History of supercomputing

The term supercomputing arose in the late 1920s in the United States in response to the IBM tabulators at Columbia University. The CDC 6600, released in 1964, is sometimes considered the first supercomputer.[1][2] However, some earlier computers were considered supercomputers for their day such as the 1954 IBM NORC in the 1950s,[3] and in the early 1960s, the UNIVAC LARC (1960),[4] the IBM 7030 Stretch (1962), and the Manchester Atlas (1962), all of which were of comparable power.[5]

A Cray-1 supercomputer preserved at the Deutsches Museum

While the supercomputers of the 1980s used only a few processors, in the 1990s, machines with thousands of processors began to appear both in the United States and in Japan, setting new computational performance records.

By the end of the 20th century, massively parallel supercomputers with thousands of "off-the-shelf" processors similar to those found in personal computers were constructed and broke through the teraflop computational barrier.

Progress in the first decade of the 21st century was dramatic and supercomputers with over 60,000 processors appeared, reaching petaflop performance levels.

Beginnings: 1950s and 1960s

The term "Super Computing" was first used in the New York World in 1929 to refer to large custom-built tabulators that IBM had made for Columbia University.

In 1957, a group of engineers left Sperry Corporation to form Control Data Corporation (CDC) in Minneapolis, Minnesota. Seymour Cray left Sperry a year later to join his colleagues at CDC.[6] In 1960, Cray completed the CDC 1604, one of the first generation of commercially successful transistorized computers and at the time of its release, the fastest computer in the world.[7] However, the sole fully transistorized Harwell CADET was operational in 1951, and IBM delivered its commercially successful transistorized IBM 7090 in 1959.

The CDC 6600 with the system console

Around 1960, Cray decided to design a computer that would be the fastest in the world by a large margin. After four years of experimentation along with Jim Thornton, and Dean Roush and about 30 other engineers, Cray completed the CDC 6600 in 1964. Cray switched from germanium to silicon transistors, built by Fairchild Semiconductor, that used the planar process. These did not have the drawbacks of the mesa silicon transistors. He ran them very fast, and the speed of light restriction forced a very compact design with severe overheating problems, which were solved by introducing refrigeration, designed by Dean Roush.[8] The 6600 outperformed the industry's prior recordholder, the IBM 7030 Stretch, by a factor of three.[9][10] With performance of up to three megaFLOPS,[11][12] it was dubbed a supercomputer and defined the supercomputing market when two hundred computers were sold at $9 million each.[7][13]

The 6600 gained speed by "farming out" work to peripheral computing elements, freeing the CPU (Central Processing Unit) to process actual data. The Minnesota FORTRAN compiler for the machine was developed by Liddiard and Mundstock at the University of Minnesota and with it the 6600 could sustain 500 kiloflops on standard mathematical operations.[14] In 1968, Cray completed the CDC 7600, again the fastest computer in the world.[7] At 36 MHz, the 7600 had 3.6 times the clock speed of the 6600, but ran significantly faster due to other technical innovations. They sold only about 50 of the 7600s, not quite a failure. Cray left CDC in 1972 to form his own company.[7] Two years after his departure CDC delivered the STAR-100, which at 100 megaflops was three times the speed of the 7600. Along with the Texas Instruments ASC, the STAR-100 was one of the first machines to use vector processing – the idea having been inspired around 1964 by the APL programming language.[15][16]

The University of Manchester Atlas in January 1963.

In 1956, a team at Manchester University in the United Kingdom began development of MUSE – a name derived from microsecond engine – with the aim of eventually building a computer that could operate at processing speeds approaching one microsecond per instruction, about one million instructions per second.[17] Mu (the name of the Greek letter µ) is a prefix in the SI and other systems of units denoting a factor of 10−6 (one millionth).

At the end of 1958, Ferranti agreed to collaborate with Manchester University on the project, and the computer was shortly afterwards renamed Atlas, with the joint venture under the control of Tom Kilburn. The first Atlas was officially commissioned on 7 December 1962 – nearly three years before the Cray CDC 6600 supercomputer was introduced – as one of the world's first supercomputers. It was considered at the time of its commissioning to be the most powerful computer in the world, equivalent to four IBM 7094s. It was said that whenever Atlas went offline half of the United Kingdom's computer capacity was lost.[18] The Atlas pioneered virtual memory and paging as a way to extend its working memory by combining its 16,384 words of primary core memory with an additional 96K words of secondary drum memory.[19] Atlas also pioneered the Atlas Supervisor, "considered by many to be the first recognizable modern operating system".[18]

