2017 Eighth International Green and Sustainable Computing Conference (IGSC)最新文献

Thermal-aware joint CPU and memory scheduling for hard real-time tasks on multicore 3D platforms 多核3D平台上硬实时任务的热感知CPU和内存联合调度

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323573

Gustavo A. Chaparro-Baquero, Shi Sha, Soamar Homsi, Wujie Wen, Gang Quan

{"title":"Thermal-aware joint CPU and memory scheduling for hard real-time tasks on multicore 3D platforms","authors":"Gustavo A. Chaparro-Baquero, Shi Sha, Soamar Homsi, Wujie Wen, Gang Quan","doi":"10.1109/IGCC.2017.8323573","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323573","url":null,"abstract":"Designing 3D systems with on-chip DRAM is a promising solution to improve memory bandwidth and reduce memory access latency. However, 3D chips exacerbate the chip thermal problem due to their longer heat dissipation path, as well as the tight thermal coupling between logic and memory layers. In this paper, we are interested in studying thermal aware resource management strategies for both CPUs and memory systems when realizing hard real-time systems on 3D platforms under given peak temperature constraints. Given the dramatically increased power density not only from CPUs but also from memory systems as well, we believe that a joint CPU and memory system resource management is highly desired for 3D platforms to effectively deal with the heat dissipation confined in a small package. In addition, different from many existing thermal management strategies, which are reactive and best-effort in nature, we are more interested in ones that can ensure the strong guarantee for real-time applications. To this end, we introduce a novel approach that incorporates the periodic resource model to guarantee timing constraints for hard real-time systems under thermal constraints. In the meantime, by periodically (deterministically) throttling the accesses of CPUs and memory resources, our approach can effectively guarantee the thermal constraints imposed on both CPUs and memory systems. We use simulation results to demonstrate the effectiveness of our proposed approach in guaranteeing both the timing and temperature constraints for hard real-time tasks on 3D platforms.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"17 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":"115573660","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: 3

Energy efficiency analysis of query optimizations on MongoDB and Cassandra MongoDB和Cassandra查询优化的能效分析

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323581

Divya Mahajan, Ziliang Zong

{"title":"Energy efficiency analysis of query optimizations on MongoDB and Cassandra","authors":"Divya Mahajan, Ziliang Zong","doi":"10.1109/IGCC.2017.8323581","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323581","url":null,"abstract":"As big data emerges, the complexity of database workloads and database systems has increased significantly. It is no longer possible for one type of database to efficiently handle all big data applications. NoSQL databases are widely used to complement conventional SQL databases. In addition to traditional metrics such as response time and throughput, large scale NoSQL database systems pose higher requirements on energy efficiency due to the incredible volume of data (and the associated cost) that need to be stored and processed. Unfortunately, research on optimizations for energy efficiency in database systems has been historically overlooked. In this paper, we investigate numerous optimizations for two NoSQL databases (MongoDB and Cassandra) and conduct a comprehensive study on the impact of these optimizations on performance and energy efficiency. Our experimental results derived from 100GB of Twitter data reveal that 1) energy efficiency can be improved significantly for both MongoDB and Cassandra via query optimizations without degrading performance; and 2) energy efficiency does not always scale linearly with performance improvement.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"30 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":"115813905","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: 8

Energy optimization for perpetual IoT networks of heterogeneous sensors 异构传感器永久物联网网络的能量优化

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323595

N. Alhassoun

引用次数: 1

Lessons learnt from software tuning of a Memcached-backed, multi-tier, web cloud application 从memcached支持的多层web云应用程序的软件调优中获得的经验教训

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323580

Muhammad Wajahat, Salman Masood, Abhinav Sau, Anshul Gandhi

{"title":"Lessons learnt from software tuning of a Memcached-backed, multi-tier, web cloud application","authors":"Muhammad Wajahat, Salman Masood, Abhinav Sau, Anshul Gandhi","doi":"10.1109/IGCC.2017.8323580","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323580","url":null,"abstract":"Cloud computing has largely replaced dedicated and physical computing systems by providing critical features such as elasticity and on-demand access to resources. However, despite its many benefits, the cloud does have its limitations, such as limited or no control over the hardware and limited customization options. Users who deploy applications on the cloud only have control over software tuning and optimizations since the infrastructure is managed by the provider. In this paper, we analyze cloud-deployed Web applications that are multi-tiered and employ Memcached as the object caching layer. Memcached is a high performance memory caching system and, if there are no other bottlenecks in the system, the overall application performance should be dictated by Memcached. However, we show that other components of the system such as web servers, load balancers, and some underlying system configurations, severely impact application performance. We analyze these components and provide guidelines on their implementation and parameter tuning to minimize resource waste in the cloud.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"48 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":"116498950","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: 3

Sustainable IC design and fabrication 可持续集成电路设计和制造

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323572

Donald Kline, Nikolas Parshook, A. Johnson, J. Stine, W. Stanchina, E. Brunvand, A. Jones

{"title":"Sustainable IC design and fabrication","authors":"Donald Kline, Nikolas Parshook, A. Johnson, J. Stine, W. Stanchina, E. Brunvand, A. Jones","doi":"10.1109/IGCC.2017.8323572","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323572","url":null,"abstract":"Low-energy computing in the use phase is compelling because it helps to address thermal density issues of deeply scaled CMOS, maximizes battery-life of mobile computing platforms, while also addressing sustainability. Unfortunately, environmental impacts of fabricating CMOS integrated circuits (ICs) is increasing and rapidly catching the operational phase of computing systems, particularly for low-energy and mobile computing products. This is due to trends in fabrication techniques for increasingly small geometries, such as increasing photo-lithography and metrology costs. Without attention, IC fabrication will likely become the dominant energy consumer and source of carbon emissions over an IC's lifetime. We propose a scaled parameterized model for evaluating the environmental impacts of IC fabrication, which can scale from 130nm to 32nm technology and account for stepwise changes in process technologies. As an example of the type of analysis possible using this model we demonstrate the environmental impacts of changing the metal stack at these technology nodes. Our results indicate that based on the die area calculated from a commercial design flow and our parameterized model, changing the number of metal layers from eight to six layers results in an average savings in manufacturing energy of 9.5%, 13.8%, and 13% for 130nm, 90nm, and 65nm technologies, respectively, and, depending on scenario, it can take years for operational energy savings to makeup this difference.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"5 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":"122161895","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: 10

PowerAnalyzer: An energy-aware power monitor system aiming at energy-saving PowerAnalyzer:一款以节能为目标的电能监测系统

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323568

Yifan Wang, Xingzhou Zhang, Lu Chao, Lang Wu, Xiaohui Peng

{"title":"PowerAnalyzer: An energy-aware power monitor system aiming at energy-saving","authors":"Yifan Wang, Xingzhou Zhang, Lu Chao, Lang Wu, Xiaohui Peng","doi":"10.1109/IGCC.2017.8323568","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323568","url":null,"abstract":"To save the electrical energy in a household, it is essential to monitor where and how the power is consumed. To maximize the efficiency of energy conservation, it is necessary to make the running power low in the power monitor system, which the tradition systems pay less attention to. This paper presents PowerAnalyzer, an energy-aware system for monitoring running states and power of each household appliance plugged into power line from a single point detection. PowerAnalyzer takes steady-state current waveforms as the appliances signature, and uses the deep neural network (DNN) models to infer the running states and running power of household appliances. We focus on the energy consumption of PowerAnalyzer itself. The energy efficiency of PowerAnalyzer is optimized from these aspects: Using dynamic time intervals to collect electric data, replacing a cloud server with an edge node to process data, and transmitting differential data over a low power wireless protocol. The evaluation results show that PowerAnalyzer offers 3.45% average power metering error and 98.38% average accuracy of inferring running states of appliances. PowerAnalyzer draws less than 247mW static power and 304mW peak power.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"23 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":"125730807","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: 3

Energy-efficiency in interconnection fabrics for inter and intra-chip communication using Graphene-based THz-band antennas 使用基于石墨烯的太赫兹波段天线的芯片间和芯片内通信互连结构的能源效率

