Vectorization computer

Niedrige Preise, Riesen-Auswahl. Kostenlose Lieferung möglic Mit integriertem Werbeblocker, Webcam Guard, Bankmodus, Anti-Track und mehr. Ein Browser, der Suchverlauf und Online-Aktivitäten nicht speichert. Kostenloser Download Clearly, there is much room for advances in compiler technology. An important enabler of these future advances is data on the effectiveness of compilers on different classes of codes and target machines, the progress of compilers across successive versions, and the effectiveness of transformations in isolation and when combined with other transformations

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In programming and computer science, vectorization is the process of applying operations to an entire set of values at once. These definitions still don't quite offer a clear explanation for how.. Vectorization is the process of converting an algorithm from operating on a single value at a time to operating on a set of values (vector) at one time. Modern CPUs provide direct support for vector operations where a single instruction is applied to multiple data (SIMD) Vectorization, an extremely important concept in high-performance scientific computing, is the process of simultaneous execution of a set of computer instructions. This is contrary to the idea of looping and iteration which performs all program instructions sequentially. Vectorization can lead to significant runtime speed-up of the code elements. Vectorization transforms these loops into instruc-tions that work on multiple data items simultaneously. Typi-cally, vectorization targets either high-end vector processors or microprocessor vector extensions. Vector processors were the main components of the supercomputers of the 1980s and early 1990s. Vector extensions for general purpose microprocessor

Vectorization of Computer Programs with Applications to Computational Fluid Dynamics, Buch (kartoniert) von Wolfgang Gentzsch bei hugendubel.de. Portofrei bestellen oder in der Filiale abholen Presented at the Argonne Training Program on Extreme-Scale Computing, Summer 2016.Slides for this presentation are available here: http://extremecomputingtra.. In Computer science the process of converting an algorithm from a scalar implementation, which does an operation one pair of operands at a time, to a vector process where a single instruction can refer to a vector (series of adjacent values) is called vectorization

Image Vectorization is the process of converting raster images into vector graphics - the Bezier splines and lines. Vector images are constructed and stored as a set of commands, numbers, formulas, not in a pixel grid as in bitmaps. Vectorization allows to scale and rotate images without losing quality. ❓ How can I Vectorize Images The scope of the present book is to offer the most efficient tools for the vectorization of serial computer programs. Here, by vectorization we understand the adaptation of computer programs to the special architecture of modern available vector computers to exploit fully their potential, which will often result in remarkable performance improvements SIMD and Vectorization: Parallelism in C++ #1/3 (multitasking on single core) - YouTube

If vectorization intensity is < . 0.5, the vector units of Knights Landing are not effectively being utilized in the application — typically indicated poor vectorization by the compiler due to some issues in the code.. For example, lots of scalar operations or lots of gathers and scatters lower vectorization intensity. The compiler vectorization report should be examined and see if the code. We call vectorization the general process of turning a collection of text documents into numerical feature vectors. This specific strategy (tokenization, counting and normalization) is called the Bag of Words or Bag of n-grams representation. Documents are described by word occurrences while completely ignoring the relative position. Vectorization is the process of converting an algorithm from operating on a single value at a time to operating on a set of values (vector) at one time. Modern CPUs provide direct support for vector operations where a single instruction is applied to multiple data (SIMD). For example a CPU with a 512 bit register could hold 16 32-bit single precision doubles and do a single calculation 16. Vectorization of Computer Programs with Applications to Computational Fluid Dynamics (Notes on Numerical Fluid Mechanics and Multidisciplinary Design (8), Band 8) | Gentzsch, Wolfgang | ISBN: 9783528080822 | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon

The Intel compiler has several options for vectorization. One option is the -x flag, which tells the compiler to generate specific vectorization instructions. The -x flag takes a mandatory option, which can be AVX (i.e., -xAVX), SSE4.2, SSE4.1, SSE3, SSE2, etc. The processor on which a user runs must support the vectorization instructions. Vectorization need not be limited to single register which can hold large data. Like using '128' bit register to hold '4 x 32' bit data. It depends on architectural limitations. Some architecture have different execution units which have registers of their own. In that case, a part of the data can be fed to that execution unit and the result.

