arrow
Return

DIA: A Complexity-Effective Decoding Architecture

delete2009-04-01
delete0
delete
OA
AI
O
Oliverio J. Santana *
A
Ayose Falcón
A
A. Ramirez
M
Mateo Valero
DOI:10.1109/TC.2008.170delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Fast instruction decoding is a true challenge for the design of CISC microprocessors implementing variable-length instructions. A well-known solution to overcome this problem is caching decoded instructions in a hardware buffer. Fetching already decoded instructions avoids the need for decoding them again, improving processor performance. However, introducing such special-purpose storage in the processor design involves an important increase in the fetch architecture complexity. In this paper, we propose a novel decoding architecture that reduces the fetch engine implementation cost. Instead of using a special-purpose hardware buffer, our proposal stores frequently decoded instructions in the memory hierarchy. The address where the decoded instructions are stored is kept in the branch prediction mechanism, enabling it to guide our decoding architecture. This makes it possible for the processor front end to fetch already decoded instructions from the memory instead of the original nondecoded instructions. Our results show that using our decoding architecture, a state-of-the-art superscalar processor achieves competitive performance improvements, while requiring less chip area and energy consumption in the fetch architecture than a hardware code caching mechanism.
Keywords:
Superscalar processor design
CISC instruction decoding
variable-length ISA
branch predictor
code caching
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Computers cover
IEEE Transactions on Computers
IF:
3.8
Papers:
5.3K
Citations:
9.8K

Organization

U
Universidad de Las Palmas de Gran Canaria
Scholars:
4.2K
Papers: 3.4K
Citations: 4
H
hewlett-packard
Scholars:
834
Papers: 643
Citations: 1
U
universitat politecnica de catalunya
Scholars:
1.9W
Papers: 1.6W
Citations: 17
researcher View more organizations