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  2. Distributed computing - Wikipedia

    en.wikipedia.org/wiki/Distributed_computing

    Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components are located on different networked computers. [1] [2] The components of a distributed system communicate and coordinate their actions by passing messages to

  3. David Rumelhart - Wikipedia

    en.wikipedia.org/wiki/David_Rumelhart

    David Everett Rumelhart (June 12, 1942 – March 13, 2011) [1] was an American psychologist who made many contributions to the formal analysis of human cognition, working primarily within the frameworks of mathematical psychology, symbolic artificial intelligence, and parallel distributed processing.

  4. Grid computing - Wikipedia

    en.wikipedia.org/wiki/Grid_computing

    “Distributed” or “grid” computing in general is a special type of parallel computing that relies on complete computers (with onboard CPUs, storage, power supplies, network interfaces, etc.) connected to a network (private, public or the Internet) by a conventional network interface producing commodity hardware, compared to the lower efficiency of designing and constructing a small ...

  5. Construction and Analysis of Distributed Processes - Wikipedia

    en.wikipedia.org/wiki/Construction_and_Analysis...

    CADP [1] (Construction and Analysis of Distributed Processes) is a toolbox for the design of communication protocols and distributed systems. CADP is developed by the CONVECS team (formerly by the VASY team) at INRIA Rhone-Alpes and connected to various complementary tools.

  6. Distributed networking - Wikipedia

    en.wikipedia.org/wiki/Distributed_Networking

    The goal of a distributed network is to share resources, typically to accomplish a single or similar goal. [1] [2] Usually, this takes place over a computer network, [1] however, internet-based computing is rising in popularity. [3] Typically, a distributed networking system is composed of processes, threads, agents, and distributed objects. [3]

  7. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...

  8. images.huffingtonpost.com

    images.huffingtonpost.com/2012-08-30-3258_001.pdf

    Created Date: 8/30/2012 4:52:52 PM

  9. ODP - Wikipedia

    en.wikipedia.org/wiki/ODP

    Bahasa Indonesia; Italiano; ... Download as PDF; Printable version; In other projects ... RM-ODP, reference model of open distributed processing