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82-490: The term " Super Computing " was used by the New York World newspaper in 1931 to refer to a large custom-built tabulator that IBM made for Columbia University . The 1880 census had taken eight years to process. Since the U.S. Constitution mandates a census every ten years to apportion both congressional representatives and direct taxes among the states , a combination of larger staff and faster-recording systems

164-506: A massively parallel processing architecture, with 514 microprocessors , including 257 Zilog Z8001 control processors and 257 iAPX 86/20 floating-point processors . It was mainly used for rendering realistic 3D computer graphics . Fujitsu's VPP500 from 1992 is unusual since, to achieve higher speeds, its processors used GaAs , a material normally reserved for microwave applications due to its toxicity. Fujitsu 's Numerical Wind Tunnel supercomputer used 166 vector processors to gain

246-412: A character impulse was to be printed; the wheel then rotated in two steps. the first step rotated each wheel to one of 12 groups of characters based on the digit impulse associated with that print position. Digit impulses included the digits 1 through 9 (in reverse order), the 8-3 and 8-4 combination punches and a group (N) for no digit impulse. One of four characters in each group was then selected based on

328-566: A desktop computer has performance in the range of hundreds of gigaFLOPS (10 ) to tens of teraFLOPS (10 ). Since November 2017, all of the world's fastest 500 supercomputers run on Linux -based operating systems. Additional research is being conducted in the United States, the European Union, Taiwan, Japan, and China to build faster, more powerful and technologically superior exascale supercomputers. Supercomputers play an important role in

410-417: A dial divided into 100 divisions, with two indicator hands; one which stepped one unit with each counting pulse, the other which advanced one unit every time the other dial made a complete revolution. This arrangement allowed a count of up to 9,999. During a given tabulating run, counters could be assigned to a specific hole or, by using relay logic , to a combination of holes, e.g. to count married couples. If

492-588: A fifth company, the Computing-Tabulating-Recording Company (CTR). The Powers Accounting Machine Company was formed that same year and, like Hollerith, with machines first developed at the Census Bureau. In 1919 the first Bull tabulator prototype was developed. Tabulators that could print, and with removable control panels, appeared in the 1920s. In 1924 CTR was renamed International Business Machines (IBM). In 1927 Remington Rand acquired

574-453: A high performance I/O system to achieve high levels of performance. Since 1993, the fastest supercomputers have been ranked on the TOP500 list according to their LINPACK benchmark results. The list does not claim to be unbiased or definitive, but it is a widely cited current definition of the "fastest" supercomputer available at any given time. This is a list of the computers which appeared at

656-659: A larger system such as a full Linux distribution on server and I/O nodes. While in a traditional multi-user computer system job scheduling is, in effect, a tasking problem for processing and peripheral resources, in a massively parallel system, the job management system needs to manage the allocation of both computational and communication resources, as well as gracefully deal with inevitable hardware failures when tens of thousands of processors are present. Although most modern supercomputers use Linux -based operating systems, each manufacturer has its own specific Linux distribution, and no industry standard exists, partly due to

738-492: A long line of IBM tabulating machines dating back to the days of Herman Hollerith . It had a card reader and printer; a summary punch could be attached. Processing was directed by a control panel . The 407 was the central component of many unit record equipment shops which were the mainstay of IBM's business at the time. It could print digits, letters and several special characters in any of 120 print positions, spaced 0.1 inches apart (2.5 mm). IBM stopped marketing

820-495: A lot of capacity but are not typically considered supercomputers, given that they do not solve a single very complex problem. In general, the speed of supercomputers is measured and benchmarked in FLOPS (floating-point operations per second), and not in terms of MIPS (million instructions per second), as is the case with general-purpose computers. These measurements are commonly used with an SI prefix such as tera- , combined into

902-413: A matrix of 43 by 52 holes, most of which were assigned. The 407 was available in a model that could read 100 cards per minute, and one reading 150 cards per minute. The former had a relay which would inhibit every third card feed cycle (giving the machine a characteristic "shrink-shrink-thunk" sound). It was possible to insert a folded card between that relay's contacts to " overclock " the slower model to