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  1. Define vectorization. vectorization synonyms, vectorization pronunciation, vectorization translation, English dictionary definition of vectorization. or n the process of converting from a bitmap image to a vector representation Collins English Dictionary - Complete and Unabridged, 12th Edition 2014 ©... Vectorization - definition of vectorization by The Free Dictionary. https://www.
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  3. Vectorization by P. Sadayappan. Professor Sadayappan's current research centers around domain-specific compiler optimization and high-performance scientific computing, including some recent projects such as the PolyOpt polyhedral optimizer in the ROSE compiler and the Tensor Contraction Engine
  4. Vectorization and Parallelization of Loops in C/C++ Code Xuejun Liang,Ali A. Humos, and Tzusheng Pei Department of Computer Science, Jackson State University, Jackson, MS, USA Abstract - Modern computer processors can support parallel execution of a program by using their multicores. Computers can also support vector operations by using their extended SIMD instructions. To make a computer.
  5. I am Ritchie Ng, a machine learning engineer specializing in deep learning and computer vision. Check out my code guides and keep ritching for the skies

Vectorization Using Vectorization. MATLAB ® is optimized for operations involving matrices and vectors. The process of revising loop-based, scalar-oriented code to use MATLAB matrix and vector operations is called vectorization. Vectorizing your code is worthwhile for several reasons: Appearance: Vectorized mathematical code appears more like the mathematical expressions found in textbooks. Vectorization is the process of transforming the scalar implementation of an algorithm into vector form. This transformation aims to benefit from parallelism through the generation of microprocessor vector instructions. Using abstract models and source level information, compilers can identify opportunities for auto-vectorization. However, compilers do not always predict the runtime effects. Without vectorization (as in other languages) one has to use for loop for performing element by element operation on say vectors. Subsetting Vectors in R Language. By subsetting vectors means that extracting the elements of a vector. For this purpose square brackets ([ ]) are used. For example; x <- c(1, 6, 10, -15, 0, 13, 5, 2, 10, 9) # Subsetting Examples x[1] # extract first element of x. Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting, CVPR 2021. Ayan Kumar Bhunia, Pinaki nath Chowdhury, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song, Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021

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What is Vectorization? Webopedi

  1. Compiled programs are translated into binary computer language after they are written, but before they are run and this occurs over the whole program, rather than line-by-line. This allows the compiler to organize the binary machine code in an optimal way for the computer to interpret. What does this have to do with vectorization in R
  2. For Natural Language Processing (NLP) to work, it always requires to transform natural language (text and audio) into numerical form. Text vectorization techniques namely Bag of Words and tf-idf vectorization, which are very popular choices for traditional machine learning algorithms can help in converting text to numeric feature vectors
  3. The vectorization task is equally important for other vector processors, like the Cray-1, -XMP, -YMP, -C90, -T90, -J90, the CDC Cyber 205/ETA-10, or the modern Cray-X1. The parallelization task comes in only for parallel processors, i.e. the Cray-XMP, -YMP, -C90, -T90, -J90, -X1, but also MPP (massively parallel) systems like the Cray-T3E. There is no principal difference between the very.
  4. utes to read; T; v; c; n; m +4 In this article . Auto-Parallelizer and Auto-Vectorizer are designed to provide automatic performance gains for loops in your code. Auto-Parallelizer. The /Qpar compiler switch enables automatic parallelization of loops in your code. When you specify this flag without changing your existing code, the.
  5. ique Favreau, Florent Lafarge, and Adrien Bousseau. 2016. Fidelity vs. simplicity: A global approach to line drawing vectorization. ACM Trans. Graph. (SIGGRAPH.
  6. If you didn't already do this, please follow the Code Club Computer Setup instructions, which also have pointers for if you're new to R or RStudio. If you're able to do so, please open RStudio a bit before Code Club starts - and in case you run into issues, please join the Zoom call early and we'll help you troubleshoot. Session goals. Today, you will learn: That you should avoid.
  7. computer programs. Here, by vectorization we understand the adaptation of computer programs to the special architecture of modern available vector computers to exploit fully their potential, which will often result in remarkable performance improvements. The book is written primarily for users working in the various fields of computational physics, for scientists as well as for programmers.

