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GPGPU Libraries
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 graphics pipeline, pipeline is a kind of Parallel computing, 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 Multi-core processor, 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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Graphics Processing Unit
A graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles. GPUs were later found to be useful for non-graphic calculations involving embarrassingly parallel problems due to their parallel structure. The ability of GPUs to rapidly perform vast numbers of calculations has led to their adoption in diverse fields including artificial intelligence (AI) where they excel at handling data-intensive and computationally demanding tasks. Other non-graphical uses include the training of neural networks and cryptocurrency mining. History 1970s Arcade system boards have used specialized graphics circuits since the 1970s. In early video game hardware, RAM for frame buffers was expensive, so video chips composited data together as the display was being scann ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Stream Processing
In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views Stream (computing), streams, or sequences of events in time, as the central input and output objects of computation. Stream processing encompasses dataflow programming, reactive programming, and Distributed computing, distributed data processing. Stream processing systems aim to expose parallel computing, parallel processing for data streams and rely on streaming algorithms for efficient implementation. The Solution stack, software stack for these systems includes components such as programming models and query languages, for expressing computation; data stream management system, stream management systems, for distribution and scheduling (computing), scheduling; and hardware components for hardware acceleration, acceleration including floating-point units, graphics processing units, and field-programmable gate a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
DirectCompute
Microsoft DirectCompute is an application programming interface (API) that supports running compute kernels on general-purpose computing on graphics processing units on Microsoft's Windows Vista, Windows 7 and later versions. DirectCompute is part of the Microsoft DirectX collection of APIs, and was initially released with the DirectX 11 API but runs on graphics processing units that use either DirectX 10 or DirectX 11. The DirectCompute architecture shares a range of computational interfaces with its competitors: OpenCL from Khronos Group, compute shaders in OpenGL, and CUDA from NVIDIA. The DirectCompute API brings enhanced multi-threading capabilities to leverage the emerging advanced compute resources. The API is designed for non-graphical applications to access and use GPU resources. Compute Pipeline The Compute pipeline is a type of graphics pipeline used for dispatching and executing compute shaders. Compute pipelines are run through compute command lists, which are r ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
High-performance Computing
High-performance computing (HPC) is the use of supercomputers and computer clusters to solve advanced computation problems. Overview HPC integrates systems administration (including network and security knowledge) and parallel programming into a multidisciplinary field that combines digital electronics, computer architecture, system software, programming languages, algorithms and computational techniques. HPC technologies are the tools and systems used to implement and create high performance computing systems. Recently, HPC systems have shifted from supercomputing to computing clusters and grids. Because of the need of networking in clusters and grids, High Performance Computing Technologies are being promoted by the use of a collapsed network backbone, because the collapsed backbone architecture is simple to troubleshoot and upgrades can be applied to a single router as opposed to multiple ones. HPC integrates with data analytics in AI engineering workflows to generate ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
CUDA
In computing, CUDA (Compute Unified Device Architecture) is a proprietary parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs. CUDA was created by Nvidia in 2006. When it was first introduced, the name was an acronym for ''Compute Unified Device Architecture'', but Nvidia later dropped the common use of the acronym and now rarely expands it. CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications. CUDA is designed to work with programming languages such as C, C++, Fortran, Python and Julia. This accessibility makes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
BrookGPU
In computing, the Brook programming language and its implementation BrookGPU were early and influential attempts to enable general-purpose computing on graphics processing units (GPGPU). Brook, developed at Stanford University graphics group, was a compiler and runtime implementation of a stream programming language targeting modern, highly parallel GPUs such as those found on ATI or Nvidia graphics cards. BrookGPU compiled programs written using the Brook stream programming language, which is a variant of ANSI C. It could target OpenGL v1.3+, DirectX v9+ or AMD's Close to Metal for the computational backend and ran on both Microsoft Windows and Linux. For debugging, BrookGPU could also simulate a virtual graphics card on the CPU. Status The last major beta release (v0.4) was in October 2004 but renewed development began and stopped again in November 2007 with a v0.5 beta 1 release. The new features of v0.5 include a much upgraded and faster OpenGL backend which uses frameb ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
RapidMind
