Reducing power in high-performance microprocessors
DAC '98 Proceedings of the 35th annual Design Automation Conference
Proceedings of the 6th international workshop on Hardware/software codesign
Control-theoretic dynamic frequency and voltage scaling for multimedia workloads
CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
Task Graph Extraction for Embedded System Synthesis
VLSID '03 Proceedings of the 16th International Conference on VLSI Design
Dynamic Thermal Management for High-Performance Microprocessors
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Temperature-aware microarchitecture: Modeling and implementation
ACM Transactions on Architecture and Code Optimization (TACO)
Compact thermal modeling for temperature-aware design
Proceedings of the 41st annual Design Automation Conference
Using Performance Counters for Runtime Temperature Sensing in High-Performance Processors
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Digital Signal Processing (4th Edition)
Digital Signal Processing (4th Edition)
Temperature aware task scheduling in MPSoCs
Proceedings of the conference on Design, automation and test in Europe
Temperature-aware MPSoC scheduling for reducing hot spots and gradients
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Proactive temperature management in MPSoCs
Proceedings of the 13th international symposium on Low power electronics and design
Temperature control of high-performance multi-core platforms using convex optimization
Proceedings of the conference on Design, automation and test in Europe
Temperature-aware scheduling and assignment for hard real-time applications on MPSoCs
Proceedings of the conference on Design, automation and test in Europe
Temperature-Aware Distributed Run-Time Optimization on MP-SoC Using Game Theory
ISVLSI '08 Proceedings of the 2008 IEEE Computer Society Annual Symposium on VLSI
RECONFIG '08 Proceedings of the 2008 International Conference on Reconfigurable Computing and FPGAs
Predict and act: dynamic thermal management for multi-core processors
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Verification and codesign of the package and die power delivery system using wavelets
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Consistent runtime thermal prediction and control through workload phase detection
Proceedings of the 47th Design Automation Conference
A hardware/software co-design architecture for thermal, power, and reliability management in chip multiprocessors
An ILP formulation for task scheduling on heterogeneous chip multiprocessors
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Modeling and analysis of nonuniform substrate temperature effects on global ULSI interconnects
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Parallel and Distributed Systems
| Hi-index | 0.00 |
High level of integration has led to the advent of Multiprocessor System-on-Chip (MPSoC) which consists of multiple processor cores and accelerators on the same die. A MPSoC programming model is based on a task graph where tasks are assigned to cores to maximize performance. To address thermal hotspots in MPSoCs, coarse-grain power management techniques based on Dynamic Frequency Scaling (DFS) are widely used. DFS is reactive in nature and has detrimental effects on performance. We propose an alternative solution based on dynamic task rescheduling where a temperature prediction scheme is built into the scheduler. The temperature look-ahead scheme is used for task reassignment or delay insertion in scheduling. Since temperature prediction and task assignment are done at runtime, both must be simple and extremely fast. To that end, we propose a heuristic solution based on a limited branch-and-bound search and compare results against an optimal Integer Linear Programming (ILP)-based solution. The proposed approach is shown to be superior to frequency scaling, and the resulting schedule length is within 5% to 10% of the optimal solution as obtained from ILP formulation.