Dynamic compilation for energy adaptation

Authors:
P. Unnikrishnan;G. Chen;M. Kandemir;D. R. Mudgett
Affiliations:
The Pennsylvania State University, University Park, PA;The Pennsylvania State University, University Park, PA;The Pennsylvania State University, University Park, PA;The Pennsylvania State University, University Park, PA
Venue:
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Year:
2002

Citing 14
Cited 5

ATOM: a system for building customized program analysis tools

PLDI '94 Proceedings of the ACM SIGPLAN 1994 conference on Programming language design and implementation
SUIF: an infrastructure for research on parallelizing and optimizing compilers

ACM SIGPLAN Notices
Tile size selection using cache organization and data layout

PLDI '95 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation
EEL: machine-independent executable editing

PLDI '95 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation
VCODE: a retargetable, extensible, very fast dynamic code generation system

PLDI '96 Proceedings of the ACM SIGPLAN 1996 conference on Programming language design and implementation
Improving data locality with loop transformations

ACM Transactions on Programming Languages and Systems (TOPLAS)
DAISY: dynamic compilation for 100% architectural compatibility

Proceedings of the 24th annual international symposium on Computer architecture
An evaluation of staged run-time optimizations in DyC

Proceedings of the ACM SIGPLAN 1999 conference on Programming language design and implementation
Reducing power in superscalar processor caches using subbanking, multiple line buffers and bit-line segmentation

ISLPED '99 Proceedings of the 1999 international symposium on Low power electronics and design
High Performance Compilers for Parallel Computing

High Performance Compilers for Parallel Computing
The Paradyn Parallel Performance Measurement Tool

Computer
EAC: A Compiler Framework for High-Level Energy Estimation and Optimization

Proceedings of the conference on Design, automation and test in Europe
DRAM Energy Management Using Sof ware and Hardware Directed Power Mode Control

HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
An API for Runtime Code Patching

International Journal of High Performance Computing Applications

Develop once deploy anywhere achieving adaptivity with a runtime linker/loader framework

ARM '05 Proceedings of the 4th workshop on Reflective and adaptive middleware systems
Power reduction techniques for microprocessor systems

ACM Computing Surveys (CSUR)
Compiler-directed high-level energy estimation and optimization

ACM Transactions on Embedded Computing Systems (TECS)
Reducing dynamic compilation overhead by overlapping compilation and execution

ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
Using dynamic compilation for continuing execution under reduced memory availability

Proceedings of the Conference on Design, Automation and Test in Europe

Quantified Score

Hi-index	0.00

Visualization

Abstract

While previous compiler research indicates that significant improvements in energy efficiency may be possible if properly optimized code is used, the energy constraints under which a given application code should be optimized may not always be available at compile-time. More importantly, these constraints may change dynamically during the course of execution. In this work, we present a dynamic recompilation/linking framework using which the energy behavior of a given application can be optimized while the application is being executed. Our preliminary experiments indicate that large energy gains are possible through dynamic code recompilation/linking at the expense of a relatively small increase in execution time.