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Temperature-Aware Scheduling for Embedded Heterogeneous MPSoCs with Special Purpose IP Cores

Shervin Sharifi, Yen-Kuan Wu, Tajana Simunic Rosing
2011 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)  
of the tasks running on them.  ...  The power states of these cores are usually controlled by an internal hardware controller rather than the central operating system.  ...  On the other hand, the central operating system can control the power states of the general purpose cores to manage the temperature.  ... 
doi:10.1109/icccn.2011.6005920 dblp:conf/icccn/SharifiWR11 fatcat:752ktdgfozcl5hzykhysrlug4i

Low Power Operating System for Heterogeneous Wireless Communication System [chapter]

Suet-Fei Li, Roy Sutton, Jan Rabaey
2003 Compilers and Operating Systems for Low Power  
Operating systems in embedded wireless communication increasingly must satisfy a tight set of constraints, such as power and real time performance, on heterogeneous software and hardware architectures.  ...  The proposed novel hybrid approach to system power management combines distributed power control with global monitoring.  ...  Event-driven Global Scheduler and Power Management In a complex heterogeneous system, the OS acts like a hardware abstraction layer [8] that manages a variety of system resources.  ... 
doi:10.1007/978-1-4419-9292-5_1 fatcat:ryo6dcbv7nbhnm73euw4j7sxuu

An Optimizing Technique based on Genetic Algorithm for Power Management in Heterogeneous Multi-Tier Web Clusters

Pankaj Goyal, Nirmal Kaur
2015 International Journal of Computer Applications  
The most serious drawback nowadays is the power management because the web applications are becoming more sophisticated and their processing power is gradually increasing.  ...  To achieve these objectives, an Energy Optimizing Genetic Algorithm (EOGA) technique is applied on a three-tier web cluster system.  ...  On the other hand, a decision is to be made on which server should be powered on or off in case of heterogeneous clusters.  ... 
doi:10.5120/20243-2598 fatcat:ccjjhfidgbgardbzn44av2xzg4

Hybrid dynamic energy and thermal management in heterogeneous embedded multiprocessor SoCs

Shervin Sharifi, Ayse Kivilcim Coskun, Tajana Simunic Rosing
2010 2010 15th Asia and South Pacific Design Automation Conference (ASP-DAC)  
Heterogeneous multiprocessor system-on-chips (MPSoCs) which consist of cores with various power and performance characteristics can customize their configuration to achieve higher performance per Watt.  ...  On the other hand, inherent imbalance in power densities across MPSoCs leads to non-uniform temperature distributions, which affect performance and reliability adversely.  ...  During offline task characterization, we investigate the tasks which are expected to run on the system to quantify their execution characteristics on the various core types available on the heterogeneous  ... 
doi:10.1109/aspdac.2010.5419681 dblp:conf/aspdac/SharifiCR10 fatcat:i7x5mb7fcnh5toztpwcsn73jau

A Novel Approach in Scheduling Of the Real- Time Tasks In Heterogeneous Multicore Processor with Fuzzy Logic Technique For Micro-grid Power Management

Lavanya Dhanesh, P. Murugesan
2018 International Journal of Power Electronics and Drive Systems  
Scheduling of tasks based on real time requirement is a major issue in the heterogeneous multicore systemsfor micro-grid power management .  ...  The main objective of this scheduling algorithm is to increase the throughput and to improve CPU utilization there by reducing the overall power consumption of the micro-grid power management systems.  ...  The hardware prototype model for the Real -Time task scheduling in Heterogeneous Multicore Processor for Microgrid Power Management is shown in the Figure15.  ... 
doi:10.11591/ijpeds.v9.i1.pp80-88 fatcat:ucvno7g7k5h6zhbhbbkeqlxmii

AMMC: Advanced Multi-Core Memory Controller

Tassadaq Hussain, Oscar Palomar, Osman Unsal, Adrian Cristal, Eduard Ayguade, Mateo Valero, S. A. Gursal
2014 2014 International Conference on Field-Programmable Technology (FPT)  
In this work, we propose an efficient scheduler and intelligent memory manager known as AMMC (Advanced Multi-Core Memory Controller), which proficiently handles data movement and computational tasks.  ...  Results show that the AMMC based multi-core system consumes 48% less hardware resources, 27.9% less on-chip power and achieves 6.8x of speed-up compared to the MicroBlaze-based multi-core system.  ...  [6] has designed a hardware scheduler to assist the synergistic processor cores (SPCs) task scheduling on heterogeneous multi-core architecture.  ... 
doi:10.1109/fpt.2014.7082802 dblp:conf/fpt/HussainPUCAVG14 fatcat:jqigs76nfrcermrshne54gxi5i

An energy-aware scheduler for dynamically reconfigurable multi-core systems

Robin Bonamy, Sebastien Bilavarn, Fabrice Muller
2015 2015 10th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC)  
Scheduler decisions rely on pragmatic power and energy models to map the load across cores and reconfigurable regions with regards to the actual power costs.  ...  This paper describes an energy-aware scheduling approach intended for use in heterogeneous multiprocessors supporting hardware acceleration with Dynamic and Partial Reconfiguration.  ...  ACKNOWLEDGMENTS This work is carried out under the BENEFIC project (CA505), a project labelled within the framework of CATRENE, the EUREKA cluster for Application and Technology Research in Europe on NanoElectronics  ... 
doi:10.1109/recosoc.2015.7238084 dblp:conf/recosoc/BonamyBM15 fatcat:s5qsva6dizhqfnrenrk7u2ur3u

Evaluation of Selected Resource Allocation and Scheduling Methods in Heterogeneous Many-Core Processors and Graphics Processing Units

