Vector Processing is a computational paradigm in parallel computer architecture that performs synchronized operations on one-dimensional arrays of data (vectors) through dedicated hardware units, distinguishing it from scalar and superscalar processing by exploiting fine-grained data-level parallelism across ordered sequences of operands.
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Parallel Processing with the Perfect Shuffle
Harold S. Stone · IEEE Transactions on Computers · 1971 · 1.3K citations
Richard M. Russell · Communications of the ACM · 1978 · 697 citations · Full text
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Universitat Politècnica de Catalunya
Barcelona, Spain
17 h-index
106 publications
4K citations
Intel (United States)
Santa Clara, United States
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44 publications
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University of Illinois Urbana-Champaign
Urbana, United States
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Berkeley, United States
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51 publications
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Houston, United States
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19 publications
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Pittsburgh, United States
11 h-index
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Barcelona Supercomputing Center
Barcelona, Spain
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62 publications
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Stanford, United States
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