Pub Date : 2019-10-01DOI: 10.1109/igsc48788.2019.8957162
T. El-Ghazawi
For decades now, processing speed has been consistently rising. The top supercomputer, Summit, today, can perform 148,600 trillion calculations in one second (148.6 PF on LINPAC). Exascale supercomputers that can perform more than one million trillion (quintillion) calculations per second are planned for 2021. However, this smooth ride is almost over with the end of Moore’s Law and Dennard’s Scaling due to the increased power consumption and leakage. Scientists believe that we are reaching serious physical limits. Innovative ideas in device technology and architectures are a must for the next generation of computing. Photonic devices are characterized by their speed and ultra-low power. In this talk we examine the use of alternative Photonic computing architectures based on these devices, on the chip, to solve many critical science and engineering problems, including Partial Differential Equations (the basis for scientific and engineering simulations) and machine learning. We use this to examine the potential and progress needed to reap the full benefits of this technology and move it to becoming a main stream fast green computing alternative.
{"title":"Can Photonic Computing be the Answer to Green and Sustainable Computing?","authors":"T. El-Ghazawi","doi":"10.1109/igsc48788.2019.8957162","DOIUrl":"https://doi.org/10.1109/igsc48788.2019.8957162","url":null,"abstract":"For decades now, processing speed has been consistently rising. The top supercomputer, Summit, today, can perform 148,600 trillion calculations in one second (148.6 PF on LINPAC). Exascale supercomputers that can perform more than one million trillion (quintillion) calculations per second are planned for 2021. However, this smooth ride is almost over with the end of Moore’s Law and Dennard’s Scaling due to the increased power consumption and leakage. Scientists believe that we are reaching serious physical limits. Innovative ideas in device technology and architectures are a must for the next generation of computing. Photonic devices are characterized by their speed and ultra-low power. In this talk we examine the use of alternative Photonic computing architectures based on these devices, on the chip, to solve many critical science and engineering problems, including Partial Differential Equations (the basis for scientific and engineering simulations) and machine learning. We use this to examine the potential and progress needed to reap the full benefits of this technology and move it to becoming a main stream fast green computing alternative.","PeriodicalId":438561,"journal":{"name":"International Green and Sustainable Computing Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130400270","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}
Pub Date : 2019-10-01DOI: 10.1109/igsc48788.2019.8957191
Iris Bahar
Energy efficiency is now a critically important design constraint for most computing systems today. Likewise, reliability has always been a top concern, from high-performance systems to mobile embedded applications. However, as technological advances produce devices only a few nanometers in length, and applications become more memory- and compute-intensive, energy-efficiency and reliability become harder to manage. In this talk, I will present techniques—past and present—across the HW/SW stack, for energy-efficient and reliable computing. I will also discuss how these techniques may be used to achieve more sustainable computing in the future.
{"title":"Energy-efficient and Sustainable Computing across the Hardware/Software Stack","authors":"Iris Bahar","doi":"10.1109/igsc48788.2019.8957191","DOIUrl":"https://doi.org/10.1109/igsc48788.2019.8957191","url":null,"abstract":"Energy efficiency is now a critically important design constraint for most computing systems today. Likewise, reliability has always been a top concern, from high-performance systems to mobile embedded applications. However, as technological advances produce devices only a few nanometers in length, and applications become more memory- and compute-intensive, energy-efficiency and reliability become harder to manage. In this talk, I will present techniques—past and present—across the HW/SW stack, for energy-efficient and reliable computing. I will also discuss how these techniques may be used to achieve more sustainable computing in the future.","PeriodicalId":438561,"journal":{"name":"International Green and Sustainable Computing Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134421520","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}
Pub Date : 2019-10-01DOI: 10.1109/igsc48788.2019.8957213
J. Peterson
Data center cooling systems have varied widely over the years, yet the goal was always the same: keeping the facility running smoothly by preventing the internal equipment from overheating. As designs keep moving forward, we can see how cooling solutions and strategies have evolved and where they seem to be headed into the future. Air and water cooling, economization, energy recovery, and more have been explored and utilized all over the globe for extended periods of time. What has worked? What has worked best? Today’s data centers are ranked not just on reliability, but also on efficiency and cost effectiveness _ and the means of cooling the data center is one of the biggest energy and cost factors. This discussion will review the iterative design steps that have been taken in the past to see how cooling strategies have improved, and then forecast the next phases we may see in the near and perhaps not-so-near future.
