2017 Eighth International Green and Sustainable Computing Conference (IGSC)最新文献_第4页

An energy-constrained makespan optimization framework in fine-to coarse-grain partitioned multicore systems 精细到粗粒度分区多核系统中能量约束的完工时间优化框架

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323582

Shervin Hajiamini, B. Shirazi, Chris Cain, Hongbo Dong

{"title":"An energy-constrained makespan optimization framework in fine-to coarse-grain partitioned multicore systems","authors":"Shervin Hajiamini, B. Shirazi, Chris Cain, Hongbo Dong","doi":"10.1109/IGCC.2017.8323582","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323582","url":null,"abstract":"In today's multicore systems, depending on an application's computational demand, cores are either operated individually at different Voltage/Frequency (V/F) levels or grouped into multiple Voltage-Frequency Islands (VFIs) to reduce system energy consumption. This paper formulates a task scheduling and VFI partitioning problem whose optimization goal is to minimize the task set (application) execution time (makespan) for a given energy budget. First, the combinatorial optimization problem is formulated with Integer Linear Programming (ILP) to obtain per-core, per-task dynamic V/F levels in a fine-grain VFI-based system with single-core islands. Next, static task scheduling on coarse-grain VFI-based systems, where an island can contain several cores operated at the same V/F level, is formulated with Mixed Integer Linear Programming (MILP), considering the energy budget and task set's precedence constraints. The experimental results show that under different energy budget constraints, fine-grain, dynamic task allocations provide on average 1.35x speedup over static coarse grain scheduling and partitioning methods.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"514 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123248565","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: 2

Evaluating energy and power profiling techniques for HPC workloads 评估HPC工作负载的能量和功率分析技术

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323587

Ryan E. Grant, J. Laros, M. Levenhagen, Stephen L. Olivier, K. Pedretti, L. Ward, A. Younge

引用次数: 6

Energy consumption in Java: An early experience Java中的能源消耗:早期经验

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323579

Mohit Kumar, Youhuizi Li, Weisong Shi

{"title":"Energy consumption in Java: An early experience","authors":"Mohit Kumar, Youhuizi Li, Weisong Shi","doi":"10.1109/IGCC.2017.8323579","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323579","url":null,"abstract":"There has been a 10,000-fold increase in performance of supercomputers since 1992 but only 300-fold improvement in performance per watt. Dynamic adaptation of hardware techniques such as fine-grain clock gating, power gating and dynamic voltage/frequency scaling, are used for many years to improve the computer's energy efficiency. However, recent demands of exascale computation, as well as the increasing carbon footprint, require new breakthrough to make ICT systems more energy efficient. Energy efficient software has not been well studied in the last decade. In this paper, we take an early step to investigate the energy efficiency of Java which is one of the most common languages used in ICT systems. We evaluate energy consumption of data types, operators, control statements, exception, and object in Java at a granular level. Intel Running Average Power Limit (RAPL) technology is applied to measure the relative power consumption of small code snippets. Several observations are found, and these results will help in standardizing the energy consumption traits of Java which can be leveraged by software developers to generate energy efficient code in future.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133261235","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: 7

Investigation of LSTM based prediction for dynamic energy management in chip multiprocessors 基于LSTM的芯片多处理器动态能量管理预测研究

