The supercomputer is a 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 then compting floating point operations per second is a measure of computer performance useful in the field of scientific computations that require floating point calculations for such cases it is a more accurate measure than measuring million instruction per second since 2017 there have existed supercomputers which can perform over 100 petaflops per comparison a desktop computer has performance in the range hundreds of gigaflops to tens of teraflops.
Supercomputers play an important role in the field of computational science and are used for a wide range of computationally intensive tasks in various fields including quantum mechanics weather forecasting climate research oil and gas exploration molecular modeling and physical simulations they have been essential in the field of cryptanalysis since November 2017 all of the world’s fastest 500 supercomputers is run Linux-based operating systems additional research is begin conducted in the United States the European Union Taiwan Japan and China to build faster more powerful and technological superior exascale supercomputers and today we are counting down top 10 fastest supercomputers in the world 2023.
The NCI the French national agency for high-performance computing and signs the national computing center for higher education together with Hewlett-Packard Enterprise and AD unveiled the acquisition of disaster supercomputers with a speed of 70 Peak petaflops the adapter systems will feature AMD epic CPUs and AMD instinct GPUs when it delivers and operational next year. The supercomputers will be based at the science data center in Montpelier France Ad Astra is Latin to the stars Francis Adastra is the second fastest system in Europe and the 10th fastest supercomputer in the world according to the latest top 500 list.
Tim3e to visit 61 petaflop supercomputers located in the National Supercomputer Centre in Guangzhou China. It was developed by a team of 1300 scientists and Engineers 9-2 air ranked as the nine fastest supercomputers in the world. According to Nutt, time 2 would have been used for simulation analysis and government security application but 16 000 computer nodes each comprising two intel IV Bridge Zen processors and three z and Phi co-processer chips had represented the world’s largest installation of IVY bridge and Zen flight chips counting a total of three million one hundred twenty thousand cores. The Matrix 2000 DPS accelerator came into being because the US government halted shipments of Intel’s info processors to China several years ago since they are being used for strategic military purposes rather than for General scientific research.
Selene supercomputers developed by Nvidia are capable of achieving 63.460 petaflops ranking as the fastest supercomputer in the world. Celine is based on the Nvidia dgx system consisting of AMD CPUs Nvidia a100 GPUs and Mellanox hdr networking Celine is based on the Nvidia dgx superpod which is a high-performance Turkey supercomputer solution provided by Nvidia using dgx hardware. The GX superpod is a tightly integrated system that combines high-performance dgx computer nodes with fast storage with high bandwidth networking it aims to provide a turnkey solution to high-demand machine learning workloads Celine was built in three months and is the fastest industrial system in the US while being the second most energy-efficient supercomputing systems ever Celine utilizing 1080 AMD epic CPUs and 4320a 100 GPUs is used to train brt the natural language processer in less than 60 seconds which usually takes most smaller systems about 20 minutes to execute Celine is developed by the Argonne National Laboratory to research different ways to end the coronavirus is has been used to tackle problems around the concepts of protein docking and quantum chemistry which are vital to developing an understanding of the coronavirus and a potential cure for it.
Perlmutter is a supercomputer scheduled to be delivered to the National Energy Research scientific computing center of the United States department of energy in the late 2020s as the successor to Corely it is being built by cray and is based on their upcoming Shasta architecture which is planned to utilize N3 based AMD epic CPUs and Next Generation Nvidia Tesla GPUs its intended use cases are nuclear fusion simulations climate projections and material and biological research perimeter reached 64 petaflops of processing power the system is the namesake of salt perimeter an astrophysicist at Berkeley lab who shared the 2011 Nobel Prize in physics for his contribution to research showing that the expansion of the universe is accelerating so it’s fitting that one of the initial use cases for the perimeter supercomputer will be in support of the Dark Energy spectroscopic instrument bezel which is probing the effect of dark energy on the universe’s expansion the perimeter system will help map a visible Universe spanning 111 billion light years by processing data from Desi which is capable of capturing as many as 5000 galaxies in a single exposure.
#. Sunway Taihulight
Sunway tahu light is a Chinese supercomputer which as of June 2023 is ranked sixth in the top 50o list with a lint-pack benchmark rating of 93 petaflops the name is translated as divine power the light of tahu Lake as of June 2017 it is ranked as the 16th most energy-efficient supercomputer in the green 500 with an efficiency of 6.051 gigaflops per watt it was designed by the National Research of Computer Parallel Computer Engineering and technology and is located at the national supercomputing center waxing the city of waxy and jagsa procaine China. The Sunway was the world’s fastest supercomputing for two years from June 2016 to June 2018. According to the top 500 lists, the system runs on its own operating system Sunway raising OS 2.0.5 which is based on Linux the system has its own customized implementation of open ACC Dade to parallelization of code.
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