Mira (supercomputer)

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Mira
Mira - Blue Gene Q at Argonne National Laboratory - Skin.jpg
Operators USDOE/SC/Argonne National Laboratory
Location Argonne National Laboratory
ArchitectureIBM BG/Q
5D Torus Interconnect configuration
786,432 cores
Power3.9 MW
Operating system CNK [1]
Space1,632 sq feet
Memory768  TiB
Speed8.59 petaFLOPS (LINPACK)
10.06 petaFLOPS theoretical peak
Ranking TOP500 : 22, 2019-11
Purpose Cosmology, Astronomy, lattice quantum chromodynamics, Nuclear reactor engineering, Material science, Weather, Climatology, Seismology, Biology, Computational chemistry, Computer science
LegacyRanked 3 on TOP500 when built.
Website www.alcf.anl.gov/user-guides/mira-cetus-vesta

Mira is a retired petascale Blue Gene/Q supercomputer. As of November 2017, it is listed on TOP500 as the 11th fastest supercomputer in the world, [2] while it debuted June 2012 in 3rd place. It has a performance of 8.59 petaflops (LINPACK) and consumes 3.9 MW. [3] The supercomputer was constructed by IBM for Argonne National Laboratory's Argonne Leadership Computing Facility with the support of the United States Department of Energy, and partially funded by the National Science Foundation. [4] Mira was used for scientific research, including studies in the fields of material science, climatology, seismology, and computational chemistry. [5] The supercomputer was used initially for sixteen projects selected by the Department of Energy. [6]

Contents

The Argonne Leadership Computing Facility, which commissioned the supercomputer, was established by the America COMPETES Act, signed by President Bush in 2007, and President Obama in 2011. [5] The United States' emphasis on supercomputing was seen as a response to China's progress in the field. China's Tianhe-1A, located at the Tianjin National Supercomputer Center, was ranked the most powerful supercomputer in the world from October 2010 to June 2011. [4] Mira is, along with IBM Sequoia and Blue Waters, one of three American petascale supercomputers deployed in 2012. [4] The cost for building Mira has not been released by IBM. Early reports estimated that construction would cost US$50 million, [7] and Argonne National Laboratory announced that Mira was bought using money from a grant of US$180 million. [4] In a press release, IBM marketed the supercomputer's speed, claiming that "if every man, woman and child in the United States performed one calculation each second, it would take them almost a year to do as many calculations as Mira will do in one second". [8]

One of the applications

"Argonne scientists used Mira to identify and improve a new mechanism for eliminating friction, which fed into the development of a hybrid material that exhibited superlubricity at the macroscale for the first time [..] simulating up to 1.2 million atoms for dry environments and up to 10 million atoms for humid environments [..] The researchers used the LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) code to carry out the computationally demanding reactive molecular dynamics simulations. [.. A] team of computational scientists [..] were able to overcome a performance bottleneck with the code's ReaxFF module, an add-on package that was needed to model the chemical reactions occurring in the system. [.. The team] optimized LAMMPS and its implementation of ReaxFF by adding OpenMP threading, replacing MPI point-to-point communication with MPI collectives in key algorithms, and leveraging MPI I/O. Altogether, these enhancements allowed the code to perform twice as fast as before." [9]

"The research team is in the process of seeking a patent for the hybrid material, which could potentially be used for applications in dry environments, such as computer hard drives, wind turbine gears, and mechanical rotating seals for microelectromechanical and nanoelectromechanical systems." [9]

Related Research Articles

<span class="mw-page-title-main">Supercomputer</span> Type of extremely powerful computer

A supercomputer is a type of computer with a high level of performance as compared to a general-purpose computer. The performance of a supercomputer is commonly measured in floating-point operations per second (FLOPS) instead of million instructions per second (MIPS). Since 2022, supercomputers have existed which can perform over 1018 FLOPS, so called exascale supercomputers. For comparison, a desktop computer has performance in the range of hundreds of gigaFLOPS (1011) to tens of teraFLOPS (1013). Since November 2017, all of the world's fastest 500 supercomputers run on Linux-based operating systems. Additional research is being conducted in the United States, the European Union, Taiwan, Japan, and China to build faster, more powerful and technologically superior exascale supercomputers.

Floating point operations per second is a measure of computer performance in computing, useful in fields of scientific computations that require floating-point calculations.

<span class="mw-page-title-main">IBM Blue Gene</span> Series of supercomputers by IBM

Blue Gene was an IBM project aimed at designing supercomputers that can reach operating speeds in the petaFLOPS (PFLOPS) range, with low power consumption.

<span class="mw-page-title-main">Roadrunner (supercomputer)</span> Former supercomputer built by IBM

Roadrunner was a supercomputer built by IBM for the Los Alamos National Laboratory in New Mexico, USA. The US$100-million Roadrunner was designed for a peak performance of 1.7 petaflops. It achieved 1.026 petaflops on May 25, 2008, to become the world's first TOP500 LINPACK sustained 1.0 petaflops system.