RapidMind Inc. was a privately held company founded and headquartered in Waterloo, Ontario, Canada, acquired by Intel in 2009. It provided a software product that aims to make it simpler for software developers to target multi-core processors and accelerators such as graphics processing units (GPUs). History RapidMind was started in 2004 based on the academic research related to the Sh project at the University of Waterloo. It received a seed round of financing (amount undisclosed) at the beginning of 2006, and raised its Series A round of $10 million Canadian in April 2007. RapidMind was acquired by Intel on 19 August 2009. Intel continued to sell RapidMind's primary product, a Multi-core Development Platform, through 2010. The RapidMind team and technology was integrated into the Intel Ct research project. The results of the combination were introduced in September 2010 as Intel Array Building Blocks. Multi-core development platform The platform was exposed as a set of C ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Lib Sh
Sh was an early metaprogramming language for programmable GPUs. It offered a general-purpose programming language, following a stream-processing model. Programs written in Sh could either run on CPUs or GPUs, obviating the need to write programs in a mix of two programming languages as was the case with earlier GPU programming systems such as Cg or HLSL. As of August 2006, it is no longer maintained. RapidMind Inc. was formed to commercialize the research behind Sh. RapidMind was then bought by Intel and ceased Sh development as well. See also *BrookGPU *CUDA * Close to Metal *OpenCL OpenCL (Open Computing Language) is a software framework, framework for writing programs that execute across heterogeneous computing, heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), di ... * RapidMind References External links * GPGPU GPGPU libraries {{Compu-graphics-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
DirectX
Microsoft DirectX is a collection of application programming interfaces (APIs) for handling tasks related to multimedia, especially game programming and video, on Microsoft platforms. Originally, the names of these APIs all began with "Direct", such as Direct3D, DirectDraw, DirectMusic, DirectPlay, DirectSound, and so forth. The name ''DirectX'' was coined as a shorthand term for all of these APIs (the ''X'' standing in for the particular API names) and soon became the name of the collection. When Microsoft later set out to develop a Video game console, gaming console, the ''X'' was used as the basis of the name Xbox (console), Xbox to indicate that the console was based on DirectX technology. The ''X'' initial has been carried forward in the naming of APIs designed for the Xbox such as DirectInput, XInput and the Cross-platform Audio Creation Tool (XACT), while the DirectX pattern has been continued for Windows APIs such as Direct2D and DirectWrite. Direct3D (the 3D graphics A ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
OpenGL
OpenGL (Open Graphics Library) is a Language-independent specification, cross-language, cross-platform application programming interface (API) for rendering 2D computer graphics, 2D and 3D computer graphics, 3D vector graphics. The API is typically used to interact with a graphics processing unit (GPU), to achieve Hardware acceleration, hardware-accelerated Rendering (computer graphics), rendering. Silicon Graphics, Inc. (SGI) began developing OpenGL in 1991 and released it on June 30, 1992. It is used for a variety of applications, including computer-aided design (CAD), video games, scientific visualization, virtual reality, and Flight simulator, flight simulation. Since 2006, OpenGL has been managed by the Non-profit organization, non-profit technology consortium Khronos Group. Design The OpenGL specification describes an abstract application programming interface, application programming interface (API) for drawing 2D and 3D graphics. It is designed to be implemented mostly ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Vector (mathematics And Physics)
In mathematics and physics, vector is a term that refers to physical quantity, quantities that cannot be expressed by a single number (a scalar (physics), scalar), or to elements of some vector spaces. Historically, vectors were introduced in geometry and physics (typically in mechanics) for quantities that have both a magnitude and a direction, such as displacement (geometry), displacements, forces and velocity. Such quantities are represented by geometric vectors in the same way as distances, masses and time are represented by real numbers. The term ''vector'' is also used, in some contexts, for tuples, which are finite sequences (of numbers or other objects) of a fixed length. Both geometric vectors and tuples can be added and scaled, and these vector operations led to the concept of a vector space, which is a set (mathematics), set equipped with a vector addition and a scalar multiplication that satisfy some axioms generalizing the main properties of operations on the abov ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Matrix (mathematics)
In mathematics, a matrix (: matrices) is a rectangle, rectangular array or table of numbers, symbol (formal), symbols, or expression (mathematics), expressions, with elements or entries arranged in rows and columns, which is used to represent a mathematical object or property of such an object. For example, \begin1 & 9 & -13 \\20 & 5 & -6 \end is a matrix with two rows and three columns. This is often referred to as a "two-by-three matrix", a " matrix", or a matrix of dimension . Matrices are commonly used in linear algebra, where they represent linear maps. In geometry, matrices are widely used for specifying and representing geometric transformations (for example rotation (mathematics), rotations) and coordinate changes. In numerical analysis, many computational problems are solved by reducing them to a matrix computation, and this often involves computing with matrices of huge dimensions. Matrices are used in most areas of mathematics and scientific fields, either directly ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
