Sunday, December 8, 2013

Two of the most powerful machines in the region are in Mexico .

Today being the world's most powerful supercomputer only guarantees you stay at number one for a few months . One year ago was the IBM Sequoia with 17,173 TeraFLOPS , subsequently exceeded XC30 Cray "Cascade " with 17,590 TeraFLOPS , which soon was relegated to second place ( and IBM in third place ) after the Chinese supercomputer Tianhe -2, the fastest in the world to date TeraFLOPS 33,862 .

In contrast , in Latin America the institutions that have supercomputers run at this rate no one can see through the initiative LARTop50 - which began in 2011 at the National University of San Luis in Argentina and seeks to maintain an updated list with statistics 50 most powerful supercomputers in Latin America - , who published the ranking of the fastest supercomputers in the region.

1. - Miztli
The fastest computer in Latin America is in Mexico , the National Autonomous University of Mexico (UNAM ) , and consists of a Hewlett Packard with Intel E5 -2670 processors whose 5,280 cores are capable of reaching a speed of about 80 TeraFLOPS .

Two . - CENAPAD -SP
The second place belongs to the computer at the National Center for High-Performance Processing in Brazil , an IBM machine with POWER7 processors , 1,280 cores , and reaching around 27 TeraFLOPS .

Three . - Levque
The third fastest computer in Latin America is in the Center for Mathematical Modeling , University of Chile, and is an IBM iDataPlex with Intel Xeon X5550 Nehalem and 528 cores that allow you reach 5 TeraFLOPS .

April . - Medusa
Like the first, the fourth is also found in Mexico , at the Center for Research in Optics and consists of a computer manufactured by Mexican Lufac Intel Xeon X5675 processors , 432 cores and a maximum speed of 5 TeraFLOPS .

May . - Isaac
The fifth fastest computer is in Argentina , at the National Atomic Energy Commission , and consists of a machine made by SIASA and Intel Xeon E5420 and Xeon X32207 , and thanks to its 644 cores reaches 2.9 TeraFLOPS .


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