Supercomputer in the context of Finite element method

A mainframe computer, informally called a mainframe, maxicomputer, or big iron, is a computer used primarily by large organizations for critical applications like bulk data processing for tasks such as censuses, industry and consumer statistics, enterprise resource planning, and large-scale transaction processing. A mainframe computer is large but not as large as a supercomputer and has more processing power than some other classes of computers, such as minicomputers, workstations, and personal computers. Most large-scale computer-system architectures were established in the 1960s, but they continue to evolve. Mainframe computers are often used as servers.

The term mainframe was derived from the large cabinet, called a main frame, that housed the central processing unit and main memory of early computers. Later, the term mainframe was used to distinguish high-end commercial computers from less powerful machines.

C is a general-purpose programming language. It was created in the 1970s by Dennis Ritchie and remains widely used and influential. By design, C gives the programmer relatively direct access to the features of the typical CPU architecture, customized for the target instruction set. It has been and continues to be used to implement operating systems (especially kernels), device drivers, and protocol stacks, but its use in application software has been decreasing. C is used on computers that range from the largest supercomputers to the smallest microcontrollers and embedded systems.

A successor to the programming language B, C was originally developed at Bell Labs by Ritchie between 1972 and 1973 to construct utilities running on Unix. It was applied to re-implementing the kernel of the Unix operating system. During the 1980s, C gradually gained popularity. It has become one of the most widely used programming languages, with C compilers available for practically all modern computer architectures and operating systems. The book The C Programming Language, co-authored by the original language designer, served for many years as the de facto standard for the language. C has been standardized since 1989 by the American National Standards Institute (ANSI) and, subsequently, jointly by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC).

The Musée des Arts et Métiers (French pronunciation: [myze dez‿aʁ e metje]; English: Museum of Arts and Crafts) is an industrial design museum in Paris that houses the collection of the Conservatoire national des arts et métiers, which was founded in 1794 as a repository for the preservation of scientific instruments and inventions.

The tabulating machine was an electromechanical machine designed to assist in summarizing information stored on punched cards. Invented by Herman Hollerith, the machine was developed to help process data for the 1890 U.S. Census. Later models were widely used for business applications such as accounting and inventory control. It spawned a class of machines, known as unit record equipment, and the data processing industry.

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.

Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science, and more specifically the computer sciences, which uses advanced computing capabilities to understand and solve complex physical problems in science. While this typically extends into computational specializations, this field of study includes:

• Algorithms (numerical and non-numerical): mathematical models, computational models, and computer simulations developed to solve sciences (e.g, physical, biological, and social), engineering, and humanities problems
• Computer hardware that develops and optimizes the advanced system hardware, firmware, networking, and data management components needed to solve computationally demanding problems
• The computing infrastructure that supports both the science and engineering problem solving and the developmental computer and information science

In practical use, it is typically the application of computer simulation and other forms of computation from numerical analysis and theoretical computer science to solve problems in various scientific disciplines. The field is different from theory and laboratory experiments, which are the traditional forms of science and engineering. The scientific computing approach is to gain understanding through the analysis of mathematical models implemented on computers. Scientists and engineers develop computer programs and application software that model systems being studied and run these programs with various sets of input parameters. The essence of computational science is the application of numerical algorithms and computational mathematics. In some cases, these models require massive amounts of calculations (usually floating-point) and are often executed on supercomputers or distributed computing platforms.

Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has gained broader interest due to the physical constraints preventing frequency scaling. As power consumption (and consequently heat generation) by computers has become a concern in recent years, parallel computing has become the dominant paradigm in computer architecture, mainly in the form of multi-core processors.

In computer science, parallelism and concurrency are two different things: a parallel program uses multiple CPU cores, each core performing a task independently. On the other hand, concurrency enables a program to deal with multiple tasks even on a single CPU core; the core switches between tasks (i.e. threads) without necessarily completing each one. A program can have both, neither or a combination of parallelism and concurrency characteristics.

Supercomputing in India has a history going back to the 1980s. The Government of India created an indigenous development programme as they had difficulty purchasing foreign supercomputers. As of November 2025, the AIRAWAT supercomputer is the fastest supercomputer in India, having been ranked 188th fastest in the world in the TOP500 supercomputer list. AIRAWAT has been installed at the Centre for Development of Advanced Computing (C-DAC) in Pune.