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323597

M. Moghaddam, Wenkai Guan, Cristinel Ababei

引用次数: 8

Proactive thermal aware scheduling 主动热感知调度

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323604

Shehenaz Shaik, Sanjeev Baskiyar

{"title":"Proactive thermal aware scheduling","authors":"Shehenaz Shaik, Sanjeev Baskiyar","doi":"10.1109/IGCC.2017.8323604","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323604","url":null,"abstract":"High temperatures and fluctuating temperatures decrease component reliability and lifespan. This work proposes a proactive software-based thermal aware scheduler to lower core temperature and its temperature fluctuations. It proposes a Simple Time Derivative (STD) scheduler, which uses the time derivative of the core temperature as a predictor. Major heat dissipating processes can be identified by their usage of integer arithmetic, float operations and other CPU performance counters. The “hot” processes are put to sleep for a short duration, if the time derivative goes above an empirically defined threshold. This work evaluates STD using FFT, SOR, LU, and Sparse benchmarks of the SciMark benchmark suite running on a desktop computer. We found upto 5° C decrease in average/peak temperatures as compared to the baseline approach (without any thermal scheduling). The execution penalties only apply to the hot processes and not the whole system. For LU/Sparse the core stayed at 35° C or below for 100%/82% of time with STD vs. only 28%/19% of increase in run-time for the baseline. Furthermore, for the baseline the temperature went over 40° C for 16% of run-time vs. 0% for the STD. Holding the temperature lower has advantages in cooling energy reduction particularly when several systems are running together in a room or in a server system. We also compared our results against Simple Threshold approach. STD provided lower run-time penalties and energy consumption than the Simple Threshold strategy and marginally outperformed in terms of temperature reduction. This research provides insight into the temperature reductions possible using a user-defined software approach and the corresponding penalties on the hot processes. The approach can be combined with air conditioning management techniques in server production systems to reduce energy consumption for any job mix where execution time is not paramount. The reduction in temperature and its variations also increases reliability and lifespan of the CPU chip.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129353217","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

Evaluating the impact of data layout and placement on the energy efficiency of heterogeneous applications 评估数据布局和放置对异构应用程序能源效率的影响

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323574

Apan Qasem, Samuel Teich

{"title":"Evaluating the impact of data layout and placement on the energy efficiency of heterogeneous applications","authors":"Apan Qasem, Samuel Teich","doi":"10.1109/IGCC.2017.8323574","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323574","url":null,"abstract":"Heterogeneous compute nodes have become an integral component of today's HPC systems. Recent research has established the importance of data layout and placement on such systems. This paper explores the power and energy aspects of data layout and placement on heterogeneous systems. We present results of an experimental study that evaluates the impact of data layout and placement on candidate HPC node architectures for kernels that exhibit a wide variety of performance characteristics. The results of the study show that data layout and placement can have a significant impact on the energy efficiency of heterogeneous applications. On some platforms, selecting the appropriate layout can yield up to an order-of-magnitude improvement in energy efficiency. The study shows that the conventional approach of using a structure-of-arrays for device-mapped data structures is not always profitable and that in addition to memory divergence, data layout choices are impacted by a variety of factors including arithmetic intensity and task granularity. The results of the study are used to establish a set of energy imperatives to guide data layout and placement across different architectures.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132403193","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

POWSER: A novel user-experience based power management metric power:一种新颖的基于用户体验的电源管理度量

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323606

Maithili P. Gandhe, L. John, A. Gerstlauer

{"title":"POWSER: A novel user-experience based power management metric","authors":"Maithili P. Gandhe, L. John, A. Gerstlauer","doi":"10.1109/IGCC.2017.8323606","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323606","url":null,"abstract":"With the rapid increase in deployment of a variety of applications on mobile devices, and an increasing amount of activity and time spent on the devices, battery life continues to be a major source of concern. At the same time, hardware and software advances in mobile computing have enabled multiple usage functions to be integrated into one device, making energy consumption of the device more critical. Some approximations in computing can be made without noticeable degradation in quality to achieve savings in power. We explain the concept of user-experience based power management (UEPM) and propose a novel simple to use user-perceived-quality-energy metric called POWSER to build a UEPM-based system with a holistic objective. POWSER can also provide optimal operating points for the applications to perform fast dynamic online optimizations of applications such as video. Quality-energy tradeoffs have been carried out at various levels before. However, existing approaches do not take the final user-experience into account. POWSER is an easy to compute and easy to use weighted metric based on the nature of quality-energy tradeoffs. POWSER models QoS parameters in software that can be propagated down to hardware to implement further power savings across the system stack. Keeping acceptable user experience, POWSER provides an optimal set of operating points for each application by exploiting power savings of up to 34% in image applications.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124426722","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: 0

Context-driven power management in cache-enabled base stations using a Bayesian neural network 使用贝叶斯神经网络在启用缓存的基站中进行上下文驱动的电源管理

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323565

Luhao Wang, Shuang Chen, Massoud Pedram

引用次数: 8