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Energy-Aware Task Partitioning on Heterogeneous Multiprocessor Platforms
"... Efficient task partitioning plays a crucial role in achieving high performance at multiprocessor platforms. This paper addresses the problem of energy-aware static partitioning of periodic realtime tasks on heterogeneous multiprocessor platforms. A Particle Swarm Optimization variant based on Min-mi ..."
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Efficient task partitioning plays a crucial role in achieving high performance at multiprocessor platforms. This paper addresses the problem of energy-aware static partitioning of periodic realtime tasks on heterogeneous multiprocessor platforms. A Particle Swarm Optimization variant based on Min
Energy-aware partitioning of tasks onto a heterogeneous multi-core platform
- in Real-Time and Embedded Technology and Applications Symposium (RTAS), 2013 IEEE 19th
"... Modern multicore processors for the embedded market are often heterogeneous in nature. One feature often available are multiple sleep states with varying transition cost for entering and leaving said sleep states. This research effort explores the energy efficient task-mapping on such a heterogeneou ..."
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heterogeneous multicore platform to reduce overall energy consumption of the system. This is performed in the context of a partitioned scheduling approach and a realistic power model, which improves over some of the simplifying assumptions often made in the state-of-the-art. The developed heuristic consists
Brawny vs. Wimpy: Evaluation and Analysis of Modern Workloads on Heterogeneous Processors
"... Abstract—Heterogeneous processors, consisting of a mix of high-performance ‘brawny ’ processors and low-power ‘wimpy’ processors, have been proposed to achieve higher energyefficiency by making it possible for different applications within a diverse mix of workloads to be run on the ‘most appropriat ..."
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. They also highlight the challenges associated with user-perceived performance on mobile devices and power overhead of shared system components on the energy-efficiency of heterogeneous cores and thus call for novel energy-aware resource management approaches. The experimental results presented in this paper
An Energy and Deadline Aware Resource Provisioning, Scheduling and Optimization Framework for Cloud Systems
"... Abstract — Cloud computing has attracted significant attention due to the increasing demand for low-cost, high performance, and energy-efficient computing. In this large-scale, heterogeneous, multi-user environment of a cloud system, profit maximization for the cloud service provider (CSP) is a key ..."
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Cited by 4 (1 self)
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Abstract — Cloud computing has attracted significant attention due to the increasing demand for low-cost, high performance, and energy-efficient computing. In this large-scale, heterogeneous, multi-user environment of a cloud system, profit maximization for the cloud service provider (CSP) is a key
Cycle-Accurate Power Analysis for Multiprocessor System-on-a-Chip
- In Proc of. 2004 ACM Great Lakes Symposium on VLSI
, 2004
"... Developing energy-aware software for multiprocessor systems-on-chip (MPSoCs) is a difficult task, which requires the knowl-edge of the distribution of the power consumption among sev-eral heterogeneous devices (cores, memories, busses, etc.). In this work we analyze the power breakdowns of power con ..."
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Cited by 23 (2 self)
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Developing energy-aware software for multiprocessor systems-on-chip (MPSoCs) is a difficult task, which requires the knowl-edge of the distribution of the power consumption among sev-eral heterogeneous devices (cores, memories, busses, etc.). In this work we analyze the power breakdowns of power
Dynamic Heterogeneity-Aware Resource Provisioning in the Cloud
"... Abstract Data centers consume tremendous amounts of energy in terms of power distribution and cooling. Dynamic capacity provisioning is a promising approach for reducing energy consumption by dynamically adjusting the number of active machines to match resource demands. However, despite extensive s ..."
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. Meanwhile, the production cloud workloads typically consist of diverse applications with different priorities, performance and resource requirements. Failure to consider the heterogeneity of both machines and workloads will lead to both sub-optimal energy-savings and long scheduling delays, due
A Probabilistic Model for Estimating the Power Consumption of Processors and Network Interface Cards
"... Abstract—Many of the proposed mechanisms aiming to achieve energy-aware adaptations in server environments rely on the existence of models that estimate the power consumption of the server as well as its individual components. Most existing or proposed models employ performance (hardware) monitoring ..."
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Abstract—Many of the proposed mechanisms aiming to achieve energy-aware adaptations in server environments rely on the existence of models that estimate the power consumption of the server as well as its individual components. Most existing or proposed models employ performance (hardware
Intel Labs
"... Heterogeneous multicore processors (HMPs), consisting of cores with different performance/power characteristics, have been proposed to deliver higher energy efficiency than symmetric multicores. This paper investigates the opportunities and limitations in using HMPs to gain energy-efficiency. Unlike ..."
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Heterogeneous multicore processors (HMPs), consisting of cores with different performance/power characteristics, have been proposed to deliver higher energy efficiency than symmetric multicores. This paper investigates the opportunities and limitations in using HMPs to gain energy
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