The PlayStation 3 (PS3, initially stylized in all caps) is a home video game console developed and marketed by Sony Computer Entertainment (SCE). It is the successor to the PlayStation 2, and both are part of the PlayStation brand of consoles. The PS3 was first released on November 11, 2006, in Japan, followed by November 17 in North America and March 23, 2007, in Europe and Australasia. It competed primarily with Microsoft's Xbox 360 and Nintendo's Wii as part of the seventh generation of video game consoles.

The PlayStation 3 was built around the custom-designed Cell Broadband Engine processor, co-developed with IBM and Toshiba. SCE president Ken Kutaragi envisioned the console as a supercomputer for the living room, capable of handling complex multimedia tasks. It was the first console to use the Blu-ray disc as its primary storage medium, the first to be equipped with an HDMI port, and the first capable of outputting games in 1080p (Full HD) resolution. It also launched alongside the PlayStation Network online service and supported Remote Play connectivity with the PlayStation Portable and PlayStation Vita handheld consoles. In September 2009, Sony released the PlayStation 3 Slim, which removed hardware support for PlayStation 2 games (though limited software-based emulation remained) and introduced a smaller, more energy-efficient design. A further revision, the Super Slim, was released in late 2012, offering additional refinements to the console's form factor.

The Blue Brain Project was a Swiss brain research initiative that aimed to create a digital reconstruction of the mouse brain. The project was founded in May 2005 by the Brain Mind Institute of École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. The project ended in December 2024. Its mission was to use biologically detailed digital reconstructions and simulations of the mammalian brain to identify the fundamental principles of brain structure and function.

The project was headed by the founding director Henry Markram—who also launched the European Human Brain Project—and was co-directed by Felix Schürmann, Adriana Salvatore and Sean Hill. Using a Blue Gene supercomputer running Michael Hines's NEURON, the simulation involved a biologically realistic model of neurons and an empirically reconstructed model connectome.

Finite element method (FEM) is a popular method for numerically solving differential equations arising in engineering and mathematical modeling. Typical problem areas of interest include the traditional fields of structural analysis, heat transfer, fluid flow, mass transport, and electromagnetic potential. Computers are usually used to perform the calculations required. With high-speed supercomputers, better solutions can be achieved and are often required to solve the largest and most complex problems.

FEM is a general numerical method for solving partial differential equations in two- or three-space variables (i.e., some boundary value problems). There are also studies about using FEM to solve high-dimensional problems. To solve a problem, FEM subdivides a large system into smaller, simpler parts called finite elements. This is achieved by a particular space discretization in the space dimensions, which is implemented by the construction of a mesh of the object: the numerical domain for the solution that has a finite number of points. FEM formulation of a boundary value problem finally results in a system of algebraic equations. The method approximates the unknown function over the domain. The simple equations that model these finite elements are then assembled into a larger system of equations that models the entire problem. FEM then approximates a solution by minimizing an associated error function via the calculus of variations.

Nvidia Corporation (/ɛnˈvɪdiə/ en-VID-ee-ə) is an American technology company headquartered in Santa Clara, California. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, it develops graphics processing units (GPUs), systems on chips (SoCs), and application programming interfaces (APIs) for data science, high-performance computing, and mobile and automotive applications. Nvidia has been described as a Big Tech company.

Originally focused on GPUs for video gaming, Nvidia broadened their use into other markets, including artificial intelligence (AI), professional visualization, and supercomputing. The company's product lines include GeForce GPUs for gaming and creative workloads, and professional GPUs for edge computing, scientific research, and industrial applications. As of the first quarter of 2025, Nvidia held a 92% share of the discrete desktop and laptop GPU market.

Intelligence cycle management refers to the overall activity of guiding the intelligence cycle, which is a set of processes used to provide decision-useful information (intelligence) to leaders. The cycle consists of several processes, including planning and direction (the focus of this article), collection, processing and exploitation, analysis and production, and dissemination and integration. The related field of counterintelligence is tasked with impeding the intelligence efforts of others. Intelligence organizations are not infallible (intelligence reports are often referred to as "estimates," and often include measures of confidence and reliability) but, when properly managed and tasked, can be among the most valuable tools of management and government.