How Compiler Vectorization in Computer Architecture Can

Vectorization is a parallel #computing method that compiles repetitive program instructions into a single #vector (combination of multiple datasets), which is then executed simultaneously and.. Look at other dictionaries: Vectorization — may refer to: * Vectorization (computer graphics), the process of converting raster graphics into vector graphics. * Vectorization (computer science), converting a computer program from a scalar implementation to a vectorized program Format: Asynchronous Nominal duration: Self-paced Learning - Approximate Time: 1 hour Professional Development Hours (PDH) : 1 Continuing Education Credits (CEU) : 0.1 This video course is part of Multi-Core Lecture Series consists of 11 one-hour lectures by some of the world's leading researchers in the field

Outer loop vectorization refers to vectorizing a level of a loop nest other than the innermost, which can be beneficial if the outer loop exhibits greater data-level parallelism and locality than the innermost loop. Outer loop vectorization has traditionally been performed by interchanging an outer-loop with the innermost loop, followed by vectorizing it at the innermost position. A more. Video Vectorization. Vectorly is developing a new kind of video compression technology, which uses computer vision and vector graphics to reduce bitrates for video content by an order of magnitude (or more) compared to HEVC, while improving video quality The scope of the present book is to offer the most efficient tools for the vectorization of serial computer programs. Here, by vectorization we understand the adaptation of computer programs to the special architecture of modern available vector computers to exploit fully their potential, which will often result in remarkable performance improvements. The book is written primarily for users. Vectorization processing is proposed to avoid time-consuming loop operations involved in likelihood function. computing scheme was developed to allow the TMCMC stochastic simulation to run across multiple CPU cores on multiple computers in a network. The case studies demonstrated that the fast-computational scheme could exploit the availability of high-performance computing facilities to.

What Is Vectorization? - Absolute Digitizin

Vectorization of Computer Programs with Applications to Computational Fluid Dynamics book. Read reviews from world's largest community for readers. The s.. Title: Pipeline vectorization - Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Author: IEEE Created Date: 3/1/2001 9:39:26 A Computer hardware in today's world leverages parallel computing for faster computation by making use of SIMD (Single Instruction, Multiple Data) architectures. SIMD is a class of parallel computing Get started. Open in app. Sign in. Get started. Follow. 592K Followers · Editors' Picks Features Deep Dives Grow Contribute. About. Get started. Open in app. Python & Vectorization. Rochak. SVG Text to Vector, Text Vectorization, Text Security, Vectorize Tex vectorization program. vectorization program: translation . 向量化程序. English-Chinese computer dictionary (英汉计算机词汇大词典). 2013. vectorization; vectorization ratio; Look at other dictionaries: Vectorization (computer science).

Vectorization is not only unique to Octave but it is also important since octave is matrix-based. Vectorization help produce a shorter and clean code in development process and aside from that, it. Vectorization of Computer Programs with Applications to Computational Fluid Dynamics von Wolfgang Gentzsch. € 142,99. In den Warenkorb. Lieferung in 2-7 Werktagen Verlag:. Here are my notes from a recent talk I gave on vectorization at a Davis R Users' Group meeting. Thanks to Vince Buffalo, John Myles White, and Hadley Wickham for their input as I was preparing this. Feedback welcome! Beginning R users are often told to vectorize their code. Here, I try to explain why vectorization can be advantageous in R by showing how R works under the hood

