Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
A circuit level implementation of an adaptive issue queue for power-aware microprocessors
GLSVLSI '01 Proceedings of the 11th Great Lakes symposium on VLSI
Managing multi-configuration hardware via dynamic working set analysis
ISCA '02 Proceedings of the 29th annual international symposium on Computer architecture
Joint local and global hardware adaptations for energy
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Predictive dynamic thermal management for multimedia applications
ICS '03 Proceedings of the 17th annual international conference on Supercomputing
Dynamic Thermal Management for High-Performance Microprocessors
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Picking Statistically Valid and Early Simulation Points
Proceedings of the 12th International Conference on Parallel Architectures and Compilation Techniques
Hybrid Architectural Dynamic Thermal Management
Proceedings of the conference on Design, automation and test in Europe - Volume 1
Temperature-aware microarchitecture: Modeling and implementation
ACM Transactions on Architecture and Code Optimization (TACO)
A First-Order Superscalar Processor Model
Proceedings of the 31st annual international symposium on Computer architecture
Heat-and-run: leveraging SMT and CMP to manage power density through the operating system
ASPLOS XI Proceedings of the 11th international conference on Architectural support for programming languages and operating systems
Techniques for Multicore Thermal Management: Classification and New Exploration
Proceedings of the 33rd annual international symposium on Computer Architecture
Automated design of application specific superscalar processors: an analytical approach
Proceedings of the 34th annual international symposium on Computer architecture
Proactive temperature balancing for low cost thermal management in MPSoCs
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Dynamic thermal management via architectural adaptation
Proceedings of the 46th Annual Design Automation Conference
Distributed sensor data processing for many-cores
Proceedings of the great lakes symposium on VLSI
Temperature-aware idle time distribution for leakage energy optimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Architecturally homogeneous power-performance heterogeneous multicore systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
| Hi-index | 0.00 |
Multi-core processors have become an integral part of mainstream high performance computer systems. In parallel, exponentially increasing power density and packaging costs have necessitated system level thermal management solutions for multi-core systems. Dynamic thermal management (DTM) techniques monitor on-chip temperature continuously and typically employs dynamic voltage and frequency scaling (DVFS) to lower the temperature when it exceeds a pre-defined threshold. State-of-the-art DTM solutions for multi-core systems include distributed DVFS (where each core can scale the voltage/frequency individually) and global DVFS (where all cores scale voltage/frequency simultaneously). Distributed DVFS generally offers higher performance than global DVFS, but it is hard to implement and has major scalability issues. We propose a hybrid local-global thermal management approach for multi-core systems that offers better performance than distributed DVFS, while maintaining the simplicity of global DVFS. We employ global DVFS across all the cores but locally tune the performance of each core individually through architectural adaptations. We exploit easily reconfigurable micro-architecture parameters such as instruction window size, issue width, and fetch throttling in per-core thermal management. Our hybrid solution is easy to implement and highly effective towards temperature management. The key challenge is appropriate choice of configurations at runtime to provide optimal performance under thermal constraints. We formulate it as a configuration search problem and design an efficient software-based solution that selects the appropriate configuration. Our hybrid method, though simpler to implement, achieves 5% better throughput compared to distributed DVFS.