Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
A framework for dynamic energy efficiency and temperature management
Proceedings of the 33rd annual ACM/IEEE international symposium on Microarchitecture
Design Challenges of Technology Scaling
IEEE Micro
Predictive dynamic thermal management for multimedia applications
ICS '03 Proceedings of the 17th annual international conference on Supercomputing
Thermal Management System for High Performance PowerPCTM Microprocessors
COMPCON '97 Proceedings of the 42nd IEEE International Computer Conference
Virtual Machines: Versatile Platforms for Systems and Processes (The Morgan Kaufmann Series in Computer Architecture and Design)
Performance-aware thermal management via task scheduling
ACM Transactions on Architecture and Code Optimization (TACO)
Hardware/software co-design architecture for thermal management of chip multiprocessors
Proceedings of the Conference on Design, Automation and Test in Europe
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
QoS optimization for thermal-aware cyber-physical systems
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
Microvisor: a runtime architecture for thermal management in chip multiprocessors
Transactions on High-Performance Embedded Architectures and Compilers IV
Recent thermal management techniques for microprocessors
ACM Computing Surveys (CSUR)
A survey and taxonomy of on-chip monitoring of multicore systems-on-chip
ACM Transactions on Design Automation of Electronic Systems (TODAES)
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The sustained push for performance, transistor count and instruction level parallelism has reached a point where IC thermal issues are at the forefront of design constraints. Many of the current systems deploy dynamic voltage and frequency scaling (DVFS) to address thermal emergencies. DVFS has certain limitations in terms of response lag, scalability and being reactive. On the other hand, several hardware based control theoretic schemes have been proposed to deliver optimal performance, but such schemes come at high cost and lack flexibility and scalability. In this paper, we present an alternative thermal monitoring and management system that utilizes software and hardware components, based on virtual machine concept. The proposed scheme delivers targeted, localized, and preemptive thermal management at low cost, adapts well to a multitasking environment, while delivering maximum performance under thermal stress.