Alias Reduction In Predictors

Alias Reduction in Predictors is a predictive modeling technique in computer architecture that minimizes aliasing conflicts in branch prediction tables by strategically organizing or indexing predictor entries to reduce erroneous correlations between unrelated branches.

Publications

757

Citations

Authors

Institutions

Publications per year

2017–2026

Parents

Branch Prediction

Publications

Trading conflict and capacity aliasing in conditional branch predictors

Pierre Michaud, André Seznec, Richard Uhlig · 1997 · 155 citations · Full text

Engineering, Computer Engineering, Computer Science +15

The YAGS branch prediction scheme

A.N. Eden, Trevor Mudge · 1998 · 152 citations

Computing, Computer Science, Computer Systems +13

The agree predictor

Eric Sprangle, Robert S. Chappell, Mitch Alsup et al. · 1997 · 143 citations · Full text

Engineering, Computer Engineering, Computer Science +16

Differential FCM: increasing value prediction accuracy by improving table usage efficiency

Bart Goeman, Hans Vandierendonck, Koen De Bosschere · 2002 · 119 citations

Engineering, Computer Engineering, Computer Science +12

The YAGS branch prediction scheme

A.N. Eden, Trevor Mudge · 2002 · 75 citations

Computing, Computer Science, Computer Systems +13

1–5 of 9

Authors

TM
Trevor Mudge
University of Michigan, United States
3 publications · 273 citations
3
h-index
AS
André Seznec
Institut de Recherche en Informatique et Systèmes Aléatoires, France
2 publications · 179 citations
2
h-index
RS
Robert S. Chappell
University of Michigan, United States
2 publications · 163 citations
2
h-index
ES
Eric Sprangle
Intel (United Kingdom), United Kingdom
2 publications · 163 citations
2
h-index
PM
Pierre Michaud
Institut national de recherche en sciences et technologies du numérique, France
2 publications · 179 citations
2
h-index

1–5 of 16

Institutions

1–6 of 6

Venues

ACM SIGARCH Computer Architecture News
2 publications · 44 citations
2
h-index

1–1