distribution of large-scale structure in enormous volumes of space across billions of years of cosmic evolution. Advances in modeling must keep pace with observational advances if we are to understand the Universe which led
to these observations.
We have recently demonstrated our hashed oct-tree N-body code (HOT) scaling to 256k processors on Jaguar at Oak Ridge National Laboratory with a performance of 1.79 Petaflops (single precision) using 2 trillion particles. We have additionally performed preliminary studies with NVIDIA Fermi GPUs, achieving single GPU performance on our hexadecapole inner loop of 1 Tflop (single precision) and application performance speedup of 2x by offloading the most
computationally intensive part of the code to the GPU.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Michael S. Warren - Los Alamos National Laboratory
Ben Bergen - Los Alamos National Laboratory
Click here to download .ics calendar file