Milosz Ciznicki, Krzysztof Kurowski, Jan Węglarz
2014 Foundations of Computing and Decision Sciences  
Therefore, as tasks can be scheduled and managed in many alternative ways on both many-core CPUs or GPUs and consequently have a huge impact on the overall computing resources performance, there are needs  ...  In this paper we discuss results achieved during experimental performance studies of selected task scheduling methods in heterogeneous computing systems.  ...  Related work Different runtime systems exist today to support management of tasks onto heterogeneous many-core systems consisting of CPUs and GPUs.  ... 
doi:10.2478/fcds-2014-0013 fatcat:wikj66mbx5gkrdpspoqnfogyrm

Dynamic Voltage-Frequency and Workload Joint Scaling Power Management for Energy Harvesting Multi-Core WSN Node SoC

Xiangyu Li, Nijie Xie, Xinyue Tian
2017 Sensors  
This paper proposes a scheduling and power management solution for energy harvesting heterogeneous multi-core WSN node SoC such that the system continues to operate perennially and uses the harvested energy  ...  The solution consists of a heterogeneous multi-core system oriented task scheduling algorithm and a low-complexity dynamic workload scaling and configuration optimization algorithm suitable for light-weight  ...  power management on light-weight platforms with 4% on average system reward lost.  ... 
doi:10.3390/s17020310 pmid:28208730 pmcid:PMC5336092 fatcat:sjjprtmoxzbm7cq54vgyccz6xm

Energy-aware fast scheduling heuristics in heterogeneous computing systems

Cesar O. Diaz, Mateusz Guzek, Johnatan E. Pecero, Gregoire Danoy, Pascal Bouvry, Samee U. Khan
2011 2011 International Conference on High Performance Computing & Simulation  
In heterogeneous computing systems it is crucial to schedule tasks in a manner that exploits the heterogeneity of the resources and applications to optimize systems performance.  ...  In this paper, we present a series of original low complexity energy efficient algorithms for scheduling.  ...  In this context, the resource manager needed to exploit the heterogeneity of the tasks and resources while managing the energy.  ... 
doi:10.1109/hpcsim.2011.5999863 dblp:conf/ieeehpcs/DiazGPDBK11 fatcat:jnt26korlzcgforsiq564jqnum

Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters

Ziliang Zong, Xiao Qin, Xiaojun Ruan, Kiranmai Bellam, Mais Nijim, Mohamed Alghamdi
2007 Proceedings of the International Conference on Parallel Processing  
Designing energyefficient scheduling algorithms for parallel applications running on clusters, especially on the high performance heterogeneous clusters, is highly desirable.  ...  In this regard, we propose a novel scheduling strategy called energy efficient task duplication schedule (EETDS for short), which can significantly conserve power by judiciously shrinking communication  ...  Dynamic power management is designed to achieve requested performance with minimum number of active components or a minimum load on such components [9] [10] .  ... 
doi:10.1109/icpp.2007.39 dblp:conf/icpp/ZongQRBNA07 fatcat:d5hnt54glnfd3korfpjehij5vu

Keynote Speech Abstracts

2009 2009 Fourth International Conference on Frontier of Computer Science and Technology  
Dynamic power management at the operating system level refers to supply voltage and clock frequency adjustment schemes implemented while tasks are running.  ...  On the one hand, in high performance computing systems, power-aware design techniques and algorithms attempt to maximize performance under certain energy consumption constraints.  ...  Our scheduling problems contain nontrivial subproblems, namely, system partitioning, precedence constraining, task scheduling, and power supplying. xxxvii The above decomposition of our optimization problems  ... 
doi:10.1109/fcst.2009.7 fatcat:25kjipjipbayvbypdznbs7nzo4

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters [article]

Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
2021 arXiv   pre-print
Resource managers like Kubernetes execute such workflow tasks on cluster infrastructures.  ...  We propose Tarema, a system for allocating task instances to heterogeneous cluster resources during the execution of scalable scientific workflows.  ...  Paragon and Quasar are full resource management systems, addressing both resource allocation and assignment, using machine learning methods to schedule batch and continuous user-facing tasks in heterogeneous  ... 
arXiv:2111.05167v1 fatcat:vbphxs7ndfe7dcrdskcy7tiphq

Table of contents

2007 2007 IEEE International Conference on Cluster Computing  
Petiton, Mitsuhisa Sato) 558 A Comparison of Robustness Metrics for Scheduling DAGs on Heterogeneous Systems (Louis-Claude Canon, Emmanuel Jeannot) Building the Communication Performance Model of Heterogeneous  ...  Diraviam, Ritu Agrawal, Madhur Bansal, Krishna Janakiraman) 422 A Proposal of Metaheuristics to Schedule Independent Tasks in Heterogeneous Memory-Constrained Systems (Javier Cuenca, Domingo Giménez  ... 
doi:10.1109/clustr.2007.4629204 fatcat:x46l5mpk2bhknm22siovutaqju

Price theory based power management for heterogeneous multi-cores

Thannirmalai Somu Muthukaruppan, Anuj Pathania, Tulika Mitra
2014 Proceedings of the 19th international conference on Architectural support for programming languages and operating systems - ASPLOS '14  
However, the heterogeneity imposes significant challenges to power-aware scheduling.  ...  We design and implement the framework within Linux operating system on ARM big.LITTLE heterogeneous multi-core platform.  ...  There exists a plethora of prior works on power management on homogeneous multi-core systems.  ... 
doi:10.1145/2541940.2541974 dblp:conf/asplos/MuthukaruppanPM14 fatcat:lf43wh7kuvgnpgeymnwkh636ei
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