9:00-10:00 : ExtremeGreen Opening and Keynote talk : Wu
Feng (Virginia Tech, USA) : "Is Energy-Efficient Exascale an Oxymoron?"
Abstract:
Akin to Moore's Law, the computation per kilowatt-hour has doubled approximately every 18 months. Given this trend, DARPA’s target of a 20-MW exaflop system appears unachievable in the foreseeable future as it will require about a 50-fold performance improvement with only a 2.5-fold increase in power consumption. To prophesy the likelihood of energy-efficient exascale, we analyze current trends in energy efficiency from the Green500 and project expectations for the exascale future.
10:00-10:30 : Break
10:30-12:00 : Energy efficiency in HPC and Cloudssession:
Kyle Tarplee, Anthony Maciejewski and Howard Jay Siegel : "Energy-Aware Profit Maximizing Scheduling Algorithm for Heterogeneous Computing Systems"
Keiichiro Fukazawa, Tomonori Tsuhata, Kyohei Yoshida, Aruta
Uehara, Masakazu Kuze, Masatsugu Ueda, Yuichi Inadomi, Koji Inoue
and Mutsumi Aoyagi : "Performance and Power Consumption Evaluation of MHD Simulation for Magnetosphere on Parallel Computer System with CPU Power Capping"
Marco Guazzone, Cosimo Anglano and Matteo Sereno : "A
Game-Theoretic Approach to Coalition Formation in Green Cloud
Federations"
12:00-13:30 : Lunch
13:30-14:30 : Keynote talk : Ivan Rodero (Rutgers University,
USA) : "Green Computing meets Big Data"
Abstract: As computational- and data-enabled scientific applications target extreme scales, energy/power-related challenges are becoming dominating concerns. As a result, it is critical to explore emerging architectures such as ongoing many-core processors and deep memory hierarchies as well as applications from an energy perspective, and investigate associated overheads and tradeoffs. For example, energy/power-efficiency has to be addressed in combination with the quality of the solution, performance, resiliency, and other objectives. At the same time, the deluge of big data does not come only from scientific instruments and simulations, but also from sensor networks and other sources such as web crawling and social networks. Being able to analyze this data and transform it into insights also presents energy/power-related challenges that need to be addressed from different perspectives.
In this talk, I will explore these issues and will describe selected ongoing research efforts at RDI2 directed towards the scalability and efficiency of the next generation computing systems, including: performance/power tradeoffs of in-situ data analytics and exascale co-design; energy/power-efficient big data management for systems with deep memory hierarchies; and other relevant data-centric approaches.
14:30-15:30 : Energy efficiency in sharing and transfer session :
Ismail Alan, Engin Arslan and Tevfik Kosar : "Energy-Aware Data Transfer Tuning"
Fatemeh Jalali, Chrispin Gray, Arun Vishwanath, Robert Ayre,
Tansu Alpcan, Kerry Hinton and Rodney S. Tucker : "Energy Consumption of Photo Sharing in Online Social Networks"
Workshop description :
Improving the energy efficiency of large-scale distributed systems (e.g. data centres and Clouds) is a key challenge for both academic and industrial organizations. Although the topic has gained lots of attention over the past years, some of the proposed solutions often seem conservative and not easily applicable to large-scale systems. Their impact at large-scale remains to be proved. Hence, this workshop aims to provide a venue for discussion of ideas that can demonstrate "more than small % solution" to energy efficiency and their applicability to "real world".
After the success of ExtremGreen2013 workshop, the ExtremeGreen2014 workshop will focus on scientific and industrial approaches and solutions that could have a large impact in terms of energy savings and energy efficiency. Clean-slate approaches and innovative solutions breaking conventional approaches are welcome. The workshop also welcomes submissions of work-in-progress papers on ideas that can have a large impact on improving the energy efficiency of large-scale distributed systems. The papers must provide preliminary results that demonstrate the originality and possible impact of the proposed solutions.
Submissions will be reviewed by an international group of experts in distributed systems and energy efficiency.
Topics of interests :
Green clouds
Energy efficiency of data centers
Green Grids
Green networks for large scale distributed systems
Energy efficiency of storage solutions
Energy-aware design and programming
Energy-efficient hardware and software architectures
Sustainable solutions in large scale distributed systems
Energy-efficient resource management tools
Energy-efficient scalable approaches
Experimental results of Green solutions
Important dates :
Papers due on : February 15th, 2014
Author Notification : March 8 th, 2014 (date extended)
Final Papers Due : March 14th, 2014
ExtremeGreen Workshop : 1 day between May 26 and 29, 2014
NESUS
IC1305 COST Action and 
XLCLOUD project
