vector processing

  • 21Physics processing unit — A physics processing unit (PPU) is a dedicated microprocessor designed to handle the calculations of physics, especially in the physics engine of video games. Examples of calculations involving a PPU might include rigid body dynamics, soft body… …

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  • 22Comparison of layout engines (Scalable Vector Graphics) — Scalable Vector Graphics SXBL SVG Working Group SVG filter effects Precision Graphics Markup Language Vector Markup Language XHTML+MathML+SVG SVG animation Comparison of layout engines (SVG) …

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  • 23Reset vector — is a computing term used to describe the default location a central processing unit will go to find the first instruction it will execute after a reset. That is to say, the reset vector is a pointer or address where the CPU should always begin as …

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  • 24Feature vector — In pattern recognition and machine learning, a feature vector is an n dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such… …

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  • 25Change vector — is a single change to a single data block. A change vector is the smallest unit of change recorded in the Redo log. Source for further reading Change Vector Categories: Oracle softwareTransaction processingComputing stubs …

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  • 26Neural Information Processing Systems — NIPS redirects here. For other uses, see NIP (disambiguation). The Conference on Neural Information Processing Systems (NIPS) is a machine learning and computational neuroscience conference held every December. The conference is a single track… …

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  • 27VPSS — Vector Processing Support System ( > IEEE Standard Dictionary ) …

    Acronyms

  • 28VPSS — Vector Processing Support System ( > IEEE Standard Dictionary ) …

    Acronyms von A bis Z

  • 29Parallel computing — Programming paradigms Agent oriented Automata based Component based Flow based Pipelined Concatenative Concurrent computing …

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  • 30SIMD — In computing, SIMD (Single Instruction, Multiple Data) is a technique employed to achieve data level parallelism, as in a vector processor. First made popular in large scale supercomputers (contrary to MIMD parallelization), smaller scale SIMD… …

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