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MasPar
MasPar Computer Corporation (later NeoVista Software, Inc.) was a minisupercomputer vendor that was founded in 1987 by Jeff Kalb. The company was based in Sunnyvale, California. History While Kalb was the vice-president of the division of Digital Equipment Corporation (DEC) that built integrated circuits, some researchers in that division were building a supercomputer based on the Goodyear MPP (massively parallel processor) supercomputer. The DEC researchers enhanced the architecture by: * making the processor elements to be 4-bit computing, 4-bit instead of 1-bit computing, 1-bit John Culver"MasPar: Massively Parallel Computers – 32 cores on a chip" * increasing the connectivity of each processor element to 8 neighbors from 4. * adding a global interconnect for all of the processing elements, which was a triple-redundant switch which was easier to implement than a full crossbar switch. After Digital decided not to commercialize the research project, Kalb decided to start a com ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Maspar Arch
MasPar Computer Corporation (later NeoVista Software, Inc.) was a minisupercomputer vendor that was founded in 1987 by Jeff Kalb. The company was based in Sunnyvale, California. History While Kalb was the vice-president of the division of Digital Equipment Corporation (DEC) that built integrated circuits, some researchers in that division were building a supercomputer based on the Goodyear MPP (massively parallel processor) supercomputer. The DEC researchers enhanced the architecture by: * making the processor elements to be 4-bit instead of 1-bit John Culver"MasPar: Massively Parallel Computers – 32 cores on a chip" * increasing the connectivity of each processor element to 8 neighbors from 4. * adding a global interconnect for all of the processing elements, which was a triple-redundant switch which was easier to implement than a full crossbar switch. After Digital decided not to commercialize the research project, Kalb decided to start a company to sell this minisupercom ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Thinking Machines Corporation
Thinking Machines Corporation was a supercomputer manufacturer and artificial intelligence (AI) company, founded in Waltham, Massachusetts, in 1983 by Sheryl Handler and Danny Hillis, W. Daniel "Danny" Hillis to turn Hillis's doctoral work at the Massachusetts Institute of Technology (MIT) on massively parallel computing architectures into a commercial product named the Connection Machine. The company moved in 1984 from Waltham to Kendall Square in Cambridge, Massachusetts, close to the MIT AI Lab. Thinking Machines made some of the most powerful supercomputers of the time, and by 1993 the four fastest computers in the world were Connection Machines. The firm filed for bankruptcy in 1994; its hardware and parallel computing software divisions were acquired in time by Sun Microsystems. Supercomputer products On the hardware side, Thinking Machines produced several Connection Machine models (in chronological order): the CM-1, CM-2, CM-200, CM-5, and CM-5E. The CM-1 and 2 came firs ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Goodyear MPP
The Goodyear Massively Parallel Processor (MPP) was a massively parallel processing supercomputer built by Goodyear Aerospace for the NASA Goddard Space Flight Center. It was designed to deliver enormous computational power at lower cost than other existing supercomputer architectures, by using thousands of simple processing elements, rather than one or a few highly complex CPUs. Development of the MPP began circa 1979; it was delivered in May 1983, and was in general use from 1985 until 1991. It was based on Goodyear's earlier STARAN array processor, a 4x256 1-bit processing element (PE) computer. The MPP was a 128x128 2-dimensional array of 1-bit wide PEs. In actuality 132x128 PEs were configured with a 4x128 configuration added for fault tolerance to substitute for up to 4 rows (or columns) of processors in the presence of problems. The PEs operated in a single instruction, multiple data (SIMD) fashioneach PE performed the same operation simultaneously, on different data e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
SIMD
Single instruction, multiple data (SIMD) is a type of parallel computer, parallel processing in Flynn's taxonomy. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously. SIMD can be internal (part of the hardware design) and it can be directly accessible through an instruction set architecture (ISA), but it should not be confused with an ISA. Such machines exploit Data parallelism, data level parallelism, but not Concurrent computing, concurrency: there are simultaneous (parallel) computations, but each unit performs exactly the same instruction at any given moment (just with different data). A simple example is to add many pairs of numbers together, all of the SIMD units are performing an addition, but each one has different pairs of values to add. SIMD is particularly applicable to common tasks such as adjusting the contrast in a digital image or adjusting the volume of digital audio. Most modern Cen ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Minisupercomputer
Minisupercomputers constituted a short-lived class of computers that emerged in the mid-1980s, characterized by the combination of vector processing and small-scale multiprocessing. As scientific computing using vector processors became more popular, the need for lower-cost systems that might be used at the departmental level instead of the corporate level created an opportunity for new computer vendors to enter the market. As a generalization, the price targets for these smaller computers were one-tenth of the larger supercomputers. Several notable technical, economic, and political attributes characterize minisupercomputers. First, they were architecturally more diverse than prior mainframes and minicomputers in hardware and less diverse in software. Second, advances in VLSI made them less expensive (mini-price). These machines were market targeted to be cost-effective and quickly manufactured. Third, it is notable who did not manufacture minisupercomputers: within the USA, IBM ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Connection Machine