MDGRAPE-3 is an ultra-high performance petascale supercomputer system developed by the Riken research institute in Japan. It is a special purpose system built for molecular dynamics simulations, especially protein structure prediction.

<span class="mw-page-title-main">TOP500</span> Database project devoted to the ranking of computers

The TOP500 project ranks and details the 500 most powerful non-distributed computer systems in the world. The project was started in 1993 and publishes an updated list of the supercomputers twice a year. The first of these updates always coincides with the International Supercomputing Conference in June, and the second is presented at the ACM/IEEE Supercomputing Conference in November. The project aims to provide a reliable basis for tracking and detecting trends in high-performance computing and bases rankings on HPL benchmarks, a portable implementation of the high-performance LINPACK benchmark written in Fortran for distributed-memory computers.

<span class="mw-page-title-main">Blue Waters</span> Supercomputer at the University of Illinois at Urbana-Champaign, United States

Blue Waters was a petascale supercomputer operated by the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. On August 8, 2007, the National Science Board approved a resolution which authorized the National Science Foundation to fund "the acquisition and deployment of the world's most powerful leadership-class supercomputer." The NSF awarded $208 million for the Blue Waters project.

<span class="mw-page-title-main">JUGENE</span> Former supercomputer in Germany

JUGENE was a supercomputer built by IBM for Forschungszentrum Jülich in Germany. It was based on the Blue Gene/P and succeeded the JUBL based on an earlier design. It was at the introduction the second fastest computer in the world, and the month before its decommissioning in July 2012 it was still at the 25th position in the TOP500 list. The computer was owned by the "Jülich Supercomputing Centre" (JSC) and the Gauss Centre for Supercomputing.

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IBM Sequoia was a petascale Blue Gene/Q supercomputer constructed by IBM for the National Nuclear Security Administration as part of the Advanced Simulation and Computing Program (ASC). It was delivered to the Lawrence Livermore National Laboratory (LLNL) in 2011 and was fully deployed in June 2012. Sequoia was dismantled in 2020, its last position on the top500.org list was #22 in the November 2019 list.

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Exascale computing refers to computing systems capable of calculating at least "1018 IEEE 754 Double Precision (64-bit) operations (multiplications and/or additions) per second (exaFLOPS)"; it is a measure of supercomputer performance.

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<span class="mw-page-title-main">K computer</span> Supercomputer in Kobe, Japan

The K computer – named for the Japanese word/numeral "kei" (京), meaning 10 quadrillion (1016) – was a supercomputer manufactured by Fujitsu, installed at the Riken Advanced Institute for Computational Science campus in Kobe, Hyōgo Prefecture, Japan. The K computer was based on a distributed memory architecture with over 80,000 compute nodes. It was used for a variety of applications, including climate research, disaster prevention and medical research. The K computer's operating system was based on the Linux kernel, with additional drivers designed to make use of the computer's hardware.

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Several centers for supercomputing exist across Europe, and distributed access to them is coordinated by European initiatives to facilitate high-performance computing. One such initiative, the HPC Europa project, fits within the Distributed European Infrastructure for Supercomputing Applications (DEISA), which was formed in 2002 as a consortium of eleven supercomputing centers from seven European countries. Operating within the CORDIS framework, HPC Europa aims to provide access to supercomputers across Europe.

<span class="mw-page-title-main">Yellowstone (supercomputer)</span>

Yellowstone was the inaugural supercomputer at the NCAR-Wyoming Supercomputing Center (NWSC) in Cheyenne, Wyoming. It was installed, tested, and readied for production in the summer of 2012. The Yellowstone supercomputing cluster was decommissioned on December 31, 2017, being replaced by its successor Cheyenne.

<span class="mw-page-title-main">Supercomputer architecture</span> Design of high-performance computers

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<span class="mw-page-title-main">Summit (supercomputer)</span> Supercomputer developed by IBM

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References

  1. "IBM System Blue Gene Solution Blue Gene/Q Application Development". IBM . Retrieved 24 March 2014.
  2. "November 2017". TOP500 Project. Retrieved 15 November 2017.
  3. "Mira - BlueGene/Q, Power BQC 16C 1.60GHz, Custom". TOP500. Retrieved 23 August 2012.
  4. 1 2 3 4 Jackson, Joab (8 February 2012). "United States Commissions Beefy IBM Supercomputer". PC World . Retrieved 23 August 2012.
  5. 1 2 Wait, Patience (31 July 2012). "National Lab Replaces Supercomputer With Newer, Faster Model". InformationWeek . Retrieved 23 August 2012.
  6. NP, Ullekh (1 May 2011). "MIRA: World's fastest supercomputer". Economic Times . Archived from the original on February 22, 2014. Retrieved 23 August 2012.
  7. Alexander, Steve (14 February 2011). "IBM's Mira will have super speed". The Journal Gazette. Retrieved 23 August 2012.
  8. Murph, Darren (9 February 2012). "IBM's Mira supercomputer does ten petaflops with ease, inches us closer to exascale-class computing". Engadget . Retrieved 23 August 2012.
  9. 1 2 "Simulations lead to design of near-frictionless material".