TOP500

Ranking of the 500 most powerful supercomputers

Nº Q633765 ★★

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TOP500

Ranking of the 500 most powerful supercomputers

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.

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From Wikipedia

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. The most recent edition of TOP500 was published in June 2026. As of June 2026, China's LineShine is the most powerful supercomputer in the TOP500, reaching 2,198 petaFlops on the LINPACK benchmarks. As of submitted data until June 2026, the United States has the highest number of systems with 161 supercomputers; Japan is in second place with 44, and Germany is the third place with 41; the United States has by far the highest share of total computing power on the list (37.5%). Due to secrecy of the latest Chinese programs, publicly known supercomputer performance share in China represents only 2% that of global as of June 2025. The TOP500 list is compiled by Jack Dongarra of the University of Tennessee, Knoxville, Erich Strohmaier and Horst Simon of the National Energy Research Scientific Computing Center (NERSC) and Lawrence Berkeley National Laboratory (LBNL), and, until his death in 2014, Hans Meuer of the University of Mannheim, Germany. The TOP500 project also includes lists such as Green500 (measuring energy efficiency) and HPCG (measuring I/O bandwidth).

Text: Wikipédia, CC BY-SA 4.0. · Image: Raysonho @ Open Grid Scheduler / Scalable Grid Engine (CC0) ·

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