International Conference on Green Computing最新文献_第4页

Power management in multicore systems-on-chip 片上多核系统的电源管理

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598271

R. Marculescu

引用次数: 1

Quantifying the environmental advantages of large-scale computing 量化大规模计算的环境优势

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598304

Vlasia Anagnostopoulou, Heba Saadeldeen, F. Chong

引用次数: 4

Energy efficiency in data centers and cloud-based multimedia services: An overview and future directions 数据中心和基于云的多媒体服务的能源效率:概述和未来方向

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598292

Hang Yuan, C.-C. Jay Kuo, I. Ahmad

引用次数: 69

A new approach for energy management in user-centric applications 以用户为中心的应用中能源管理的新方法

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598257

V. Moshnyaga

引用次数: 4

Towards integrated circuit thermal profiling for reduced power consumption: Evaluation of distributed sensing techniques 面向降低功耗的集成电路热分析:分布式传感技术的评估

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598276

Andres Kwasinski, D. Kudithipudi

{"title":"Towards integrated circuit thermal profiling for reduced power consumption: Evaluation of distributed sensing techniques","authors":"Andres Kwasinski, D. Kudithipudi","doi":"10.1109/GREENCOMP.2010.5598276","DOIUrl":"https://doi.org/10.1109/GREENCOMP.2010.5598276","url":null,"abstract":"Reducing the power consumption in integrated circuits will require the use of several techniques, many of which depends on accurate on-chip temperature measurement. Simultaneously, power consumption can be reduced by using smaller integration scales of System-on-Chip (SoC). This will require a comprehensive solution to the ensuing more frequent problems of reliability-related events. This paper introduces the use of an on-chip sensor network to monitor reliability-related parameter and to adapt local chip components to ensure continuing efficient operation with reduced power consumption. The sensor network design is constrained to present a negligible footprint in terms of the chip internal bandwidth use, power consumption and number and area of integrated components. In this context, this paper considers the problem of monitoring the time evolution of the complete chip thermal profile. Different distributed sensing and source compression schemes that leverage on the physical properties of heat propagation and networking of sensors are evaluated in terms of bandwidth and power consumption saving potential. Simulation results show the potential for these techniques to provide useful savings in on-chip communication bandwidth. Considering strict implementation complexity constraints, distributed source coding through binning is the evaluated technique that shows best performance.","PeriodicalId":262148,"journal":{"name":"International Conference on Green Computing","volume":"21 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114052246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Complexity scalable video encoding for power-aware applications 复杂可扩展的视频编码的功率感知应用程序

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598281

Burak Solak, F. Labeau

{"title":"Complexity scalable video encoding for power-aware applications","authors":"Burak Solak, F. Labeau","doi":"10.1109/GREENCOMP.2010.5598281","DOIUrl":"https://doi.org/10.1109/GREENCOMP.2010.5598281","url":null,"abstract":"Mobile multimedia application design has taken precedence in the field of wireless communications due to the growing demand for mobile devices to perform multimedia functions. To sustain such high complexity and power hungry functions on battery-powered devices, power-aware concepts should be employed in the design of mobile multimedia applications. An effective power-aware design should serve two functions. The first is to lower overall power consumption with minimum impact on performance and the second is to adjust its power consumption rate to extend the battery life of its platform. In this paper, we tackle one of the most up-and-coming multimedia functions, video compression, by introducing a novel complexity-scalable video encoding framework for power-aware applications. The proposed video encoder embodies both functions of power-aware design. The complexity-scalability is maintained efficiently through a single control-parameter; and significant complexity reduction rates are achieved through a novel prediction scheme. The performance of the proposed design is demonstrated and compared with some of the existing complexity reduction and complexity scalability techniques.","PeriodicalId":262148,"journal":{"name":"International Conference on Green Computing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123849612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Performance evaluation and receiver front-end design for on-chip millimeter-wave wireless interconnect 片上毫米波无线互连性能评估及接收机前端设计

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598263

Xinmin Yu, S. Sah, B. Belzer, D. Heo

引用次数: 22

Bridging the gap between complex software paradigms and power-efficient parallel architectures 弥合复杂软件范例和高效并行架构之间的鸿沟

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598285

K. Ibrahim

引用次数: 1

Characterizing the energy consumption of data transfers and arithmetic operations on x86−64 processors 描述了x86−64处理器上数据传输和算术运算的能耗

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598316

Daniel Molka, D. Hackenberg, R. Schöne, Matthias S. Müller

{"title":"Characterizing the energy consumption of data transfers and arithmetic operations on x86−64 processors","authors":"Daniel Molka, D. Hackenberg, R. Schöne, Matthias S. Müller","doi":"10.1109/GREENCOMP.2010.5598316","DOIUrl":"https://doi.org/10.1109/GREENCOMP.2010.5598316","url":null,"abstract":"The energy efficiency of computer systems is influenced by many interdependent aspects. To asses the efficiency, typical benchmarks characterized the total power consumption of a computer system under certain domain specific workloads. For example, in case of the SPECPower benchmark the workload is a typical web server specific Java application. The contribution of individual components is usually not considered in this class of benchmarks. The CPU makes the most significant contribution due to both its high peak power consumption and the high variability depending on the workload. Correlations of workload and energy consumption of parts of the processors are usually done with simulations rather than actual measurements. This is mainly a consequence of the limited time resolution of power meters that is usually orders of magnitude too low to observe variations in the time scale of microarchitectural events. Furthermore, it is usually not possible to solely measure power consumption of processors as they are supplied by multiple power lines that are not easily accessible and are often shared with other components. In this paper we present benchmarks and a measurement methodology that compensate for the time resolution of our power meter by applying a constant and well-defined workload to the system. Using this experimental setup we analyze x86−64 microarchitectures from AMD and Intel. We furthermore characterize the contribution of individual operations and data transfers to the total power consumption of the Intel system.","PeriodicalId":262148,"journal":{"name":"International Conference on Green Computing","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127752064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 66

Demystifying energy consumption in Grids and Clouds 揭秘网格和云中的能源消耗

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598295

Anne-Cécile Orgerie, L. Lefèvre, Jean-Patrick Gelas

引用次数: 79