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Title: Mira: Argonne's 10-petaflops supercomputer

Abstract

Mira, Argonne's petascale IBM Blue Gene/Q system, ushers in a new era of scientific supercomputing at the Argonne Leadership Computing Facility. An engineering marvel, the 10-petaflops supercomputer is capable of carrying out 10 quadrillion calculations per second. As a machine for open science, any researcher with a question that requires large-scale computing resources can submit a proposal for time on Mira, typically in allocations of millions of core-hours, to run programs for their experiments. This adds up to billions of hours of computing time per year.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1133129
Resource Type:
Multimedia
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; MIRA; SUPERCOMPUTER; PETAFLOP; SUPERCOMPUTING; CALCULATIONS

Citation Formats

Papka, Michael, Coghlan, Susan, Isaacs, Eric, Peters, Mark, and Messina, Paul. Mira: Argonne's 10-petaflops supercomputer. United States: N. p., 2013. Web.
Papka, Michael, Coghlan, Susan, Isaacs, Eric, Peters, Mark, & Messina, Paul. Mira: Argonne's 10-petaflops supercomputer. United States.
Papka, Michael, Coghlan, Susan, Isaacs, Eric, Peters, Mark, and Messina, Paul. Wed . "Mira: Argonne's 10-petaflops supercomputer". United States. https://www.osti.gov/servlets/purl/1133129.
@article{osti_1133129,
title = {Mira: Argonne's 10-petaflops supercomputer},
author = {Papka, Michael and Coghlan, Susan and Isaacs, Eric and Peters, Mark and Messina, Paul},
abstractNote = {Mira, Argonne's petascale IBM Blue Gene/Q system, ushers in a new era of scientific supercomputing at the Argonne Leadership Computing Facility. An engineering marvel, the 10-petaflops supercomputer is capable of carrying out 10 quadrillion calculations per second. As a machine for open science, any researcher with a question that requires large-scale computing resources can submit a proposal for time on Mira, typically in allocations of millions of core-hours, to run programs for their experiments. This adds up to billions of hours of computing time per year.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 03 00:00:00 EDT 2013},
month = {Wed Jul 03 00:00:00 EDT 2013}
}

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