What is Vectorization in Machine Learning? by Jalal

Computer Systems (ANU) Vectorization & Cache Organization Feb 11, 2020 19 / 85. Single Instruction Multiple Data (SIMD) Operations Using SIMD Operations SIMD Data Types - ARM NEON vector data types have the following pattern: <type><size>x<number of lanes> t 64-bit type (D-register) 128-bit type (Q-register) Content int8x8 t int8x16 t 8-bit char int16x4 t int16x8 t 16-bit int int32x2 t int32x4. Viele übersetzte Beispielsätze mit vectorization - Deutsch-Englisch Wörterbuch und Suchmaschine für Millionen von Deutsch-Übersetzungen It's no longer the RAM speed. I think my code and Walter code requires some big copy of extra temporary array and your computer (has barely enough memory) starts to swap the RAM to the hard drive that slows down the runtime. Your code however requires only a small chunk extra of memory and it can run entirely without swapping onto HD. Bruno Luong on 15 Aug 2020. × Direct link to this comment. Vectorization of Computer Programs With Application to Computational Fluid Dynamics de Gentzsch, Wolfgang sur AbeBooks.fr - ISBN 10 : 3528080825 - ISBN 13 : 9783528080822 - Friedrich Vieweg & Sohn Verlagsgesellschaft mbH - 1984 - Couverture soupl School of Computer Science and Engineering, UNSW, Sydney, Australia 2052 fysui, fanx, haozhou, jinglingg@cse.unsw.edu.au Abstract Compiler-based auto-vectorization is a promising solution to au-tomatically generate code that makes efficient use of SIMD pro- cessors in high performance platforms and embedded systems. Two main auto-vectorization techniques, superword-level paral-lelism.

Image tracing - Wikipedi

inates from vector computers and the vectorization of basic blocks is related to instruction-level parallelism. However, when these well-established techniques are targeted at short vector extensions, they introduce a considerable overhead in the resulting codes. Only algorithms having very regular struc- ture (e.g., algorithms in 3D graphics) can be mapped to short vector instructions in this. Vectorization. Vectorization is a topic that we will cover only very briefly, mostly to make you aware of its existence. Before we head into details, let's take a look at this picture . This picture summarizes what is known as 'Flynn's taxonomy', which is a classification of computer architectures in terms of data pools and instruction pools, based on the number of concurrent instruction. What is vectorized code? Consider the two code fragments below. Both accomplish the same thing and use vectors, but one fragment is vectorized while the other is not

Vectorization is a technique to implement arrays without the use of loops. Using a function instead can help in minimizing the running time and execution time of code efficiently. Various operations are being performed over vector instead of arrays such as dot product of vectors which is also known as scalar product as it produces single output, outer products which results in square matrix of. Vectorization 2: Solidization and Contourization of Raster Pictures. Index. Solidization of Raster Pictures . In this setting all pixel images are vectorized and embedded into the drawing as an entity Solid (filled rectangle). All solids that have close to the same color will be connected to create one common solid. This option is ideal for colorful pictures or bad quality scans. Original.

In computer graphics, vectorization refers to the process of converting raster graphics into vector graphics. Popular applications: In computer-aided design (CAD) drawings (blueprints etc.) are scanned, vectorized and written as CAD files in a process called paper-to-CAD conversion or drawing conversion.; In geographic information systems (GIS) satellite or aerial images are vectorized to. ing language, a computer graphics DSL that is widely used for visual effects in the movie industry, and per-formed experiments with a real-time ray tracer. Second, we implemented a prototypical OpenCL driver that uses the presented vectorization algorithm. We show an aver-age speedup of 3.9 for the ray tracer and speedups be-tween 0.6 and 5.2 for different OpenCL applications. 1.2 Structure of.

My goal this week is to show you how to use the compiler to get vectorization into your code. But before we go there, I would like to show you an alternative method, explicit vectorization, which will allow you to study what happens behind the scenes when the compiler vectorizes your code. When you are adding two arrays like in the previous example, element by element, you will actually call. Vectorization and computational speed numbers is a computer a represented with a finite numbers of bits. integers are simply the traditional integer numbers expressed in binary format, and can range from 8 bits (one byte) to 64 bits. How would you represent a number with a non integer part? one could use a fixed part of your available bites to represent the integer part and another one to.