The principles of intelligence have been discussed and developed from the earliest writers on warfare to the most recent writers on technology. Despite the most powerful computers, the human mind remains at the core of intelligence, discerning patterns and extracting meaning from a flood of correct, incorrect, and sometimes deliberately misleading information (also known as disinformation).

Taiwania (traditional Chinese: 台灣杉; simplified Chinese: 台湾杉; pinyin: Táiwān Shān) is a supercomputer series in Taiwan owned by the National Applied Research Laboratories.

Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have each node set to perform a different task/application. Grid computers also tend to be more heterogeneous and geographically dispersed (thus not physically coupled) than cluster computers. Although a single grid can be dedicated to a particular application, commonly a grid is used for a variety of purposes. Grids are often constructed with general-purpose grid middleware software libraries. Grid sizes can be quite large.

Grids are a form of distributed computing composed of many networked loosely coupled computers acting together to perform large tasks. For certain applications, distributed or grid computing can be seen as a special type of parallel computing that relies on complete computers (with onboard CPUs, storage, power supplies, network interfaces, etc.) connected to a computer network (private or public) by a conventional network interface, such as Ethernet. This is in contrast to the traditional notion of a supercomputer, which has many processors connected by a local high-speed computer bus. This technology has been applied to computationally intensive scientific, mathematical, and academic problems through volunteer computing, and it is used in commercial enterprises for such diverse applications as drug discovery, economic forecasting, seismic analysis, and back office data processing in support for e-commerce and Web services.

Apollo Computer Inc. was an American technology corporation headquartered and founded in Chelmsford, Massachusetts. It was founded in 1980 by William Poduska (a founder of Prime Computer) and others. Apollo Computer developed and produced Apollo/Domain workstations in the 1980s. Along with Symbolics and Sun Microsystems, Apollo was one of the first vendors of graphical workstations. Like other computer companies at the time, Apollo produced much of its own hardware and software.

Apollo was acquired by Hewlett-Packard in 1989 for US$476 million (equivalent to $1207 million in 2024), and gradually closed down over the period of 1990–1997. The brand (as "HP Apollo") was resurrected in 2014 as part of HP's high-performance computing portfolio.

Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows. Computers are used to perform the calculations required to simulate the free-stream flow of the fluid, and the interaction of the fluid (liquids and gases) with surfaces defined by boundary conditions. With high-speed supercomputers, better solutions can be achieved, and are often required to solve the largest and most complex problems. Ongoing research yields software that improves the accuracy and speed of complex simulation scenarios such as transonic or turbulent flows. Initial validation of such software is typically performed using experimental apparatus such as wind tunnels. In addition, previously performed analytical or empirical analysis of a particular problem can be used for comparison. A final validation is often performed using full-scale testing, such as flight tests.

CFD is applied to a range of research and engineering problems in multiple fields of study and industries, including aerodynamics and aerospace analysis, hypersonics, weather simulation, natural science and environmental engineering, industrial system design and analysis, biological engineering, fluid flows and heat transfer, engine and combustion analysis, and visual effects for film and games.

A Linux distribution, often abbreviated as distro, is an operating system that includes the Linux kernel for its kernel functionality. Although the name does not imply product distribution per se, a distro—if distributed on its own—is often obtained via a website intended specifically for the purpose. Distros have been designed for a wide variety of systems ranging from personal computers (for example, Linux Mint) to servers (for example, Red Hat Enterprise Linux) and from embedded devices (for example, OpenWrt) to supercomputers (for example, Rocks Cluster Distribution).

A distro typically includes many components in addition to the Linux kernel. Commonly, it includes a package manager, an init system (such as systemd, OpenRC, SysVinit, or runit), GNU tools and libraries, documentation, IP network configuration utilities, the getty TTY setup program, and many more. To provide a desktop experience (most commonly the Mesa userspace graphics drivers) a display server (the most common being the X.org Server, or, more recently, a Wayland compositor such as Sway, KDE's KWin, or GNOME's Mutter), a desktop environment (most commonly GNOME, KDE Plasma, or Xfce), a sound server (usually either PulseAudio or more recently PipeWire), and other related programs may be included or installed by the user.