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323603

Sagar Saxena, Deekshith Shenoy Manur, M. Ahmed, A. Ganguly

{"title":"Energy-efficiency in interconnection fabrics for inter and intra-chip communication using Graphene-based THz-band antennas","authors":"Sagar Saxena, Deekshith Shenoy Manur, M. Ahmed, A. Ganguly","doi":"10.1109/IGCC.2017.8323603","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323603","url":null,"abstract":"Most computing platforms such as embedded systems to server blades comprise of multiple Systems-on-Chips (SoCs). Traditionally, these multichip platforms are interconnected using metal traces over a substrate such as a Printed Circuit Board (PCB). Communications in multichip platforms involves data transfer between internal nets and the peripheral I/O ports of the chips as well as across the PCB traces. This multi-hop communication leads to higher energy consumption, decrease in data bandwidth and increase in message latency. Novel devices based on graphene structures capable of establishing wireless links are explored in recent literature to provide high performance on-chip interconnections. In this work, we propose to extend Graphene-based wireless links to enable energy-efficient, phase-based chip-to-chip communication to create a seamless, wireless interconnection fabric for multichip systems. With cycle-accurate simulations we show that such a design with torus like folding based on THz links instead of global wires can outperform state-of-the-art wireline multichip systems.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"44 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":"132339226","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

Mitigating register pressure in GPU kernels for improved energy efficiency 减轻寄存器压力在GPU内核，以提高能源效率

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323599

Apan Qasem, Samuel Teich

引用次数: 1

Increasing interposer utilization: A scalable, energy efficient and high bandwidth multicore-multichip integration solution 提高中间层利用率:可扩展、节能、高带宽的多核多芯片集成解决方案

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323583

M. Ahmed, Md Shahriar Shamim, N. Mansoor, Sayed Ashraf Mamun, A. Ganguly

{"title":"Increasing interposer utilization: A scalable, energy efficient and high bandwidth multicore-multichip integration solution","authors":"M. Ahmed, Md Shahriar Shamim, N. Mansoor, Sayed Ashraf Mamun, A. Ganguly","doi":"10.1109/IGCC.2017.8323583","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323583","url":null,"abstract":"With the increase in number of processing chips in platform based computation intensive systems such as servers, a seamless, scalable, energy efficient and high bandwidth interconnection network is required. Newly envisioned silicon interposers with Network-on-Chip (NoC) interconnection framework have emerged as an energy efficient technology for 2.5D integration of multiple processor and memory chips, where multiple chips are mounted on another die called the interposer and are interconnected using the metal layers of the interposer die. However, conventional interposer based multichip integration is limited to edge-to-edge connections between the adjacent dies leaving the interposer's routing resources underutilized. In this paper, we propose large scale utilization of the available abundant interposer resources for multichip integration by implementing a hypercube interconnection architecture in an interposer for chip-to-chip communication. Through system level simulations, we demonstrate that such multichip system integrated with interposer can provide high bandwidth and energy-efficient communication under various traffic patterns.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"3 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":"115349788","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: 9

eDelta: Pinpointing energy deviations in smartphone apps via comparative trace analysis eDelta:通过对比追踪分析来精确定位智能手机应用中的能量偏差

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323567

Li Li, Bruce Beitman, Mai Zheng, Xiaorui Wang, Feng Qin

{"title":"eDelta: Pinpointing energy deviations in smartphone apps via comparative trace analysis","authors":"Li Li, Bruce Beitman, Mai Zheng, Xiaorui Wang, Feng Qin","doi":"10.1109/IGCC.2017.8323567","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323567","url":null,"abstract":"Many smartphone apps can consume an unnecessarily high amount of energy, shortening battery life. Although users can easily notice the undesired fast battery drain, it is almost impossible for them to precisely remember how the abnormal battery drain (ABD) is triggered, making it difficult for developers to fix the problem. Therefore, app developers are in an urgent need for a tool that can provide them helpful information. In this paper, we propose eDelta, a framework that assists developers in pinpointing the APIs with high energy deviation, which usually have a high probability of being relevant to the non-deterministic ABD. Specifically, eDelta performs comparative trace analysis to identify APIs that have significant energy consumption deviation in different user traces. With the information provided by eDelta, developers can substantially reduce the time they spend searching for the ABD root causes. We have prototyped eDelta in Android 4.4 and evaluated it with twenty real-world apps. Our results show that eDelta can effectively pinpoint the APIs with high energy deviation and those APIs indeed cause ABD. Specifically, it reduces, on average, 94.6% of the amount of code that the developers would need to search for ABD root causes.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"15 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":"127781022","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