The Cray era: mid-1970s and 1980s
A Fluorinert-cooled Cray-2 supercomputer

Four years after leaving CDC, Cray delivered the 80 MHz Cray-1 in 1976, and it became the most successful supercomputer in history.[16][20] The Cray-1, which used integrated circuits with two gates per chip, was a vector processor. It introduced a number of innovations, such as chaining, in which scalar and vector registers generate interim results that can be used immediately, without additional memory references, which would reduce computational speed.[8][21] The Cray X-MP (designed by Steve Chen) was released in 1982 as a 105 MHz shared-memory parallel vector processor with better chaining support and multiple memory pipelines. All three floating point pipelines on the X-MP could operate simultaneously.[21] By 1983 Cray and Control Data were supercomputer leaders; despite its lead in the overall computer market, IBM was unable to produce a profitable competitor.[22]

The Cray-2, released in 1985, was a four-processor liquid cooled computer totally immersed in a tank of Fluorinert, which bubbled as it operated.[8] It reached 1.9 gigaflops and was the world's fastest supercomputer, and the first to break the gigaflop barrier.[23] The Cray-2 was a totally new design. It did not use chaining and had a high memory latency, but used much pipelining and was ideal for problems that required large amounts of memory.[21] The software costs in developing a supercomputer should not be underestimated, as evidenced by the fact that in the 1980s the cost for software development at Cray came to equal what was spent on hardware.[24] That trend was partly responsible for a move away from the in-house, Cray Operating System to UNICOS based on Unix.[24]

The Cray Y-MP, also designed by Steve Chen, was released in 1988 as an improvement of the X-MP and could have eight vector processors at 167 MHz with a peak performance of 333 megaflops per processor.[21] In the late 1980s, Cray's experiment on the use of gallium arsenide semiconductors in the Cray-3 did not succeed. Seymour Cray began to work on a massively parallel computer in the early 1990s, but died in a car accident in 1996 before it could be completed. Cray Research did, however, produce such computers.[20][8]

Massive processing: the 1990s

The Cray-2 which set the frontiers of supercomputing in the mid to late 1980s had only 8 processors. In the 1990s, supercomputers with thousands of processors began to appear. Another development at the end of the 1980s was the arrival of Japanese supercomputers, some of which were modeled after the Cray-1.

Rear of the Paragon cabinet showing the bus bars and mesh routers

The SX-3/44R was announced by NEC Corporation in 1989 and a year later earned the fastest-in-the-world title with a four-processor model.[25] However, Fujitsu's Numerical Wind Tunnel supercomputer used 166 vector processors to gain the top spot in 1994. It had a peak speed of 1.7 gigaflops per processor.[26][27] The Hitachi SR2201 obtained a peak performance of 600 gigaflops in 1996 by using 2,048 processors connected via a fast three-dimensional crossbar network.[28][29][30]

In the same timeframe the Intel Paragon could have 1,000 to 4,000 Intel i860 processors in various configurations, and was ranked the fastest in the world in 1993. The Paragon was a MIMD machine which connected processors via a high speed two-dimensional mesh, allowing processes to execute on separate nodes; communicating via the Message Passing Interface.[31] By 1995, Cray was also shipping massively parallel systems, e.g. the Cray T3E with over 2,000 processors, using a three-dimensional torus interconnect.[32][33]

The Paragon architecture soon led to the Intel ASCI Red supercomputer in the United States, which held the top supercomputing spot to the end of the 20th century as part of the Advanced Simulation and Computing Initiative. This was also a mesh-based MIMD massively-parallel system with over 9,000 compute nodes and well over 12 terabytes of disk storage, but used off-the-shelf Pentium Pro processors that could be found in everyday personal computers. ASCI Red was the first system ever to break through the 1 teraflop barrier on the MP-Linpack benchmark in 1996; eventually reaching 2 teraflops.[34]

Petascale computing in the 21st century
Main article: Petascale computing
A Blue Gene/P supercomputer at Argonne National Laboratory

Significant progress was made in the first decade of the 21st century. The efficiency of supercomputers continued to increase, but not dramatically so. The Cray C90 used 500 kilowatts of power in 1991, while by 2003 the ASCI Q used 3,000 kW while being 2,000 times faster, increasing the performance per watt 300 fold.[35]

In 2004, the Earth Simulator supercomputer built by NEC at the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) reached 35.9 teraflops, using 640 nodes, each with eight proprietary vector processors.[36]

The IBM Blue Gene supercomputer architecture found widespread use in the early part of the 21st century, and 27 of the computers on the TOP500 list used that architecture. The Blue Gene approach is somewhat different in that it trades processor speed for low power consumption so that a larger number of processors can be used at air cooled temperatures. It can use over 60,000 processors, with 2048 processors "per rack", and connects them via a three-dimensional torus interconnect.[37][38]

Progress in China has been rapid, in that China placed 51st on the TOP500 list in June 2003, then 14th in November 2003, and 10th in June 2004 and then 5th during 2005, before gaining the top spot in 2010 with the 2.5 petaflop Tianhe-I supercomputer.[39][40]