{"title":"Data Center Cooling - Then, Now and the Future","authors":"J. Peterson","doi":"10.1109/igsc48788.2019.8957213","DOIUrl":"https://doi.org/10.1109/igsc48788.2019.8957213","url":null,"abstract":"Data center cooling systems have varied widely over the years, yet the goal was always the same: keeping the facility running smoothly by preventing the internal equipment from overheating. As designs keep moving forward, we can see how cooling solutions and strategies have evolved and where they seem to be headed into the future. Air and water cooling, economization, energy recovery, and more have been explored and utilized all over the globe for extended periods of time. What has worked? What has worked best? Today’s data centers are ranked not just on reliability, but also on efficiency and cost effectiveness _ and the means of cooling the data center is one of the biggest energy and cost factors. This discussion will review the iterative design steps that have been taken in the past to see how cooling strategies have improved, and then forecast the next phases we may see in the near and perhaps not-so-near future.","PeriodicalId":438561,"journal":{"name":"International Green and Sustainable Computing Conference","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116785329","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}
Pub Date : 2018-10-01DOI: 10.1109/IGCC.2018.8752120
B. Celik, Jie Li, T. Hansen
{"title":"Advances in data center energy optimization [panel discussion]","authors":"B. Celik, Jie Li, T. Hansen","doi":"10.1109/IGCC.2018.8752120","DOIUrl":"https://doi.org/10.1109/IGCC.2018.8752120","url":null,"abstract":"","PeriodicalId":438561,"journal":{"name":"International Green and Sustainable Computing Conference","volume":"9 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":"124606346","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}
Pub Date : 2017-10-01DOI: 10.1109/IGCC.2017.8323562
I. Koren
Current homogeneous and heterogeneous multi-cores consist of processors with static architectures and fixed sets of hardware resources. In contrast, the computational demands of many applications vary not only from one task to the other, but also temporally, during the execution of a single task. Such high level of diversity results in a mismatch between the requirements of the application and the hardware resources provided by the multi-core, causing an energy inefficient execution. We will discuss in this presentation adaptive multi-core architectures that are capable of adjusting their hardware resources in real time to match the current computational needs of the executing application.
{"title":"Keynote speech: IGSC 2017: Green computing through adaptive multi-core architectures","authors":"I. Koren","doi":"10.1109/IGCC.2017.8323562","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323562","url":null,"abstract":"Current homogeneous and heterogeneous multi-cores consist of processors with static architectures and fixed sets of hardware resources. In contrast, the computational demands of many applications vary not only from one task to the other, but also temporally, during the execution of a single task. Such high level of diversity results in a mismatch between the requirements of the application and the hardware resources provided by the multi-core, causing an energy inefficient execution. We will discuss in this presentation adaptive multi-core architectures that are capable of adjusting their hardware resources in real time to match the current computational needs of the executing application.","PeriodicalId":438561,"journal":{"name":"International Green and Sustainable Computing Conference","volume":"05 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":"129647782","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}
Pub Date : 1900-01-01DOI: 10.1109/IGCC.2016.7892584
Dongrui Fan, Hong Zhong, A. Hurson, Weisong Shi
This year, ECRTS received 114 full paper submissions with authors from 25 countries, 53 papers (46%) from non-European countries. From these submissions, the program committee selected 27 high quality papers for publication and presentation, corresponding to an acceptance rate of 24%. In a following process, two of these papers were named Outstanding Papers and marked as such in the table of contents.
{"title":"Message from the chairs","authors":"Dongrui Fan, Hong Zhong, A. Hurson, Weisong Shi","doi":"10.1109/IGCC.2016.7892584","DOIUrl":"https://doi.org/10.1109/IGCC.2016.7892584","url":null,"abstract":"This year, ECRTS received 114 full paper submissions with authors from 25 countries, 53 papers (46%) from non-European countries. From these submissions, the program committee selected 27 high quality papers for publication and presentation, corresponding to an acceptance rate of 24%. In a following process, two of these papers were named Outstanding Papers and marked as such in the table of contents.","PeriodicalId":438561,"journal":{"name":"International Green and Sustainable Computing Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133033395","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}
CPS, Cyber Physical Systems, one of key techniques in smart grid, makes the electric power system become more intelligent and easier to be controlled, and then the system can provide better quality electric power service for users, great efficiently utilize sustainable, green energy, and decrease carbon emission. Based on distributed agent technologies and traffic engineering, this paper proposes a novel multi-QoS data traffic scheduling algorithm with applying in sustainable cyber physical systems in smart grid. With the algorithm, multiple traffic from second equipments, distribute generation, and dispatching centre can effectively exchange electrical information. Theory analysis proves that the algorithm is convergence and validity. Using the simplified topology from “CERTS Micro-grid System” as simulation case, proposed algorithm's performance is evaluated in different traffic load levels. Bandwidth utilization ratios in light and high load levels are analyzed, it shows that the proposed algorithm makes resource used more balanceable, and congestion can be avoided effectively in high traffic load.
{"title":"Traffic scheduling with sustainable Cyber Physical Systems applying in smart grid","authors":"Songxi Liu, Qinghua Wang, Han Wu, Yuanliang Fan, Hui Peng, Gonglin Zhang, Haibo Pen","doi":"10.1109/IGCC.2016.7892587","DOIUrl":"https://doi.org/10.1109/IGCC.2016.7892587","url":null,"abstract":"CPS, Cyber Physical Systems, one of key techniques in smart grid, makes the electric power system become more intelligent and easier to be controlled, and then the system can provide better quality electric power service for users, great efficiently utilize sustainable, green energy, and decrease carbon emission. Based on distributed agent technologies and traffic engineering, this paper proposes a novel multi-QoS data traffic scheduling algorithm with applying in sustainable cyber physical systems in smart grid. With the algorithm, multiple traffic from second equipments, distribute generation, and dispatching centre can effectively exchange electrical information. Theory analysis proves that the algorithm is convergence and validity. Using the simplified topology from “CERTS Micro-grid System” as simulation case, proposed algorithm's performance is evaluated in different traffic load levels. Bandwidth utilization ratios in light and high load levels are analyzed, it shows that the proposed algorithm makes resource used more balanceable, and congestion can be avoided effectively in high traffic load.","PeriodicalId":438561,"journal":{"name":"International Green and Sustainable Computing Conference","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123478885","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}
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