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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 As of August 2006, it is no longer maintained.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), d ... * RapidMind References External links * GPGPU GPGPU libraries {{Compu-graphics-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Metaprogramming
Metaprogramming is a programming technique in which computer programs have the ability to treat other programs as their data. It means that a program can be designed to read, generate, analyze or transform other programs, and even modify itself while running. In some cases, this allows programmers to minimize the number of lines of code to express a solution, in turn reducing development time. It also allows programs a greater flexibility to efficiently handle new situations without recompilation. Metaprogramming can be used to move computations from run-time to compile-time, to generate code using compile time computations, and to enable self-modifying code. The ability of a programming language to be its own metalanguage is called reflection. Reflection is a valuable language feature to facilitate metaprogramming. Metaprogramming was popular in the 1970s and 1980s using list processing languages such as LISP. LISP hardware machines were popular in the 1980s and enabled a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 graph ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cg (programming Language)
Cg (short for C for Graphics) and High-Level Shader Language (HLSL) are two names given to a high-level shading language developed by Nvidia and Microsoft for programming shaders. Cg/HLSL is based on the C programming language and although they share the same core syntax, some features of C were modified and new data types were added to make Cg/HLSL more suitable for programming graphics processing units. Two main branches of the Cg/HLSL language exist: the Nvidia Cg compiler (cgc) which outputs DirectX or OpenGL and the Microsoft HLSL which outputs DirectX shaders in bytecode format. Nvidia's cgc was deprecated in 2012, with no additional development or support available. HLSL shaders can enable many special effects in both 2D and 3D computer graphics. The Cg/HLSL language originally only included support for vertex shaders and pixel shaders, but other types of shaders were introduced gradually as well: * DirectX 10 (Shader Model 4) and Cg 2.0 introduced geometry shaders. * D ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
High-Level Shader Language
The High-Level Shader Language or High-Level Shading Language (HLSL) is a proprietary shading language developed by Microsoft for the Direct3D 9 API to augment the shader assembly language, and went on to become the required shading language for the unified shader model of Direct3D 10 and higher. HLSL is analogous to the GLSL shading language used with the OpenGL standard. It is very similar to the Nvidia Cg shading language, as it was developed alongside it. Early versions of the two languages were considered identical, only marketed differently. HLSL shaders can enable profound speed and detail increases as well as many special effects in both 2D and 3D computer graphics. HLSL programs come in six forms: pixel shaders (fragment in GLSL), vertex shaders, geometry shaders, compute shaders, tessellation shaders (Hull and Domain shaders), and ray tracing shaders (Ray Generation Shaders, Intersection Shaders, Any Hit/Closest Hit/Miss Shaders). A vertex shader is executed for e ... [...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] |
BrookGPU
The Brook programming language and its implementation BrookGPU were early and influential attempts to enable general-purpose computing on graphics processing units. 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 framebuffer objects instea ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
CUDA
CUDA (or Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for general purpose processing, an approach called general-purpose computing on GPUs ( GPGPU). 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. CUDA is designed to work with programming languages such as C, C++, and Fortran. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL, which required advanced skills in graphics programming. CUDA-powered GPUs also support programming frameworks such as OpenMP, OpenACC and OpenCL; and HIP by compiling such code to CUDA. CUDA was created by Nvidia. When it was first introduced, the name was an acronym for Compute Unified Device ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Close To Metal
In computing, Close To Metal ("CTM" in short, originally called ''Close-to-the-Metal'') is the name of a beta version of a low-level programming interface developed by ATI, now the AMD Graphics Product Group, aimed at enabling GPGPU computing. CTM was short-lived, and the first production version of AMD's GPGPU technology is now called AMD Stream SDK, or rather the current AMD APP SDK for Windows and Linux 32-bit and 64-bit. APP stands for "Accelerated Parallel Processing" and also targets Heterogeneous System Architecture. Overview Close To Metal, originally called THIN (Thin Hardware INterface) and Data Parallel Virtual Machine, gave developers direct access to the native instruction set and memory of the massively parallel computational elements in modern AMD video cards. CTM bypassed the graphics-centric DirectX and OpenGL APIs for the GPGPU programmer to expose previously unavailable low-level functionality, including direct control of the stream processors/ALUs and the me ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
OpenCL
OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators. OpenCL specifies programming languages (based on C99, C++14 and C++17) for programming these devices and application programming interfaces (APIs) to control the platform and execute programs on the compute devices. OpenCL provides a standard interface for parallel computing using task- and data-based parallelism. OpenCL is an open standard maintained by the non-profit technology consortium Khronos Group. Conformant implementations are available from Altera, AMD, ARM, Creative, IBM, Imagination, Intel, Nvidia, Qualcomm, Samsung, Vivante, Xilinx, and ZiiLABS. Overview OpenCL views a computing system as consisting of a number of ''compute devices'', which ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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