In July 2011, the 8.1 petaflop Japanese K computer became the fastest in the world, using over 60,000 SPARC64 VIIIfx processors housed in over 600 cabinets. The fact that the K computer is over 60 times faster than the Earth Simulator, and that the Earth Simulator ranks as the 68th system in the world seven years after holding the top spot, demonstrates both the rapid increase in top performance and the widespread growth of supercomputing technology worldwide.[41][42][43] By 2014, the Earth Simulator had dropped off the list and by 2018 the K computer had dropped out of the top 10. By 2018, Summit had become the world's most powerful supercomputer, at 200 petaFLOPS. In 2020, the Japanese once again took the top spot with the Fugaku supercomputer, capable of 442 PFLOPS.

Historical TOP500 table
For a more comprehensive list, see List of fastest computers.

This is a list of the computers which appeared at the top of the TOP500 list since 1993.[44] The "Peak speed" is given as the "Rmax" rating.

Rapid growth of supercomputers performance, based on data from top500.org site. The logarithmic y-axis shows performance in GFLOPS.
  Combined performance of 500 largest supercomputers
  Fastest supercomputer
  Supercomputer in 500th place
YearSupercomputerPeak speed
(Rmax)		Power efficiency
(GFLOPS per Watt)		Location
1993 Fujitsu Numerical Wind Tunnel 124.50 GFLOPS National Aerospace Laboratory, Tokyo, Japan
1993 Intel Paragon XP/S 140 143.40 GFLOPS DoE-Sandia National Laboratories, New Mexico, USA
1994 Fujitsu Numerical Wind Tunnel 170.40 GFLOPS National Aerospace Laboratory, Tokyo, Japan
1996 Hitachi SR2201/1024 220.40 GFLOPS University of Tokyo, Japan
Hitachi CP-PACS/2048 368.20 GFLOPS University of Tsukuba, Tsukuba, Japan
1997 Intel ASCI Red/9152 1.338 TFLOPS DoE-Sandia National Laboratories, New Mexico, USA
1999 Intel ASCI Red/9632 2.3796 TFLOPS
2000 IBM ASCI White 7.226 TFLOPS DoE-Lawrence Livermore National Laboratory, California, USA
2002 NEC Earth Simulator 35.860 TFLOPS Earth Simulator Center, Yokohama, Japan
2004 IBM Blue Gene/L 70.720 TFLOPS DoE/IBM Rochester, Minnesota, USA
2005 136.800 TFLOPS DoE/U.S. National Nuclear Security Administration,
Lawrence Livermore National Laboratory, California, USA
280.600 TFLOPS
2007 478.200 TFLOPS
2008 IBM Roadrunner 1.026 PFLOPS DoE-Los Alamos National Laboratory, New Mexico, USA
1.105 PFLOPS 0.445
2009 Cray Jaguar 1.759 PFLOPS DoE-Oak Ridge National Laboratory, Tennessee, USA
2010 Tianhe-IA 2.566 PFLOPS 0.635 National Supercomputing Center, Tianjin, China
2011 Fujitsu K computer 10.510 PFLOPS 0.825 Riken, Kobe, Japan
2012 IBM Sequoia 16.320 PFLOPS Lawrence Livermore National Laboratory, California, USA
2012 Cray Titan 17.590 PFLOPS Oak Ridge National Laboratory, Tennessee, USA
2013 NUDT Tianhe-2 33.860 PFLOPS 2.215 Guangzhou, China
2016 Sunway TaihuLight 93.010 PFLOPS 6.051 Wuxi, China
2018 IBM Summit 122.300 PFLOPS 14.668 DoE-Oak Ridge National Laboratory, Tennessee, USA
2020 Fugaku 415.530 PFLOPS 15.418 Riken, Kobe, Japan
2021-2022 Frontier >1.1 EFLOPS Oak Ridge Leadership Computing Facility, AMD, USA
2022 Dojo >1 AI EFLOPS Tesla, USA
2022-2023 Aurora >2 EFLOPS Intel, Cray, Argonne National Laboratory, USA
2022-2023 AI Research SuperCluster 5 AI EFLOPS Meta Platforms, USA
2023 Venado >10 AI EFLOPS Nvidia, Los Alamos National Laboratory, USA
2023 Helios >1 AI EFLOPS Nvidia, USA

Export controls

The CoCom and its later replacement, the Wassenaar Arrangement, legally regulated, i.e. required licensing and approval and record-keeping; or banned entirely, the export of high-performance computers (HPCs) to certain countries. Such controls have become harder to justify, leading to loosening of these regulations. Some have argued these regulations were never justified.[45][46][47][48][49][50]

See also


References
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