Improving dynamic voltage scaling algorithms with PACE
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Predictive dynamic thermal management for multimedia applications
ICS '03 Proceedings of the 17th annual international conference on Supercomputing
Temperature-aware microarchitecture: Modeling and implementation
ACM Transactions on Architecture and Code Optimization (TACO)
HybDTM: a coordinated hardware-software approach for dynamic thermal management
Proceedings of the 43rd annual Design Automation Conference
An optimal analytical solution for processor speed control with thermal constraints
Proceedings of the 2006 international symposium on Low power electronics and design
Temperature-aware leakage minimization technique for real-time systems
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems
ISQED '07 Proceedings of the 8th International Symposium on Quality Electronic Design
On the Minimization fo the Instantaneous Temperature for Periodic Real-Time Tasks
RTAS '07 Proceedings of the 13th IEEE Real Time and Embedded Technology and Applications Symposium
Temperature aware task scheduling in MPSoCs
Proceedings of the conference on Design, automation and test in Europe
ALT-DVS: Dynamic Voltage Scaling with Awareness of Leakage and Temperature for Real-Time Systems
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
Dynamic voltage scaling of supply and body bias exploiting software runtime distribution
Proceedings of the conference on Design, automation and test in Europe
Temperature-aware voltage selection for energy optimization
Proceedings of the conference on Design, automation and test in Europe
GOP-level dynamic thermal management in MPEG-2 decoding
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
System-level thermal aware design of applications with uncertain execution time
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Static and dynamic temperature-aware scheduling for multiprocessor SoCs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Dynamic Thermal Management through Task Scheduling
ISPASS '08 Proceedings of the ISPASS 2008 - IEEE International Symposium on Performance Analysis of Systems and software
Predictive Temperature-Aware DVFS
IEEE Transactions on Computers
Program phase and runtime distribution-aware online DVFS for combined Vdd/Vbb scaling
Proceedings of the Conference on Design, Automation and Test in Europe
Speed scaling to manage temperature
STACS'05 Proceedings of the 22nd annual conference on Theoretical Aspects of Computer Science
Temperature and supply Voltage aware performance and power modeling at microarchitecture level
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
System-Level Dynamic Thermal Management for High-Performance Microprocessors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Design and management of 3D-stacked NUCA cache for chip multiprocessors
Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
| Hi-index | 0.03 |
At high-operating temperature, chip cooling is crucial due to the exponential temperature dependence of leakage current. However, traditional cooling methods, e.g., power/clock gating applied when a temperature threshold is reached, often cause excessive performance degradation. In this paper, we propose a method for delivering lower energy consumption by integrating the cooling and running in a temperature-aware manner without incurring performance penalty. In order to further reduce the energy consumption, we exploited the runtime distribution of each sub-segment of a task called "bin" in an analytical manner such that time budget for cooling in each bin is allocated in proportion to the probability of the occurrence of the bin. We apply the proposed method to two realistic software programs, H.264 decoder and ray tracing and a benchmark program, equake. The experimental results show that the proposed method yields additional 19.4%-27.2% reduction in energy consumption compared with existing methods.