2018 Ninth International Green and Sustainable Computing Conference (IGSC)最新文献

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Multiobjective Evaluation and Optimization of CMT-bone on Intel Knights Landing 英特尔骑士登陆CMT-bone多目标评价与优化
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/IGCC.2018.8752152
M. Gadou, Tania Banerjee-Mishra, Meenakshi Arunachalam, G. Shipman, S. Ranka
{"title":"Multiobjective Evaluation and Optimization of CMT-bone on Intel Knights Landing","authors":"M. Gadou, Tania Banerjee-Mishra, Meenakshi Arunachalam, G. Shipman, S. Ranka","doi":"10.1109/IGCC.2018.8752152","DOIUrl":"https://doi.org/10.1109/IGCC.2018.8752152","url":null,"abstract":"CMT-bone is a proxy-app for simulating compressible multiphase turbulence. The application uses discretization and numerical methods for solving partial differential equations. Hence, the application is compute intensive as well as memory intensive. Intel Knights landing (KNL) is the second generation MIC architecture from Intel. It delivers massive thread parallelism, data parallelism, and memory bandwidth in a CPU form factor. In this paper, we use Intel KNL to get a performance speedup of 1.8x in CMT-bone after applying different optimization techniques for Intel KNL.","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128784472","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
Multi-Voltage Domain Power Distribution Network for Optimized Ultra-Low Voltage Clock Delivery 超低电压时钟优化的多电压域配电网
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/IGCC.2018.8752126
Md. Shazzad Hossain, I. Savidis
{"title":"Multi-Voltage Domain Power Distribution Network for Optimized Ultra-Low Voltage Clock Delivery","authors":"Md. Shazzad Hossain, I. Savidis","doi":"10.1109/IGCC.2018.8752126","DOIUrl":"https://doi.org/10.1109/IGCC.2018.8752126","url":null,"abstract":"In this paper, the co-design of the clock and power delivery networks is proposed for ultra-low power IoT applications operating in sub-threshold. A distributed, multi-voltage domain and hierarchical power distribution network is proposed to deliver current to the clock buffers, registers, and combinational circuits in local clock distribution networks. The variation of the clock skew, setup time, hold time, and clock-to-q delay are analyzed under process and supply voltage variation. The effect on timing due to supply and process variation is analyzed for a target operating voltage and frequency of, respectively, 250 mV and 2 MHz in a 130 nm CMOS technology. The minimum clock period, skew, and insertion delay are reduced to, respectively, 0.74×, 0.52×, and 0.79× when optimized sub-threshold buffers are implemented, as compared and normalized to a clock network that includes non-optimized buffers. In addition, the co-designed clock and power networks were resilient to as much as 10% variation in the supply voltage when the proposed multi-voltage domain and distributed power distribution network is used with the optimized clock buffers.","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125136738","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
All-day Workshop: Power/Energy Management at Extreme Scale Workshop 全天研讨会:在极端规模的电源/能源管理研讨会
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/igcc.2018.8752154
B. Rountree
{"title":"All-day Workshop: Power/Energy Management at Extreme Scale Workshop","authors":"B. Rountree","doi":"10.1109/igcc.2018.8752154","DOIUrl":"https://doi.org/10.1109/igcc.2018.8752154","url":null,"abstract":"This talk provides an overview of the Global Extensible Open Power Manager and presents the results of recent experiments with GEOPM at-scale on production systems. GEOPM is an open source runtime framework for optimization of application power efficiency and exploration of advanced power management strategies for future systems.","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128037308","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
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments 利用机器学习减少志愿者计算环境中的能源浪费
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/IGCC.2018.8752115
A. McGough, M. Forshaw, John Brennan, N. A. Moubayed, Stephen Bonner
{"title":"Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments","authors":"A. McGough, M. Forshaw, John Brennan, N. A. Moubayed, Stephen Bonner","doi":"10.1109/IGCC.2018.8752115","DOIUrl":"https://doi.org/10.1109/IGCC.2018.8752115","url":null,"abstract":"High Throughput Computing (HTC) provides a convenient mechanism for running thousands of tasks. Many HTC systems exploit computers which are provisioned for other purposes by utilising their idle time – volunteer computing. This has great advantages as it gives access to vast quantities of computational power for little or no cost. The downside is that running tasks are sacrificed if the computer is needed for its primary use. Normally terminating the task which must be restarted on a different computer – leading to wasted energy and an increase in task completion time. We demonstrate, through the use of simulation, how we can reduce this wasted energy by targeting tasks at computers less likely to be needed for primary use, predicting this idle time through machine learning. By combining two machine learning approaches, namely Random Forest and MultiLayer Perceptron, we save 51.4% of the energy without significantly affecting the time to complete tasks.","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122868967","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
Improving Sustainability Through Disturbance Crosstalk Mitigation in Deeply Scaled Phase-change Memory 通过抑制深度缩放相变存储器中的干扰串扰提高可持续性
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/IGCC.2018.8752107
Seyed Mohammad Seyedzadeh, A. Jones, R. Melhem
{"title":"Improving Sustainability Through Disturbance Crosstalk Mitigation in Deeply Scaled Phase-change Memory","authors":"Seyed Mohammad Seyedzadeh, A. Jones, R. Melhem","doi":"10.1109/IGCC.2018.8752107","DOIUrl":"https://doi.org/10.1109/IGCC.2018.8752107","url":null,"abstract":"Phase change memory (PCM) is a popular emerging technology for next generation systems. PCM provides advantages compared to conventional memories such as DRAM and Flash including reduced static energy, density advantages over DRAM, and performance and endurance advantages over Flash. Some limitations of PCM, including high dynamic energy and limited endurance can be improved through intelligent encoding. Unfortunately, the additional density benefits achieved through technology scaling increases the proximity between cells and for technologies below 22nm, which can lead to inadvertent writing, referred to as write disturbance, both within the active wordline (i.e., row) and across neighboring wordlines (rows). Write disturbance results in significant system inefficiency to check and rewrite disturbed cells. In this paper, we develop a multi-tiered compression technique that compresses by a small amount (e.g., 40- or 56-bits of a 512-bit block) for >94% of cachelines stored into memory (e.g., during eviction) without disturbing data locality vital for optimizing PCM writes. Using this recovered space, we design a one-to-one mapping that probabilistically detects the cells likely to disturb neighboring cells. Using encoding, correction pointers, and a hybrid approach, we can reduce the instances of write disturbance. Due to using reclaimed bits for encoding, the proposed technique requires only five (5) additional auxiliary bits per 512-bit cacheline, minimizing the embodied energy (fabrication) overhead to mitigate write disturbance. Our experimental tests shows that the proposed technique successfully reduces the number of disturbed cells, which can be directly translated to the number of extra write and read operations, required for disturbance error mitigation. Specifically, our technique improves performance, endurance and write energy by 47%, 42% and 36% versus the leading approach with minimal (circa 1%) increases to embodied energy.","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132567367","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
A systematic Way for Determining CO2 Obligation in Power Systems 确定电力系统二氧化碳负荷的系统方法
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/IGCC.2018.8752156
Mahdi Rouholamini, Carol J. Miller
{"title":"A systematic Way for Determining CO2 Obligation in Power Systems","authors":"Mahdi Rouholamini, Carol J. Miller","doi":"10.1109/IGCC.2018.8752156","DOIUrl":"https://doi.org/10.1109/IGCC.2018.8752156","url":null,"abstract":"Electrical power consumption has entailed an adversely environmental footprint as fossil fuels are still the major resources for power generation worldwide which is why policy makers nowadays are seeking a way to alleviate this crucial issue. Therefore, in this paper an innovative carbon emission tracing method is presented that facilitates allotting carbon obligation in power systems.","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134054473","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
IGSC 2018 PhD Workshop on Energy-Efficient and Secure Computing Systems IGSC 2018节能与安全计算系统博士研讨会
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/igcc.2018.8752160
{"title":"IGSC 2018 PhD Workshop on Energy-Efficient and Secure Computing Systems","authors":"","doi":"10.1109/igcc.2018.8752160","DOIUrl":"https://doi.org/10.1109/igcc.2018.8752160","url":null,"abstract":"","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125775693","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
IGSC 2018 Special Track on Sustainable Cyber-Physical Systems IGSC 2018可持续信息物理系统特别专题
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/igcc.2018.8752163
{"title":"IGSC 2018 Special Track on Sustainable Cyber-Physical Systems","authors":"","doi":"10.1109/igcc.2018.8752163","DOIUrl":"https://doi.org/10.1109/igcc.2018.8752163","url":null,"abstract":"","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124496164","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
Information, Quantum Mechanics, and the Universe 信息、量子力学和宇宙
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/IGCC.2018.8752111
J. Levy
{"title":"Information, Quantum Mechanics, and the Universe","authors":"J. Levy","doi":"10.1109/IGCC.2018.8752111","DOIUrl":"https://doi.org/10.1109/IGCC.2018.8752111","url":null,"abstract":"The Universe is the largest known quantum computer, calculating its own evolution in real time according to the laws of quantum mechanics. Here on earth, scientists and engineers have been trying to “tame” quantum mechanics for the purpose of computation. A sufficiently powerful quantum computer could defeat all known methods of secure communication over the internet. Quantum computation can also deliver radical speedup of important problems like database searching, optimization problems and materials design. In this talk, I will try to point out the deep connections between information, quantum mechanics and the Universe, and convey the excitement of researchers who are working to instigate a second quantum revolution.","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126691043","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
Achieving Secure, Reliable, and Sustainable Next Generation Computing Memories 实现安全、可靠和可持续的下一代计算存储器
2018 Ninth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2018-10-01 DOI: 10.1109/IGCC.2018.8752128
Donald Kline, A. Jones
{"title":"Achieving Secure, Reliable, and Sustainable Next Generation Computing Memories","authors":"Donald Kline, A. Jones","doi":"10.1109/IGCC.2018.8752128","DOIUrl":"https://doi.org/10.1109/IGCC.2018.8752128","url":null,"abstract":"The design of next generation memory systems for increasingly large datasets is primarily being pursued through two fronts: (1) The continued progression of process scaling for conventional memories such as DRAM and Flash and (2) the commercialization of emerging non-volatile memory technologies including Phase Change, Resistive, and Spin-Torque Transfer Magnetic memories. Both avenues have illuminated reliability concerns including crosstalk-based disturbance and limited endurance. Crosscutting to these issues are challenges in maintaining or improving performance and operational energy. However, an emerging critical challenge is understanding, quantifying, and optimizing the sustainability of these memories in the face of exponentially increasing embodied costs (including energy and carbon emissions) due to the fabrication approaches of increasingly smaller nodes and processes for new technologies.I have contributed several approaches to different layers of this effort. For example, I designed low-energy network-on-chip (NoC) buffers for many-core systems using domain-wall memories. To support fault tolerance in these memory technologies, I have designed several fault map approaches. Based on knowledge of the types of faults in particular memory technologies and in using these fault maps, I have designed low-overhead encoding schemes to avoid faults and developed methods to increase memory lifetime. I have also developed collaboratively designed approaches that integrate fault tolerance with security. Finally, I have demonstrated the energy and environmental impacts of different memory design choices including technologies and fault tolerance approaches with holistic energy tradeoff analyses. My work provides advances in architectures, fault tolerance, security, and sustainability of these next generation memory systems.","PeriodicalId":388554,"journal":{"name":"2018 Ninth International Green and Sustainable Computing Conference (IGSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125249725","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
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