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984-472: A processing power of over 166 petaFLOPS through over 762 thousand active Computers (Hosts) on the network. As of October 2016 , Great Internet Mersenne Prime Search 's (GIMPS) distributed Mersenne Prime search achieved about 0.313 PFLOPS through over 1.3 million computers. The PrimeNet server has supported GIMPS's grid computing approach, one of the earliest volunteer computing projects, since 1997. Quasi-opportunistic supercomputing

1066-483: A single large problem in the shortest amount of time. Often a capability system is able to solve a problem of a size or complexity that no other computer can, e.g. a very complex weather simulation application. Capacity computing, in contrast, is typically thought of as using efficient cost-effective computing power to solve a few somewhat large problems or many small problems. Architectures that lend themselves to supporting many users for routine everyday tasks may have

1148-471: A speed of 150 cards per minute and listed alphanumerical data at 80 cards per minute. IBM 405: Introduced in 1934, the 405 Alphabetical Accounting Machine was the basic bookkeeping and accounting machine marketed by IBM for many years. Important features were expanded adding capacity, greater flexibility of counter grouping, direct printing of the entire alphabet, direct subtraction and printing of either debit or credit balance from any counter. Commonly called

1230-646: A sufficient set of equipment. (In modern data processing terms, one can think of each stage as an SQL clause: SELECT (filter columns), then WHERE (filter cards, or "rows"), then maybe a GROUP BY for totals and counts, then a SORT BY; and then perhaps feed those back to another set of SELECT and WHERE cycles again if needed.) A human operator had to retrieve, load, and store the various card decks at each stage. Hollerith's first tabulators were used to compile mortality statistics for Baltimore, Jersey City and New York City in 1886. The first Tabulating Machine Company (TMC) automatic feed tabulator, operating at 150 cards/minute,

1312-568: A team led by Tom Kilburn . He designed the Atlas to have memory space for up to a million words of 48 bits, but because magnetic storage with such a capacity was unaffordable, the actual core memory of the Atlas was only 16,000 words, with a drum providing memory for a further 96,000 words. The Atlas Supervisor swapped data in the form of pages between the magnetic core and the drum. The Atlas operating system also introduced time-sharing to supercomputing, so that more than one program could be executed on

1394-503: Is a bare-metal compute model to execute code, but each user is given virtualized login node. POD computing nodes are connected via non-virtualized 10 Gbit/s Ethernet or QDR InfiniBand networks. User connectivity to the POD data center ranges from 50 Mbit/s to 1 Gbit/s. Citing Amazon's EC2 Elastic Compute Cloud, Penguin Computing argues that virtualization of compute nodes

1476-415: Is a form of distributed computing whereby the "super virtual computer" of many networked geographically disperse computers performs computing tasks that demand huge processing power. Quasi-opportunistic supercomputing aims to provide a higher quality of service than opportunistic grid computing by achieving more control over the assignment of tasks to distributed resources and the use of intelligence about

1558-461: Is an emerging direction, e.g. as in the Cyclops64 system. As the price, performance and energy efficiency of general-purpose graphics processing units (GPGPUs) have improved, a number of petaFLOPS supercomputers such as Tianhe-I and Nebulae have started to rely on them. However, other systems such as the K computer continue to use conventional processors such as SPARC -based designs and

1640-737: Is converted into heat, requiring cooling. For example, Tianhe-1A consumes 4.04  megawatts (MW) of electricity. The cost to power and cool the system can be significant, e.g. 4 MW at $ 0.10/kWh is $ 400 an hour or about $ 3.5 million per year. Heat management is a major issue in complex electronic devices and affects powerful computer systems in various ways. The thermal design power and CPU power dissipation issues in supercomputing surpass those of traditional computer cooling technologies. The supercomputing awards for green computing reflect this issue. The packing of thousands of processors together inevitably generates significant amounts of heat density that need to be dealt with. The Cray-2

