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The Top 10 Fastest Supercomputers Systems

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Words: 493 |

Page: 1|

3 min read

Published: Jan 4, 2019

Words: 493|Page: 1|3 min read

Published: Jan 4, 2019

Every six months, the world’s Top 500 supercomputers are evaluated by running the Linpack Benchmark program over very large data sets. The ranking varies from year to year, similar to a competition. In this section, we will analyze the historical share in architecture, speed, operating systems, countries, and applications over time. In addition, we will compare the top 10 fastest systems in November 2017.

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1st - Sunway TaihuLight, with a High Performance Linpack (HPL) mark of 93.01 petaflops, maintains its number one ranking for the fourth time. It is developed by China’s National Research Center of Parallel Computer Engineering & Technology (NRCPC), and installed at the National Supercomputing Center in Wuxi,

2 -Tianhe-2 (Milky Way-2), a system developed by China’s National University of Defense Technology (NUDT) and deployed at the National Supercomputer Center in Guangzho, China, is still the number two system at 33.86 petaflops

3rd - Piz Daint, a super computer in Europe maintains its number three position with 19.59 petaflops, reaffirming its status it is a Cray XC50 system installed at the Swiss National Supercomputing Centre (CSCS) in Lugano, Switzerland it was upgraded last year with NVIDIA Tesla P100 GPUs, which more than doubled its HPL performance of 9.77 petaflops.

4th - The Gyoukou supercomputer with a ZettaScaler-2.2 system deployed at Japan’s Agency for Marine-Earth Science and Technology, which was the home of the Earth Simulator. HPL result of 19.14 petaflops achieved by using PEZY-SC2 accelerators, along with conventional Intel Xeon processors.

5th -Titan, a five-year-old Cray XK7 system installed at the Department of Energy’s (DOE) Oak Ridge National Laboratory, and still the largest system in the US, slips down to number five. Its NVIDIA K20x GPU accelerators results in 17.59 petaflops.

6th - Sequoia, an IBM BlueGene/Q system installed at DOE’s Lawrence Livermore National Laboratory, is the number six system on the list with a mark of 17.17 petaflops. It was deployed in 2011.

7th - The new number seven system is Trinity is operated by Los Alamos National Laboratory and Sandia National Laboratories it is a Cray XC40 supercomputer. It was recently upgraded with Intel “Knights Landing” Xeon Phi processors, which propelled it from 8.10 petaflops six months ago to its current high-water mark of 14.14 petaflops.

8th - Cori, installed at the National Energy Research Scientific Computing Center (NERSC) is a Cray XC40 supercomputer, is now the eighth fastest supercomputer in the world. Its 1,630 Intel Xeon “Haswell” processor nodes and 9,300 Intel Xeon Phi 7250 nodes yielded an HPL result of 14.01 petaflops.

9th - Oakforest-PACS, installed at Joint Center for Advanced High Performance Computing in Japan, it is a Fujitsu PRIMERGY CX1640 M1 system, ranks at number nine. It is also powered by Intel “Knights Landing” Xeon Phi processors which gives 13.55 petaflops,.

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10th - Fujitsu’s K computer installed at the RIKEN Advanced Institute for Computational Science (AICS) in Kobe, Japan, is now the number 10 system at 10.51 petaflops. Its performance is derived from its 88 thousand SPARC64 processor cores linked by Fujitsu’s Tofu interconnect.

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The top 10 fastest supercomputers systems. (2019, January 03). GradesFixer. Retrieved April 20, 2024, from https://gradesfixer.com/free-essay-examples/the-top-10-fastest-supercomputers-systems/
“The top 10 fastest supercomputers systems.” GradesFixer, 03 Jan. 2019, gradesfixer.com/free-essay-examples/the-top-10-fastest-supercomputers-systems/
The top 10 fastest supercomputers systems. [online]. Available at: <https://gradesfixer.com/free-essay-examples/the-top-10-fastest-supercomputers-systems/> [Accessed 20 Apr. 2024].
The top 10 fastest supercomputers systems [Internet]. GradesFixer. 2019 Jan 03 [cited 2024 Apr 20]. Available from: https://gradesfixer.com/free-essay-examples/the-top-10-fastest-supercomputers-systems/
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