Tsubame 2.0
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Tsubame 2.0
Tsubame is a series of supercomputers that operates at the GSIC Center at the Tokyo Institute of Technology in Japan, designed by Satoshi Matsuoka. Versions Tsubame 1.0 The Sun Microsystems-built Tsubame 1.0 began operation in 2006 achieving 85 TFLOPS of performance, it was the most powerful supercomputer in Japan at the time. The system consisted of 655 InfiniBand connected nodes, each with a 8 dual-core AMD Opteron 880 and 885 CPUs and 32GB of memory. Tsubame 1.0 also included 600 ClearSpeed X620 Advance cards. Tsubame 1.2 In 2008, Tsubame was upgraded with 170 Nvidia Tesla S1070 server racks, adding at total of 680 Tesla T10 GPU processors for GPGPU computing. This increased performance to 170 TFLOPS, making it at the time the second most powerful supercomputer in Japan and 29th in the world. Tsubame 2.0 Tsubame 2.0 was built in 2010 by HP and NEC as a replacement to Tsubame 1.0. With a peak of 2,288 TFLOPS, in June 2011 it was ranked 5th in the world. It has 1,400 ...
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Hewlett-Packard
The Hewlett-Packard Company, commonly shortened to Hewlett-Packard ( ) or HP, was an American multinational information technology company headquartered in Palo Alto, California. HP developed and provided a wide variety of hardware components, as well as software and related services to consumers, small and medium-sized businesses ( SMBs), and large enterprises, including customers in the government, health, and education sectors. The company was founded in a one-car garage in Palo Alto by Bill Hewlett and David Packard in 1939, and initially produced a line of electronic test and measurement equipment. The HP Garage at 367 Addison Avenue is now designated an official California Historical Landmark, and is marked with a plaque calling it the "Birthplace of 'Silicon Valley'". The company won its first big contract in 1938 to provide test and measurement instruments for Walt Disney's production of the animated film ''Fantasia'', which allowed Hewlett and Packard to formally esta ...
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Supercomputing In Japan
Japan operates a number of centers for supercomputing which hold world records in speed, with the K computer becoming the world's fastest in June 2011. and Fugaku took the lead in June 2020, and furthered it, as of November 2020, to 3 times faster than number two computer. The K computer's performance was impressive, according to professor Jack Dongarra who maintains the TOP500 list of supercomputers, and it surpassed its next 5 competitors combined. The K computer cost US$10 million a year to operate. Previous records Japan's entry into supercomputing began in the early 1980s. In 1982, Osaka University's LINKS-1 Computer Graphics System used a massively parallel processing architecture, with 514 microprocessors, including 257 Zilog Z8000, Zilog Z8001 Central processing unit, control processors and 257 iAPX IAPX 86, 86/20 Floating-point unit, floating-point processors. It was mainly used for rendering realistic 3D computer graphics, 3D computer graphics. It was the world's most ...
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Green500
The Green500 is a biannual An anniversary is the date on which an event took place or an institution was founded in a previous year, and may also refer to the commemoration or celebration of that event. The word was first used for Catholic feasts to commemorate saints. ... ranking of supercomputers, from the TOP500 list of supercomputers, in terms of Electrical efficiency, energy efficiency. The list measures performance per watt using the TOP500 measure of LINPACK benchmarks#HPLinpack, high performance LINPACK benchmarks at double-precision floating-point format. In 2022, Hewlett Packard Enterprise took the lead, with AMD-based systems (AMD CPUs and AMD GPUs) in the 4 top positions, with the top position over 50% more efficient than the previous year (Japanese) top position. And number two on the list (the current fastest on TOP500) is also over 50% more efficient than the currently most efficient (and much smaller) Nvidia-based system. No large Nvidia-based system make the ...
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TOP500
The TOP500 project ranks and details the 500 most powerful non-distributed computing, 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 (benchmark), HPL, a portable implementation of the high-performance LINPACK Benchmark (computing), benchmark written in Fortran for distributed-memory computers. The 60th TOP500 was published in November 2022. Since June 2022, USA's Frontier (supercomputer), Frontier is the most powerful supercomputer on TOP500, reaching 1102 petaFlops (1.102 exaFlops) on the LINPACK benchmarks. The United States has by far the highest share of total computing ...