1722-409: Is not suitable for HPC. Penguin Computing has also criticized that HPC clouds may have allocated computing nodes to customers that are far apart, causing latency that impairs performance for some HPC applications. Supercomputers generally aim for the maximum in capability computing rather than capacity computing. Capability computing is typically thought of as using the maximum computing power to solve

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1804-684: Is quite difficult to debug and test parallel programs. Special techniques need to be used for testing and debugging such applications. Opportunistic supercomputing is a form of networked grid computing whereby a "super virtual computer" of many loosely coupled volunteer computing machines performs very large computing tasks. Grid computing has been applied to a number of large-scale embarrassingly parallel problems that require supercomputing performance scales. However, basic grid and cloud computing approaches that rely on volunteer computing cannot handle traditional supercomputing tasks such as fluid dynamic simulations. The fastest grid computing system

1886-428: Is the volunteer computing project Folding@home (F@h). As of April 2020 , F@h reported 2.5 exaFLOPS of x86 processing power. Of this, over 100 PFLOPS are contributed by clients running on various GPUs, and the rest from various CPU systems. The Berkeley Open Infrastructure for Network Computing (BOINC) platform hosts a number of volunteer computing projects. As of February 2017 , BOINC recorded

1968-551: The Blue Gene system, IBM deliberately used low power processors to deal with heat density. The IBM Power 775 , released in 2011, has closely packed elements that require water cooling. The IBM Aquasar system uses hot water cooling to achieve energy efficiency, the water being used to heat buildings as well. The energy efficiency of computer systems is generally measured in terms of " FLOPS per watt ". In 2008, Roadrunner by IBM operated at 376  MFLOPS/W . In November 2010,

2050-732: The Blue Gene/Q reached 1,684 MFLOPS/W and in June 2011 the top two spots on the Green 500 list were occupied by Blue Gene machines in New York (one achieving 2097 MFLOPS/W) with the DEGIMA cluster in Nagasaki placing third with 1375 MFLOPS/W. Because copper wires can transfer energy into a supercomputer with much higher power densities than forced air or circulating refrigerants can remove waste heat ,

2132-610: The DES cipher . Throughout the decades, the management of heat density has remained a key issue for most centralized supercomputers. The large amount of heat generated by a system may also have other effects, e.g. reducing the lifetime of other system components. There have been diverse approaches to heat management, from pumping Fluorinert through the system, to a hybrid liquid-air cooling system or air cooling with normal air conditioning temperatures. A typical supercomputer consumes large amounts of electrical power, almost all of which

2214-459: The Goodyear MPP . But by the mid-1990s, general-purpose CPU performance had improved so much in that a supercomputer could be built using them as the individual processing units, instead of using custom chips. By the turn of the 21st century, designs featuring tens of thousands of commodity CPUs were the norm, with later machines adding graphic units to the mix. In 1998, David Bader developed

2296-468: The IBM 1401 . Two programming languages, FARGO and RPG , were created to aid this migration. Since tabulator control panels were based on the machine cycle, both FARGO and RPG emulated the notion of the machine cycle and training material showed the control panel vs. programming language coding sheet relationships. In its basic form, a tabulating machine would read one card at a time, print portions (fields) of

2378-626: The grid computing approach, the processing power of many computers, organized as distributed, diverse administrative domains, is opportunistically used whenever a computer is available. In another approach, many processors are used in proximity to each other, e.g. in a computer cluster . In such a centralized massively parallel system the speed and flexibility of the interconnect becomes very important and modern supercomputers have used various approaches ranging from enhanced Infiniband systems to three-dimensional torus interconnects . The use of multi-core processors combined with centralization

2460-519: The thermal design power of the supercomputer as a whole, the amount that the power and cooling infrastructure can handle, is somewhat more than the expected normal power consumption, but less than the theoretical peak power consumption of the electronic hardware. Since the end of the 20th century, supercomputer operating systems have undergone major transformations, based on the changes in supercomputer architecture . While early operating systems were custom tailored to each supercomputer to gain speed,

