Amanote Research
Register
Sign In
Enabling Improved Power Management in Multicore Processors Through Clustered DVFS
doi 10.1109/date.2011.5763052
Full Text
Open PDF
Abstract
Available in
full text
Date
March 1, 2011
Authors
T Kolpe
A Zhai
S S Sapatnekar
Publisher
IEEE
Related search
Supervised Learning Based Power Management for Multicore Processors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Electrical
Software
Computer Graphics
Computer-Aided Design
Electronic Engineering
A Methodology for Modeling Dynamic and Static Power Consumption for Multicore Processors
Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems
A Dedicated Monitoring Infrastructure for Multicore Processors
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Hardware
Electronic Engineering
Electrical
Architecture
Software
Task-Aware Priority Scheduling for Multicore Processors
A Review of Hardware Transactional Memory in Multicore Processors
Information Technology Journal
Coherency State Awareness in Way Replacement Algorithms for Multicore Processors
Energy Efficient Block-Partitioned Multicore Processors for Parallel Applications
Journal of Computer Science and Technology
Hardware
Computer Science Applications
Architecture
Mathematics
Computational Theory
Theoretical Computer Science
Software
Energy-Aware Stochastic Scheduling Model With Precedence Constraints on DVFS-enabled Processors
Turkish Journal of Electrical Engineering and Computer Sciences
Electronic Engineering
Electrical
Computer Science