Vectorization - Wikipedi

What is vectorization? - Stack Overflo

Vectorization and Symbol recognition are altogether different methods. Vectorization traces a line in the middle of pixel traces and smooths it into a few iterations. Symbol recognition uses artificial intelligence methods to recognize what kind of symbol is presented in a detected part of a raster picture. Print2CAD offers following artificial intelligence recognition methods: - Recognition. a computer program from a scalar implementation, which processes a single pair of operands at a time to a vector implementation, which performs a single operation on mul-tiple data (SIMD) items at once is called vectorization, and is critical to enhancing the performance of compute-intensive programs for modern computers Programming in Scilab Micha el Baudin September 2011 Abstract In this document, we present programming in Scilab. In the rst part, we present the management of the memory of Scilab

Vectorized CRT Monitor Stock [PNG] by Halfingr on DeviantArt

Vectorization of Computer Programs with Applications to

4.1.1. Comparison of different vectorization compression methods. In the section, we compare the performance of proposed vectorization compression method with adaptive, proximity, rosin and distance , respectively. The experimental results are shown in Table 2, and the effects of compressed contour curves are shown in Fig. 21 In computer science, vectorization is the process of converting an algorithm from a scalar implementation to a vector process. It does an operation on all the pairs of operands stored in SIMD. Read VECTORIZATION OF COMPUTER PROGRAMS WITH APPLICATIONS TO COMPUTATIONAL FLUID DYNAMICS PDF direct on your iPhone, iPad, android, or PC. PDF File: Vectorization Of Computer Programs With Applications To Computational Fluid Dynamics - PDF-VOCPWATCFD28- Download full version PDF for Vectorization Of Computer Programs With Applications To Computational Fluid Dynamics using the link below. vectorization raster images computer automated automated computer Prior art date 2000-07-14 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Withdrawn Application number GB0017284A Other versions GB2366108A (en Current Assignee (The listed assignees may. In spring 2015, HLRS installed a next generation vector computer, a NEC SX-ACE. The participants learn about the configuration of the NEC SX-ACE system at HLRS and how to use this cluster of vectorizing shared memory nodes. One focus is an introduction in vectorization. More experienced users can learn how to optimize programs based on performance measurements. Additional topics are I/O and.


A computer automated process for vectorizing raster images to create usable graphic files which can be manipulated by CAD software. The present process makes use of the geometric relationship among the graphic elements contained in the raster image and keeps the graphics elements as a whole during the process of vectorization. The present process not only recognizes the whole line, but also. Auto-Vectorization for Newer Instruction Sets in Rust In the previous article on auto-vectorization we treated instructions as either SIMD (Single Instruction Multiple Data) or non-SIMD. We also assumed that SIMD meant four values at a time. That was true for way we wrote and compiled our code in that article, but we're going to expand beyond that Performance Tuning Using Vectorization. Talk presented at GOTiT e-Seminar. RZG, Garching. 2011-02-22. Talk presented at GOTiT e-Seminar. RZG, Garching. 2011-02-22 computer architecture and programming in Fortran. It was designed to serve as a starting point for people working on the vectorization of applications, and does not address the subject in all its details. Key-words: Fortran, vectorization, parallelization, compiler ∗ Contact: laercio.lima@inria.fr. Notions debasepourla vectorisation des applications Fortran R´esum´e : Ce document pr. For photos, vectorization is more of a stylistic effect, somewhat like the rotoscoping effect in the recent movies A Scanner Darkly and Waking Life. It is traditionally done by hand, with the artist carefully redrawing every detail, but for a couple decades now, there have been a number of attempts to produce an automatic computer tool for performing these conversions

Understanding Vectorization in NumPy and Pandas by Mike

Tech Computer Dictionary Search. Search This Blog Definition of vectorization (autotracing) February 24, 2021 Vectorization or autotracing (autocalco, autotraceo), is the technique of converting a bitmap image into vector graphics.It is done through software applications such as the free Inkscape program. Bitmap images (bitmap or rasterized) are represented or constituted by dots (pixels).This. Added OpenMP pragmas to the function declarations in sleef.h to enable auto-vectorization by GCC (PR #404, #406) 3.5.1 (Released on Sep 15, 2020) Fixed a bug in handling compiler options; 3.5 (Released on Sep 1, 2020) IBM System/390 support is added (PR #291) The library can be built with Clang on Windows (PR #300

Vectorization: A Key Tool To Improve Performance On Modern

These images can be interpreted very easily by the chemist, but pose a large problem to the computer. For example the following figure shows the same molecule drawn with two different tools. So far the computer cannot perceive this equivalence from the picture itself. Therefore you cannot search for molecules in pictures or index documents with pictures. E.g. try to search th Vectorization of a Sample Program on Different Vector and Parallel Computers -- 4.1 Vectorization on the CRAY-1 -- 4.2 Vectorization on the CDC CYBER 205 -- 4.3 Vectorization on HITACHIโ{128}{153}s S9 with IAP -- 4.4 Vectorization on the ICL DAP -- 4.5 Parallelization on DENELCORโ{128}{153}s HEP -- 5. Restructuring of Basic Linear Algebra Algorithms -- 5.1 Basic Vector Operations -- 5.2. High Performance Computer for Fusion Applications - High Level Support Core Team, Max Planck Institute for Plasma Physics, Max Planck Society; Externe Ressourcen Es sind keine externen Ressourcen hinterlegt. Volltexte (frei zugänglich) IPP 5_126.pdf (beliebiger Volltext), 1000KB Ergänzendes Material (frei zugänglich) Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar.

Vectorization and array computing Data Science with Pytho

Analytics by Enhancing Locality & Vectorization Serif Yesil Dept. of Computer Science University of Illinois at Urbana-Champaign syesil2@illinois.edu Azin Heidarshenas Dept. of Computer Science University of Illinois at Urbana-Champaign heidars2@illinois.edu Adam Morrison Blavatnik School of Computer Science Tel Aviv University mad@cs.tau.ac.il Josep Torrellas Dept. of Computer Science. Computer Science > Computer Vision and Pattern Recognition. Title: On Vectorization of Deep Convolutional Neural Networks for Vision Tasks. Authors: Jimmy SJ. Ren, Li Xu (Submitted on 29 Jan 2015) Abstract: We recently have witnessed many ground-breaking results in machine learning and computer vision, generated by using deep convolutional neural networks (CNN). While the success mainly stems. Vectorization of Computer Programs with Applications to Computational Fluid Dynamics by Wolfgang Gentzsch, 9783528080822, available at Book Depository with free delivery worldwide Datum: 30. Juli 2013 (Original-Hochladedatum) Vektorisierung 15. August 2017 (Hochladedatum): Quelle: Eigenes Werk, basierend auf: Ícono Computadora - Internet.JPG (by Inter Oficial) Urheber! Original: Inter Oficial Vektor: Perhelion SVG‑Erstellung Der Quelltext dieser SVG-Datei ist Dieses Icon wurde von Perhelion mit Inkscape erstellt Vector Computers (NEC SX6, Earth simulator) How to use it: compiler vectorization, class library, intrinsics, inline assembly Writing code for Intel's SSE Compiler vectorization Intrinsics: instructions Intrinsics: common building blocks Selected topics SSE integer instructions Other SIMD extensions: AltiVec/VMX, Cell SPU Conclusion: How to write good vector code. Carnegie Mellon AltiVec.

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In Visual Studio 2019 version 16.3 we added AVX-512 support to the auto-vectorizer of the MSVC compiler. This post will show some examples and help you enable it in your projects. What is the auto vectorizer? The compiler's auto vectorizer analyzes loops in the user's source code and generates vectorized code for a vectorization target where feasible and beneficial It covers more advanced programming concepts such as recursion, vectorization, function handles, algorithm efficiency and others. At the same time, it presents many features that make MATLAB a powerful programming environment for engineering and scientific computing, such as its support for object oriented programming, the new user interface design environment and Live Scripts. By the end of. Sebastian Hack is a professor of computer science at Saarland University. His work focuses on compiler construction, especially code generation, automatic vectorization and parallelization. Before, he was an assistant professor at Saarland University, a Post-Doc a Download Citation | Vectorization method on the color Cloud Image | The vectorization, which is an interdisciplinary combining subjects of the computer vision, computer image processing, computer. Deep Learning Assisted Computer Vision System For Traffic Sign Classification and Detection Synopsis (Get full documentation here). Computers, as we have around today, are GIGO (Garbage-in-Garbage-Out) devices which are only capable of producing results based on what is inputted into them and how they have been originally programmed to respond to such inputs

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