Search Results - multiple data stream (architectures—array OR architectural—array) and vector process*
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Authors: et al.
Contributors: et al.
Subject Terms: Categories and Subject Descriptors C.1.2 [Processor Architectures, Multiple Data Stream Architectures—array and vector processors, MIMD, SIMD General Terms
File Description: application/pdf
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.393.744; http://cseweb.ucsd.edu/~marora/cse290/sp11/papers/batten2011.pdf
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Authors:
Source: Future Internet; Sep2024, Vol. 16 Issue 9, p341, 31p
Subject Terms: PROGRAMMING languages, VIRTUAL machine systems, DATA structures, CODE generators, WEB browsers
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Authors: et al.
Source: ISTI Technical reports, pp.1–18, 2001
Subject Terms: control structures and microprogramming: control structure reliability, Processors architectures: multiple data stream architectures ..Array and vector processors, Operating systems: reliability .. fault. Tolerance, Testing and fault. Tolerance .. Diagnostics, performance and reliability: reliability, testing and fault. Tolerance
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Source: Machine Learning & Knowledge Extraction; Mar2022, Vol. 4 Issue 1, p66-102, 37p
Subject Terms: ARTIFICIAL intelligence, MACHINE learning, COMPUTER systems, DEEP learning
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Source: ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 2016, Vol. 3 Issue 4, p111-118, 8p
Subject Terms: GEOSPATIAL data, BIG data, GEODATABASES
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ELM-NET, a closer to practice approach for classifying the big data using multiple independent ELMs.
Authors:
Source: Cluster Computing; Jun2020, Vol. 23 Issue 2, p735-757, 23p
Subject Terms: RUNNING training, BIG data, TEST methods
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7
Authors: et al.
Source: Journal of Circuits, Systems & Computers; Jun2023, Vol. 32 Issue 9, p1-27, 27p
Subject Terms: GATE array circuits, VIDEO coding, CLOCKS & watches, MULTICASTING (Computer networks)
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Authors:
Source: Computer System Design; 2011, p1-38, 38p
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Authors: et al.
Source: Cognitive Computation; Mar2020, Vol. 12 Issue 2, p369-387, 19p
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Authors: et al.
Source: IEEE Transactions on Vehicular Technology; Oct2018, Vol. 67 Issue 10, p9696-9710, 15p
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Authors: et al.
Source: Journal of Supercomputing; Apr2007, Vol. 40 Issue 1, p49-66, 18p, 6 Diagrams, 6 Charts, 3 Graphs
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Source: IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Oct2015, Vol. 8 Issue 10, p4665-4674, 10p
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Source: Remote Sensing; Oct2017, Vol. 9 Issue 10, p973, 17p
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Source: INFORMS Journal on Computing; Sep/Oct2023, Vol. 35 Issue 5, p1079-1097, 19p
Subject Terms: KNAPSACK problems, ARTIFICIAL intelligence, RECURRENT neural networks, DYNAMIC programming, COMBINATORIAL optimization, NP-hard problems
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Authors: et al.
Source: Distributed & Parallel Databases; Oct1999, Vol. 7 Issue 4, p383-414, 32p
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Authors: et al.
Source: Proceedings of Second International Workshop on Massively Parallel Processing Using Optical Interconnections; 1995, p336-344, 9p
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Source: Journal of Supercomputing; Aug2000, Vol. 17 Issue 1, p5-22, 18p
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Source: 2013 International Conference on Communication Systems & Network Technologies; 2013, p721-726, 6p
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Authors: et al.
Source: IEEE Signal Processing Magazine; Nov2009, Vol. 26 Issue 6, p55-63, 9p
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