2542-430: The 405 "tabulator," this machine remained the flagship of IBM's product line until after World War II. The British at Hut 8 used Hollerith machinery to gain some knowledge of Known-plaintext attack cribs used by encrypted German messages. IBM 402 and 403, from 1948, were modernized successors to the 405. The 1952 Bull Gamma 3 could be attached to this tabulator or to a card read/punch. IBM 407 Introduced in 1949,

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2624-458: The 407 Accounting Machine in 1976. The 407 read punched cards , totaled fields on the cards, made simple decisions, printed results, and, with the aid of a summary punch, output results on punched cards that could be input to other processing steps. The operation of the 407 was directed by the use of a removable control panel and a carriage tape . Exit hubs (impulse emitting) on the control panel are wired to entry hubs (impulse accepting) for

2706-466: The 407 had 960 brushes at each station, one for each possible hole in a punched card. Cards were held in position during each read cycle and the per digit pulses needed were generated using commutators , one for each column. This allowed the card to be read more than once at each station, for greater flexibility. For printing, the 407 used type wheels, an improvement over earlier tabulators that used print bars. The 48-character wheels were stationary until

2788-473: The 407 was the mainstay of the IBM unit record product line for almost three decades. It was later adapted to serve as an input/output peripheral for several early electronic calculators and computers. Its printing mechanism was used in the IBM 716 line printer for the IBM 700/7000 series and later with the IBM 1130 through the mid-1970s. The IBM 407 Accounting Machine was withdrawn from marketing in 1976, signaling

2870-445: The 80 MHz Cray-1 in 1976, which became one of the most successful supercomputers in history. The Cray-2 was released in 1985. It had eight central processing units (CPUs), liquid cooling and the electronics coolant liquid Fluorinert was pumped through the supercomputer architecture . It reached 1.9  gigaFLOPS , making it the first supercomputer to break the gigaflop barrier. The only computer to seriously challenge

2952-511: The Cray-1's performance in the 1970s was the ILLIAC IV . This machine was the first realized example of a true massively parallel computer, in which many processors worked together to solve different parts of a single larger problem. In contrast with the vector systems, which were designed to run a single stream of data as quickly as possible, in this concept, the computer instead feeds separate parts of

3034-511: The Cray. Another problem was that writing software for the system was difficult, and getting peak performance from it was a matter of serious effort. But the partial success of the ILLIAC IV was widely seen as pointing the way to the future of supercomputing. Cray argued against this, famously quipping that "If you were plowing a field, which would you rather use? Two strong oxen or 1024 chickens?" But by

3116-620: The National Computational Science Alliance (NCSA) to ensure interoperability, as none of it had been run on Linux previously. Using the successful prototype design, he led the development of "RoadRunner," the first Linux supercomputer for open use by the national science and engineering community via the National Science Foundation's National Technology Grid. RoadRunner was put into production use in April 1999. At

3198-540: The Powers Accounting Machine Company. In 1933 The Tabulating Machine Company was subsumed into IBM. These companies continued to develop faster and more sophisticated tabulators, culminating in tabulators such as 1949 IBM 407 and 1952 Remington Rand 409 . Tabulating machines continued to be used well after the introduction of commercial electronic computers in the 1950s. Many applications using unit record tabulators were migrated to computers such as

3280-729: The Tabulating Machine Company. In that year he introduced the Hollerith Integrating Tabulator, which could add numbers coded on punched cards, not just count the number of holes. Punched cards were still read manually using the pins and mercury pool reader. 1900 saw the Hollerith Automatic Feed Tabulator used in that year's U.S. census. A control panel was incorporated in the 1906 Type 1. In 1911, four corporations, including Hollerith's firm, were amalgamated (via stock acquisition) to form

3362-454: The ability of the cooling systems to remove waste heat is a limiting factor. As of 2015 , many existing supercomputers have more infrastructure capacity than the actual peak demand of the machine – designers generally conservatively design the power and cooling infrastructure to handle more than the theoretical peak electrical power consumed by the supercomputer. Designs for future supercomputers are power-limited –

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3444-541: The achievable throughput, derived from the LINPACK benchmarks and shown as "Rmax" in the TOP500 list. The LINPACK benchmark typically performs LU decomposition of a large matrix. The LINPACK performance gives some indication of performance for some real-world problems, but does not necessarily match the processing requirements of many other supercomputer workloads, which for example may require more memory bandwidth, or may require better integer computing performance, or may need

3526-424: The attention of high-performance computing (HPC) users and developers in recent years. Cloud computing attempts to provide HPC-as-a-service exactly like other forms of services available in the cloud such as software as a service , platform as a service , and infrastructure as a service . HPC users may benefit from the cloud in different angles such as scalability, resources being on-demand, fast, and inexpensive. On

3608-505: The availability and reliability of individual systems within the supercomputing network. However, quasi-opportunistic distributed execution of demanding parallel computing software in grids should be achieved through the implementation of grid-wise allocation agreements, co-allocation subsystems, communication topology-aware allocation mechanisms, fault tolerant message passing libraries and data pre-conditioning. Cloud computing with its recent and rapid expansions and development have grabbed

3690-503: The card on fan-fold paper , possibly rearranged, and add one or more numbers punched on the card to one or more counters, called accumulators . On early models, the accumulator register dials would be read manually after a card run to get totals. Later models could print totals directly. Cards with a particular punch could be treated as master cards causing different behavior. For example, customer master cards could be merged with sorted cards recording individual items purchased. When read by

3772-405: The card reader. The card sat over pools of mercury , pools corresponding to the possible hole positions in the card. When the wires were pressed onto the card, punched holes allowed wires to dip into the mercury pools, making an electrical contact that could be used for counting, sorting, and setting off a bell to let the operator know the card had been read. The tabulator had 40 counters, each with

3854-424: The card was to be sorted, a compartment lid of the sorting box would open for storage of the card, the choice of compartment depending on the data in the card. Hollerith's method was used for the 1890 census. Clerks used keypunches to punch holes in the cards entering age, state of residence, gender, and other information from the returns. Some 100 million cards were generated and "the cards were only passed through

3936-419: The data to entirely different processors and then recombines the results. The ILLIAC's design was finalized in 1966 with 256 processors and offer speed up to 1 GFLOPS, compared to the 1970s Cray-1's peak of 250 MFLOPS. However, development problems led to only 64 processors being built, and the system could never operate more quickly than about 200 MFLOPS while being much larger and more complex than

4018-430: The decade, increasing amounts of parallelism were added, with one to four processors being typical. In the 1970s, vector processors operating on large arrays of data came to dominate. A notable example is the highly successful Cray-1 of 1976. Vector computers remained the dominant design into the 1990s. From then until today, massively parallel supercomputers with tens of thousands of off-the-shelf processors became

4100-631: The early 1980s, several teams were working on parallel designs with thousands of processors, notably the Connection Machine (CM) that developed from research at MIT . The CM-1 used as many as 65,536 simplified custom microprocessors connected together in a network to share data. Several updated versions followed; the CM-5 supercomputer is a massively parallel processing computer capable of many billions of arithmetic operations per second. In 1982, Osaka University 's LINKS-1 Computer Graphics System used

4182-552: The early moments of the universe, airplane and spacecraft aerodynamics , the detonation of nuclear weapons , and nuclear fusion ). They have been essential in the field of cryptanalysis . Supercomputers were introduced in the 1960s, and for several decades the fastest was made by Seymour Cray at Control Data Corporation (CDC), Cray Research and subsequent companies bearing his name or monogram. The first such machines were highly tuned conventional designs that ran more quickly than their more general-purpose contemporaries. Through

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4264-435: The echo impulses were accumulated for totals; report totals then reliably reflected what had actually been printed. Mechanical systems including the card reader, printer, counters and storage units were all driven by a single motor, which also drove an oil pump and a generator that provided 46-volt power for the electrical logic. This included about 900 relays which were mounted on three swing-out gates. The control panel had

4346-589: The end of the unit record era. IBM 421 For early use of tabulators for scientific computations see Supercomputer This is an accepted version of this page A supercomputer is a type of 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 ) instead of million instructions per second (MIPS). Since 2022, supercomputers have existed which can perform over 10  FLOPS, so called exascale supercomputers . For comparison,

4428-408: The fact that the differences in hardware architectures require changes to optimize the operating system to each hardware design. The parallel architectures of supercomputers often dictate the use of special programming techniques to exploit their speed. Software tools for distributed processing include standard APIs such as MPI and PVM , VTL , and open source software such as Beowulf . In

4510-401: The faster speed. The 407 rented from $ 800 to $ 920 per month ($ 10200 to $ 11800 per month in 2023 dollars), depending on the model. Its print mechanism was used in the IBM 716 introduced in 1952 with the IBM 701 computer, and the 716 was used with many machines in the IBM 700/7000 series . The 407 itself was adapted as an input/output unit on the IBM 650 . Later, the 407 print mechanism

4592-410: 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 (computing the structures and properties of chemical compounds, biological macromolecules , polymers, and crystals), and physical simulations (such as simulations of

4674-563: The first Linux supercomputer using commodity parts. While at the University of New Mexico, Bader sought to build a supercomputer running Linux using consumer off-the-shelf parts and a high-speed low-latency interconnection network. The prototype utilized an Alta Technologies "AltaCluster" of eight dual, 333 MHz, Intel Pentium II computers running a modified Linux kernel. Bader ported a significant amount of software to provide Linux support for necessary components as well as code from members of

4756-474: The first supercomputers was the IBM 7030 Stretch . The IBM 7030 was built by IBM for the Los Alamos National Laboratory , which then in 1955 had requested a computer 100 times faster than any existing computer. The IBM 7030 used transistors , magnetic core memory, pipelined instructions, prefetched data through a memory controller and included pioneering random access disk drives. The IBM 7030

4838-452: The machines four times during the whole of the operations." According to the U.S. Census Bureau, the census results were "... finished months ahead of schedule and far under budget." The advantages of the technology were immediately apparent for accounting and tracking inventory . Hollerith started his own business as The Hollerith Electric Tabulating System , specializing in punched card data processing equipment . In 1896 he incorporated

4920-556: The most common scenario, environments such as PVM and MPI for loosely connected clusters and OpenMP for tightly coordinated shared memory machines are used. Significant effort is required to optimize an algorithm for the interconnect characteristics of the machine it will be run on; the aim is to prevent any of the CPUs from wasting time waiting on data from other nodes. GPGPUs have hundreds of processor cores and are programmed using programming models such as CUDA or OpenCL . Moreover, it

5002-441: The norm. The US has long been the leader in the supercomputer field, first through Cray's almost uninterrupted dominance of the field, and later through a variety of technology companies. Japan made major strides in the field in the 1980s and 90s, with China becoming increasingly active in the field. As of November 2024 , Lawrence Livermore National Laboratory's El Capitan is the world's fastest supercomputer. The US has five of

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5084-607: The other hand, moving HPC applications have a set of challenges too. Good examples of such challenges are virtualization overhead in the cloud, multi-tenancy of resources, and network latency issues. Much research is currently being done to overcome these challenges and make HPC in the cloud a more realistic possibility. In 2016, Penguin Computing, Parallel Works, R-HPC, Amazon Web Services , Univa , Silicon Graphics International , Rescale , Sabalcore, and Gomput started to offer HPC cloud computing . The Penguin On Demand (POD) cloud

5166-453: The overall applicability of GPGPUs in general-purpose high-performance computing applications has been the subject of debate, in that while a GPGPU may be tuned to score well on specific benchmarks, its overall applicability to everyday algorithms may be limited unless significant effort is spent to tune the application to it. However, GPUs are gaining ground, and in 2012 the Jaguar supercomputer

5248-506: The overall performance of a computer system, yet the goal of the Linpack benchmark is to approximate how fast the computer solves numerical problems and it is widely used in the industry. The FLOPS measurement is either quoted based on the theoretical floating point performance of a processor (derived from manufacturer's processor specifications and shown as "Rpeak" in the TOP500 lists), which is generally unachievable when running real workloads, or

5330-536: The overheating problem was solved by introducing refrigeration to the supercomputer design. Thus, the CDC6600 became the fastest computer in the world. Given that the 6600 outperformed all the other contemporary computers by about 10 times, it was dubbed a supercomputer and defined the supercomputing market, when one hundred computers were sold at $ 8 million each. Cray left CDC in 1972 to form his own company, Cray Research . Four years after leaving CDC, Cray delivered

5412-605: The shorthand TFLOPS (10 FLOPS, pronounced teraflops ), or peta- , combined into the shorthand PFLOPS (10 FLOPS, pronounced petaflops .) Petascale supercomputers can process one quadrillion (10 ) (1000 trillion) FLOPS. Exascale is computing performance in the exaFLOPS (EFLOPS) range. An EFLOPS is one quintillion (10 ) FLOPS (one million TFLOPS). However, The performance of a supercomputer can be severely impacted by fluctuation brought on by elements like system load, network traffic, and concurrent processes, as mentioned by Brehm and Bruhwiler (2015). No single number can reflect

5494-439: The supercomputer at any one time. Atlas was a joint venture between Ferranti and Manchester University and was designed to operate at processing speeds approaching one microsecond per instruction, about one million instructions per second. The CDC 6600 , designed by Seymour Cray , was finished in 1964 and marked the transition from germanium to silicon transistors. Silicon transistors could run more quickly and

5576-494: The tabulating machine to create invoices, the billing address and customer number would be printed from the master card, and then individual items purchased and their price would be printed. When the next master card was detected, the total price would be printed from the accumulator and the page ejected to the top of the next page, typically using a carriage control tape . With successive stages or cycles of punched-card processing, fairly complex calculations could be made if one had

5658-536: The task to be done (see Wiring of unit record equipment ). There are hubs for each card column (at both reading stations), print position, counter digit, and so on. Logic tests were also available. Each input card was read at two successive reading stations. Thus, for example, fields in a card could be compared with the following card and, should a change be detected, say in invoice number, totals could be printed. Unlike earlier IBM tabulating machines , which had 80 read brushes at each read station, one for each column,

5740-444: The time of its deployment, it was considered one of the 100 fastest supercomputers in the world. Though Linux-based clusters using consumer-grade parts, such as Beowulf , existed prior to the development of Bader's prototype and RoadRunner, they lacked the scalability, bandwidth, and parallel computing capabilities to be considered "true" supercomputers. Systems with a massive number of processors generally take one of two paths. In

5822-583: The top 10; Japan, Finland, Switzerland, Italy and Spain have one each. In June 2018, all combined supercomputers on the TOP500 list broke the 1 exaFLOPS mark. In 1960, UNIVAC built the Livermore Atomic Research Computer (LARC), today considered among the first supercomputers, for the US Navy Research and Development Center. It still used high-speed drum memory , rather than the newly emerging disk drive technology. Also, among

5904-449: The top of the TOP500 list since June 1993, and the "Peak speed" is given as the "Rmax" rating. In 2018, Lenovo became the world's largest provider for the TOP500 supercomputers with 117 units produced. Rpeak country system 1,685.65 (9,248 × 64-core Optimized 3rd Generation EPYC 64C @2.0 GHz) IBM 407 The IBM 407 Accounting Machine , introduced in 1949, was one of

5986-406: The top spot in 1994 with a peak speed of 1.7  gigaFLOPS (GFLOPS) per processor. The Hitachi SR2201 obtained a peak performance of 600 GFLOPS in 1996 by using 2048 processors connected via a fast three-dimensional crossbar network. The Intel Paragon could have 1000 to 4000 Intel i860 processors in various configurations and was ranked the fastest in the world in 1993. The Paragon

6068-461: The transition from tabulating to accounting machines. The Type IV could list 100 cards per minute. H.W.Egli - BULL Tabulator model T30 , 1931 IBM 401: The 401, introduced in 1933, was an early entry in a long series of IBM alphabetic tabulators and accounting machines. It was developed by a team headed by J. R. Peirce and incorporated significant functions and features invented by A. W. Mills , F. J. Furman and E. J. Rabenda . The 401 added at

6150-422: The trend has been to move away from in-house operating systems to the adaptation of generic software such as Linux . Since modern massively parallel supercomputers typically separate computations from other services by using multiple types of nodes , they usually run different operating systems on different nodes, e.g. using a small and efficient lightweight kernel such as CNK or CNL on compute nodes, but

6232-498: The zone impulse (0, 11, 12 or none) for that character position. This selection happened at the same time the type wheel was driven against the ribbon. The timing of the zone impulse selection was controlled by a complex set of linkages and electromagnets called the Analyzer, one for each of the 120 print positions. Each type wheel also emitted an impulse (called "echo") for the character actually printed. The control panel could be wired so

6314-502: Was liquid cooled , and used a Fluorinert "cooling waterfall" which was forced through the modules under pressure. However, the submerged liquid cooling approach was not practical for the multi-cabinet systems based on off-the-shelf processors, and in System X a special cooling system that combined air conditioning with liquid cooling was developed in conjunction with the Liebert company . In

6396-606: 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 . Software development remained a problem, but the CM series sparked off considerable research into this issue. Similar designs using custom hardware were made by many companies, including the Evans & Sutherland ES-1 , MasPar , nCUBE , Intel iPSC and

6478-657: Was completed in 1961 and despite not meeting the challenge of a hundredfold increase in performance, it was purchased by the Los Alamos National Laboratory. Customers in England and France also bought the computer, and it became the basis for the IBM 7950 Harvest , a supercomputer built for cryptanalysis . The third pioneering supercomputer project in the early 1960s was the Atlas at the University of Manchester , built by

6560-517: Was developed in 1906. The first TMC printing tabulator was developed in 1920. TMC Type IV Accounting Machine (later renamed the IBM 301), from the IBM Archives : The 301 (better known as the Type IV ) Accounting Machine was the first card-controlled machine to incorporate class selection, automatic subtraction, and printing of a net positive or negative balance. Dating to 1928, this machine exemplifies

6642-782: Was required. In the late 1880s Herman Hollerith , inspired by conductors using holes punched in different positions on a railway ticket to record traveler details such as gender and approximate age, invented the recording of data on a machine-readable medium. Prior uses of machine-readable media had been for lists of instructions (not data) to drive programmed machines such as Jacquard looms . "After some initial trials with paper tape, he settled on punched cards ..." Hollerith used punched cards with round holes, 12 rows, and 24 columns. The cards measured 3 + 1 ⁄ 4 by 6 + 5 ⁄ 8 inches (83 by 168 mm). His tabulator used electromechanical solenoids to increment mechanical counters. A set of spring-loaded wires were suspended over

6724-771: Was transformed into Titan by retrofitting CPUs with GPUs. High-performance computers have an expected life cycle of about three years before requiring an upgrade. The Gyoukou supercomputer is unique in that it uses both a massively parallel design and liquid immersion cooling . A number of special-purpose systems have been designed, dedicated to a single problem. This allows the use of specially programmed FPGA chips or even custom ASICs , allowing better price/performance ratios by sacrificing generality. Examples of special-purpose supercomputers include Belle , Deep Blue , and Hydra for playing chess , Gravity Pipe for astrophysics, MDGRAPE-3 for protein structure prediction and molecular dynamics, and Deep Crack for breaking

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