Work

An Alternative TAGE-like Conditional Branch Predictor

Year: 2018

Type: article

Abstract: TAGE is one of the most accurate conditional branch predictors known today. However, TAGE does not exploit its input information perfectly, as it is possible to obtain significant prediction accuracy improvements by complementing TAGE with a statistical corrector using the same input information. This article proposes an alternative TAGE-like predictor making statistical correction practically superfluous.

Source: ACM Transactions on Architecture and Code Optimization

DOI: 10.1145/3226098

Author: Pierre Michaud

Institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Institut de Recherche en Informatique et Systèmes Aléatoires, PACAP: Pushing Architecture and Compilation for Application Performance, Université de Rennes

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2806279293

FWCI: 0.809

Cites: 70

Cited by: 15

Related to: 10