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https://doi.org/10.18130/v3fc6...
Doctoral thesis . 2017 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.18130/v3...
Doctoral thesis . 1995
Data sources: Datacite
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Maximizing Memory Bandwidth for Streamed Computations

Authors: McKee, Sally A.;

Maximizing Memory Bandwidth for Streamed Computations

Abstract

Processor speeds are increasing much faster than memory speeds, and thus memory bandwidth is rapidly becoming the limiting performance factor for many applications, particularly those whose inner loops linearly traverse streams of vector-like data. Because they execute sustained accesses, these streaming computations are limited more by bandwidth than by latency. Examples of these kinds of programs include vector (scientific) computations, multi-media compression and decompression, encryption, signal processing, image processing, text searching, some database queries, some graphics applications, and DNA sequence matching.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze