Influence of compiler optimizations on system power

High-level compiler optimizations ha ve been widely used to ac hiev e speedups on array-based codes. Su ch optimizations are becoming increasingly important in embedded signal processing and multimedia systems. The focus of these optimizations has traditionally been on improving performance. Ho w ev...

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Bibliographic Details
Published in:37th Design Automation Conference, 2000 pp. 304 - 307
Main Authors: Kandemir, M., Vijaykrishnan, N., Irwin, M. J., Ye, W.
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 01.01.2000
IEEE
Series:ACM Conferences
Subjects:
Applied computing > Physical sciences and engineering > Engineering
Computer systems organization > Dependable and fault-tolerant systems and networks
Design optimization
Embedded computing
Embedded system
Energy consumption
General and reference > Cross-computing tools and techniques > Performance
Hardware
Hardware > Electronic design automation > Methodologies for EDA
Hardware > Emerging technologies
Hardware > Integrated circuits > Logic circuits > Arithmetic and datapath circuits
Hardware > Integrated circuits > Logic circuits > Design modules and hierarchy
Hardware > Robustness
Hardware > Very large scale integration design
Mobile computing
Multidimensional systems
Multimedia systems
Networks > Network performance evaluation
Optimizing compilers
Permission
Software and its engineering > Software notations and tools > Compilers
ISBN:9781581131871, 1581131879
Online Access:Get full text
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Summary:High-level compiler optimizations ha ve been widely used to ac hiev e speedups on array-based codes. Su ch optimizations are becoming increasingly important in embedded signal processing and multimedia systems. The focus of these optimizations has traditionally been on improving performance. Ho w ev er, energy constraints are of critical importance in battery-operated embedded devices. In this paper, w e presen t an experimental evaluation of several state-of-the-art compiler optimizations on energy consumption, considering both the processor core (datapath) and memory system. This is in contrast to many of the previous works that ha ve considered them in isolation.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:9781581131871
1581131879
DOI:10.1145/337292.337425