Gshare Prediction
Gshare Prediction is a dynamic branch prediction technique that belongs to the class of two-level adaptive predictors, distinguished by its use of a global history register XORed with the branch address to index a pattern history table, thereby enabling more accurate prediction of correlated branches.
16
Publications
1.1K
Citations
37
Authors
11
Institutions
Publications per year
2017–2026
1
Variants
Gshare Branch Prediction
Parents
16
Dynamic branch prediction with perceptrons
Daniel A. Jiménez, Calvin Lin · 2002 · 410 citations
The YAGS branch prediction scheme
A.N. Eden, Trevor Mudge · 1998 · 152 citations
The YAGS branch prediction scheme
A.N. Eden, Trevor Mudge · 2002 · 75 citations
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University of Michigan
Ann Arbor, United States
3 h-index
7 publications
640 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
6 publications
342 citations
The University of Texas at Austin
Austin, United States
2 h-index
5 publications
940 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
2 publications
24 citations
Yale University
New Haven, United States
1 h-index
3 publications
33 citations
University of Virginia
Charlottesville, United States
1 h-index
2 publications
130 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
1 h-index
2 publications
76 citations

Pennsylvania State University
State College, United States
1 h-index
2 publications
80 citations
1–8 of 11
1 publications · 10 citations
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Repository · 1 publications · 28 citations
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Repository · 1 publications · 17 citations
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TACO · 1 publications · 65 citations
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Repository · 1 publications · 69 citations
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