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Speed read

Tóm lược đại ý quan trọng trong bài

  • 5. Tianhe-2 (Trung Quốc)
  • 4. Sunway TaihuLight (Trung Quốc)
  • 3. Sierra (US) 
  • 2. Summit (US)
  • 1. Fugaku (nhật bản)
  • nhật bản’s Fugaku supercomputer is world’s new #1
  • Fugaku’s ARM-based architecture is unique for a top-performing supercomputer
  • US national laboratories slip to second and third place

We’ve updated this popular article to reflect the most current ranking.

Peak performance within supercomputing is a constantly moving target. In fact, a supercomputer is defined as being any machine “that performs at or near
the currently highest operational rate.” The field is a continual battle to be the best. Those who achieve the top rank may only hang on to it for a fleeting moment.

Competition is what makes supercomputing so exciting, continually driving engineers to reach heights that were unimaginable only a few years ago. To celebrate this amazing technology, let’s take a look at the fastest computers as defined by computer ranking project
TOP500—and at what these machines are used for. 

5. Tianhe-2 (Trung Quốc)

Tianhe-2, whose name translates as “MilkyWay-2,” originally debuted as the world’s
#1 in June 2013. But despite upgrades over the years to 4,981,760 cores running at 61.4 petaFLOPS, it’s now just barely hanging on to a spot in the top five. Such is the fleeting glory of a modern supercomputer.

TOP500 reported that the machine, developed by the National University of Defense Technology (NUDT) in Trung Quốc, is intended mainly
for government security applications. This means that much of the work done by Tianhe-2 is kept secret, but if its processing power is anything to judge by, it must be working on some pretty important projects.

4. Sunway TaihuLight (Trung Quốc)

Also a former number one, Sunway TaihuLight dominated the list for two years after its debut in June năm nay. At that time, its 93.01 petaFLOPS and 10,649,000 cores made it the
world’s most powerful supercomputer by a wide margin, boasting more than five times the processing power of its nearest competitor (ORNL’s Titan) and nearly 19 times more cores.

But given the non-stop pace of technological advancement, no position is ever secure for long. TaihuLight ceded the top spot to competitors in June

Located at the National Supercomputing Center in Wuxi, Trung Quốc, TaihuLight’s creators are using the supercomputer for tasks ranging from
climate science to advanced manufacturing. It has also found success in marine forecasting, helping ships avoid rough seas and aiding offshore oil drilling.

Read more: How supercomputers are uniting the US and Trung Quốc

3. Sierra (US) 

Lawrence Livermore National Laboratory’s (LLNL) Sierra initially debuted at #3 on the June 2018 list with 71.6 petaFLOPS. Optimization later pushed the processing speed on its 1,572,480 cores to 94.6
petaFLOPS, earning it the #2 spot in November 2018. However, the ascension of a new number one in June 2020 pushes Sierra back to third position. 

Incorporating both IBM central processing units (CPUs) and NVIDIA graphics processing units (GPUs), Sierra is specifically designed for modeling and simulations essential for the
US National Nuclear Security Administration.

2. Summit (US)


Poised at the Summit. The US Department of Energy’s Oak Ridge National Laboratory (ORNL) in Tennessee slips to #2 after two years in first place. Courtesy ORNL.

As part of the US Department of Energy’s renewed commitment to supercomputing power, Oak Ridge National Laboratory’s (ORNL) Summit first claimed the #1 spot in June 2018, taking the top rank from Trung Quốc for the first time in 6 years. 

Since its debut on the June 2018 list, Summit improved its initial High Performance Linpack
(HPL) performance from 122.3 to the current 148.6 petaFLOPS. Unusually for such a high-performing machine, Summit also initially ranked third on the GreenTop500, which measures energy efficiency in supercomputers, though it has since dropped to ninth place.

A seven-thành viên team from ORNL won the 2018 Gordon Bell Prize for their deployment of
Summit to process genetic data in order to better understand how individuals develop chronic pain and respond to opioids. Summit is now playing a critical role in the global race to discover treatments and vaccines against COVID-19.

Read more: Investigating the opioid epidemic with the most powerful supercomputer in the world

1. Fugaku (nhật bản)

Jointly developed by RIKEN and Fujitsu, nhật bản’s Fugaku is the new number one fastest supercomputer in the world. nhật bản
has not had a system take the top spot since June 2011 when Fugaku’s predecessor, the K computer, debuted in first place. 

Boasting nearly 7.3 million cores and a speed of 415.5 petaFLOPS, Fugaku far outperforms previous #1 Summit’s 148.6 PetaFLOPS, bringing HPC technology one step closer to the promised exascale era. 

Fugaku is the first top-ranked system to be powered by ARM processors. Two other new features are hybrid memory cubes attached to each of
the processors, and a new iteration of the Tofu network that provides tight integration between all of the nodes in the system. 

The ARM-based architecture represents a dramatic shift in the type of compute traditionally employed in supercomputers. Its designers view its success as proof that there is still room for innovation in HPC. 

Installed at RIKEN Center for Computational Science (R-CCS) in Kobe, nhật bản, Fugaku is intended for applications that will address high-priority social and scientific issues. These include drug discovery, personalized medicine, weather and climate forecasting, clean energy development, and exploring the fundamental laws of the
universe. It is already being used in an experimental basis for COVID-19 research. Fugaku will begin full operation in April 2021. 

The race to possess the most powerful supercomputer never really ends. This friendly competition between countries has propelled a boom in processing power, and it doesn’t look like it’ll be slowing down anytime soon. With scientists using supercomputers for important projects such as curing debilitating diseases, we can only hope it will continue for years to come.

Read more about what’s next for supercomputers, beyond petascale:

  • The race to exascale
  • 3 reasons why quantum computing is closer than you think

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