The Connection Machine (CM) is a member of a series of massively parallel supercomputers sold by Thinking Machines Corporation. The idea for the Connection Machine grew out of doctoral research on alternatives to the traditional von Neumann architecture of computers by Danny Hillis at Massachusetts Institute of Technology (MIT) in the early 1980s. Starting with CM-1, the machines were intended originally for applications in artificial intelligence (AI) and symbolic processing, but later versions found greater success in the field of computational science. Origin of idea Danny Hillis and Sheryl Handler founded Thinking Machines Corporation (TMC) in Waltham, Massachusetts, in 1983, moving in 1984 to Cambridge, MA. At TMC, Hillis assembled a team to develop what would become the CM-1 Connection Machine, a design for a massively parallel Hypercube internetwork topology, hypercube-based arrangement of thousands of microprocessors, springing from his PhD thesis work at MIT in Electric ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Vector Processor
In computing, a vector processor or array processor is a central processing unit (CPU) that implements an instruction set where its instructions are designed to operate efficiently and effectively on large one-dimensional arrays of data called ''vectors''. This is in contrast to scalar processors, whose instructions operate on single data items only, and in contrast to some of those same scalar processors having additional single instruction, multiple data (SIMD) or SIMD within a register (SWAR) Arithmetic Units. Vector processors can greatly improve performance on certain workloads, notably numerical simulation, compression and similar tasks. Vector processing techniques also operate in video-game console hardware and in graphics accelerators. Vector machines appeared in the early 1970s and dominated supercomputer design through the 1970s into the 1990s, notably the various Cray platforms. The rapid fall in the price-to-performance ratio of conventional microprocessor de ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Mining
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the " knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term "data mining" is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (''mining'') of data itself. It also is a buzzwo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
JDA Software
Blue Yonder Group, Inc. (formerly JDA Software Group) is an American supply chain management company operating as an independent Subsidiary of multinational holding company Panasonic Corporation. Founded in 1985, the company is headquartered in Scottsdale, Arizona, with offices globally, and an innovation center in Dallas, Texas. History In 1978, James Donald Armstrong founded JDA Software in Calgary, Canada, with the company focusing on IBM's System/3X platforms. In 1985, Armstrong sold the business and moved to Cleveland, Ohio, where he and Frederick M. Pakis formed the US-based JDA Software, Inc. After signing a contract with a Phoenix-based automotive retailer in 1987, all eight JDA employees relocated to headquarters in Arizona. After 10 years of operation as a privately held firm, JDA went public on March 15, 1996. In June 2010, Dillard's Department Stores won a $246 million judgment against JDA subsidiary i2, claiming damages from use of two supply chain management syst ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sunnyvale, California
Sunnyvale () is a city located in the Santa Clara Valley in northwestern Santa Clara County, California, United States. Sunnyvale lies along the historic El Camino Real (California), El Camino Real and U.S. Route 101 in California, Highway 101 and is bordered by portions of San Jose, California, San Jose to the north, Moffett Federal Airfield and NASA Ames Research Center to the northwest, Mountain View, California, Mountain View to the northwest, Los Altos, California, Los Altos to the southwest, Cupertino, California, Cupertino to the south, and Santa Clara, California, Santa Clara to the east. Sunnyvale's population was 155,805 at the 2020 United States census, 2020 census, making it the second most populous city in the county (after San Jose, California, San Jose) and the List of cities and towns in the San Francisco Bay Area, seventh most populous city in the San Francisco Bay Area. As one of the major cities that make up California's High tech, high-tech area known as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Arithmetic Logic Unit
In computing, an arithmetic logic unit (ALU) is a Combinational logic, combinational digital circuit that performs arithmetic and bitwise operations on integer binary numbers. This is in contrast to a floating-point unit (FPU), which operates on floating point numbers. It is a fundamental building block of many types of computing circuits, including the central processing unit (CPU) of computers, FPUs, and graphics processing units (GPUs). The inputs to an ALU are the data to be operated on, called operands, and a code indicating the operation to be performed (opcode); the ALU's output is the result of the performed operation. In many designs, the ALU also has status inputs or outputs, or both, which convey information about a previous operation or the current operation, respectively, between the ALU and external status registers. Signals An ALU has a variety of input and output net (electronics), nets, which are the electrical conductors used to convey Digital signal (electroni ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
