Leakage power dissipation is one of the major concerns in homogeneous multicore platforms. Therefore, individual cores on such platforms are often equipped with multiple sleep states to reduce the leakage power dissipation. With the current body of knowledge, an efficient selection of sleep states is a non-trivial problem for system designers. In this work, we propose leakage-aware energy management algorithms for homogeneous multicore platforms using a global-EDF scheduler. Global-EDF assumes that at any time instant the tasks (constituting the application) with the closest absolute deadlines are selected for execution on any core of the platform, sometimes allowing migration. Initially, individual cores are allowed to change their power s...
Numerous data center services exhibit low average utilization lead-ing to poor energy efficiency. Al...
International audienceHeterogeneous multicore platforms have become an attractive choice to deploy m...
In the following, we consider the problem of minimizing the energy consumption needed for executing ...
Heterogeneous multicore platforms are becoming an interesting alternative for embedded computing sys...
Energy consumption is one of the major issues for modern embedded systems. Early, power saving appro...
Heterogeneous multicore platforms are becoming an interesting alternative for embedded computing sys...
Modern multicore processors for the embedded market are often heterogeneous in nature. One feature ...
Processor resources can be adapted at runtime according to the dynamic behavior of applications to r...
Today mixed-criticality systems are used in most industrial domains, because of their integration ad...
The challenge in conserving energy in embedded real-time systems is to reduce power consumption whil...
This work presents a novel slack management technique, the Service Rate Based Slack Distribution Tec...
With progressing CMOS technology miniaturization, the leakage power consumption starts to dominate t...
With progressing CMOS technology miniaturization, the leakage power consumption starts to dominate t...
Historically, slack time in real-time systems has been used as temporal redundancy by rollback recov...
Abstract — In contemporary and future embedded as well as high-performance microprocessors, power co...
Numerous data center services exhibit low average utilization lead-ing to poor energy efficiency. Al...
International audienceHeterogeneous multicore platforms have become an attractive choice to deploy m...
In the following, we consider the problem of minimizing the energy consumption needed for executing ...
Heterogeneous multicore platforms are becoming an interesting alternative for embedded computing sys...
Energy consumption is one of the major issues for modern embedded systems. Early, power saving appro...
Heterogeneous multicore platforms are becoming an interesting alternative for embedded computing sys...
Modern multicore processors for the embedded market are often heterogeneous in nature. One feature ...
Processor resources can be adapted at runtime according to the dynamic behavior of applications to r...
Today mixed-criticality systems are used in most industrial domains, because of their integration ad...
The challenge in conserving energy in embedded real-time systems is to reduce power consumption whil...
This work presents a novel slack management technique, the Service Rate Based Slack Distribution Tec...
With progressing CMOS technology miniaturization, the leakage power consumption starts to dominate t...
With progressing CMOS technology miniaturization, the leakage power consumption starts to dominate t...
Historically, slack time in real-time systems has been used as temporal redundancy by rollback recov...
Abstract — In contemporary and future embedded as well as high-performance microprocessors, power co...
Numerous data center services exhibit low average utilization lead-ing to poor energy efficiency. Al...
International audienceHeterogeneous multicore platforms have become an attractive choice to deploy m...
In the following, we consider the problem of minimizing the energy consumption needed for executing ...