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  2. Compilers: Principles, Techniques, and Tools - Wikipedia

    en.wikipedia.org/wiki/Compilers:_Principles...

    005.4/53 19. LC Class. QA76.76.C65 A37 1986. Compilers: Principles, Techniques, and Tools[1] is a computer science textbook by Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman about compiler construction for programming languages. First published in 1986, it is widely regarded as the classic definitive compiler technology text.

  3. Instruction pipelining - Wikipedia

    en.wikipedia.org/wiki/Instruction_pipelining

    In computer engineering, instruction pipelining is a technique for implementing instruction-level parallelism within a single processor. Pipelining attempts to keep every part of the processor busy with some instruction by dividing incoming instructions into a series of sequential steps (the eponymous "pipeline") performed by different processor units with different parts of instructions ...

  4. Science, technology, engineering, and mathematics - Wikipedia

    en.wikipedia.org/wiki/Science,_technology...

    Science, technology, engineering, and mathematics (STEM) is an umbrella term used to group together the distinct but related technical disciplines of science, technology, engineering, and mathematics. The term is typically used in the context of education policy or curriculum choices in schools. It has implications for workforce development ...

  5. Functional programming - Wikipedia

    en.wikipedia.org/wiki/Functional_programming

    Functional programming. In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions. It is a declarative programming paradigm in which function definitions are trees of expressions that map values to other values, rather than a sequence of imperative statements which ...

  6. Pipeline (software) - Wikipedia

    en.wikipedia.org/wiki/Pipeline_(software)

    Pipeline (software) In software engineering, a pipeline consists of a chain of processing elements (processes, threads, coroutines, functions, etc.), arranged so that the output of each element is the input of the next. The concept is analogous to a physical pipeline. Usually some amount of buffering is provided between consecutive elements.

  7. Continuous integration - Wikipedia

    en.wikipedia.org/wiki/Continuous_integration

    The earliest known work (1989) on continuous integration was the Infuse environment developed by G. E. Kaiser, D. E. Perry, and W. M. Schell. [4]In 1994, Grady Booch used the phrase continuous integration in Object-Oriented Analysis and Design with Applications (2nd edition) [5] to explain how, when developing using micro processes, "internal releases represent a sort of continuous integration ...

  8. Stream processing - Wikipedia

    en.wikipedia.org/wiki/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 streams, or sequences of events in time, as the central input and output objects of computation. Stream processing encompasses dataflow programming, reactive programming ...

  9. Incremental compiler - Wikipedia

    en.wikipedia.org/wiki/Incremental_compiler

    Incremental compiler. An incremental compiler is a kind of incremental computation applied to the field of compilation. Quite naturally, whereas ordinary compilers make a so-called clean build, that is, (re)build all program modules, an incremental compiler recompiles only modified portions of a program.

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