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Double Precision
Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. Floating point is used to represent fractional values, or when a wider range is needed than is provided by fixed point (of the same bit width), even if at the cost of precision. Double precision may be chosen when the range or precision of single precision would be insufficient. In the IEEE 754-2008 standard, the 64-bit base-2 format is officially referred to as binary64; it was called double in IEEE 754-1985. IEEE 754 specifies additional floating-point formats, including 32-bit base-2 ''single precision'' and, more recently, base-10 representations. One of the first programming languages to provide single- and double-precision floating-point data types was Fortran. Before the widespread adoption of IEEE 754-1985, the representation and p ...
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Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). ...
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Silicon Graphics International
Silicon Graphics International Corp. (SGI; formerly Rackable Systems, Inc.) was an American manufacturer of computer hardware and software, including high-performance computing systems, x86-based servers for datacenter deployment, and visualization products. The company was founded as Rackable Systems in 1999, but adopted the "SGI" name in 2009 after acquiring Silicon Graphics Inc. out of bankruptcy. On November 1, 2016, Hewlett Packard Enterprise completed its acquisition of SGI for $275 million. History Rackable Systems, Inc. era Rackable Systems Inc. went public in June 2005, with 6.25 million shares offered at $12 per share. In 2006, Rackable announced it had signed an agreement to acquire Terrascale Technologies, Inc. On April 1, 2009, Rackable announced an agreement to acquire Silicon Graphics, Inc. for $25 million. The purchase, ultimately for $42.5 million, was finalized on May 11, 2009; at the same time, Rackable announced their adoption of "SGI" as their global na ...
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Single Precision
Single-precision floating-point format (sometimes called FP32 or float32) is a computer number format, usually occupying 32 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. A floating-point variable can represent a wider range of numbers than a fixed-point variable of the same bit width at the cost of precision. A signed 32-bit integer variable has a maximum value of 231 − 1 = 2,147,483,647, whereas an IEEE 754 32-bit base-2 floating-point variable has a maximum value of (2 − 2−23) × 2127 ≈ 3.4028235 × 1038. All integers with 7 or fewer decimal digits, and any 2''n'' for a whole number −149 ≤ ''n'' ≤ 127, can be converted exactly into an IEEE 754 single-precision floating-point value. In the IEEE 754-2008 standard, the 32-bit base-2 format is officially referred to as binary32; it was called single in IEEE 754-1985. IEEE 754 specifies additional floating-point types, such as 64-bit base-2 ''double prec ...
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Xeon
Xeon ( ) is a brand of x86 microprocessors designed, manufactured, and marketed by Intel, targeted at the non-consumer workstation, server, and embedded system markets. It was introduced in June 1998. Xeon processors are based on the same architecture as regular desktop-grade CPUs, but have advanced features such as support for ECC memory, higher core counts, more PCI Express lanes, support for larger amounts of RAM, larger cache memory and extra provision for enterprise-grade reliability, availability and serviceability (RAS) features responsible for handling hardware exceptions through the Machine Check Architecture. They are often capable of safely continuing execution where a normal processor cannot due to these extra RAS features, depending on the type and severity of the machine-check exception (MCE). Some also support multi-socket systems with two, four, or eight sockets through use of the Ultra Path Interconnect (UPI) bus. Overview The ''Xeon'' brand has been mainta ...
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GPGPU
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU). The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing. Essentially, a GPGPU pipeline is a kind of parallel processing between one or more GPUs and CPUs that analyzes data as if it were in image or other graphic form. While GPUs operate at lower frequencies, they typically have many times the number of cores. Thus, GPUs can process far more pictures and graphical data per second than a traditional CPU. Migrating data into graphical form and then using the GPU to scan and analyze it can create a large speedup. GPGPU pipelines were developed at the beginning of the 21st century for graphic ...
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Supercomputer
A supercomputer is a 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 2017, there have existed supercomputers which can perform over 1017 FLOPS (a hundred quadrillion FLOPS, 100 petaFLOPS or 100 PFLOPS). For comparison, a desktop computer has performance in the range of hundreds of gigaFLOPS (1011) to tens of teraFLOPS (1013). 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 the field of computational science, and are used for a wide range of computationally intensive tasks in var ...
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