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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 ...
The term Distributed GIS was coined by Bruce Gittings at the University of Edinburgh.He was responsible for one of the first Internet-based distributed GIS.In 1994, he designed and implemented the World Wide Earthquake Locator, which provided maps of recent earthquake occurrences to a location-independent user, which used the Xerox PARC Map Viewer (based in California, USA), managed by an ...
Parallel rendering (or distributed rendering) is the application of parallel programming to the computational domain of computer graphics. Rendering graphics can require massive computational resources for complex scenes that arise in scientific visualization , medical visualization , CAD applications, and virtual reality .
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.
CORBA lets one build distributed mixed object systems. DCOM is a framework for distributed objects on the Microsoft platform. DDObjects is a framework for distributed objects using Borland Delphi. Jt is a framework for distributed components using a messaging paradigm. JavaSpaces is a Sun specification for a distributed, shared memory (space based)
Distributed Processing Technology Corporation (DPT) was an American computer hardware company active from 1977 to 1999. Founded in Maitland, Florida , DPT was an early pioneer in computer storage technology, popularizing the use of disk caching in the 1980s and 1990s.
Distributed data processing. Distributed data processing [1] (DDP) [2] was the term that IBM used for the IBM 3790 (1975) and its successor, the IBM 8100 (1979). Datamation described the 3790 in March 1979 as "less than successful." [3] [4] Distributed data processing was used by IBM to refer to two environments: IMS DB/DC; CICS/DL/I [5] [6]
Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision-making problems.It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources.