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2nd International Workshop on Ultrascale Computing for Early Researchers (UCER 2017)
Helsinki, Finland, 21-23 August 2017
The aim of this workshop is to give the opportunity to early researchers (Ph.D. students or recent Ph.D. graduates) to show their work related to Ultrascale Computing. Although a future technology, currently, many systems are being designed with the goal of being used in ultrascale systems. Many different subtopics are related in the exploration of system software and applications for enabling a sustainable development of future high-scale computing platforms. The tasks involved range from the analysis of the current state-of-the-art on sustainability in large-scale systems to the proposition of new tools that aim to improve computations on these systems. The topics addressed are, among others, HPC, distributed systems, and big data communities in cross-cutting aspects like programmability, scalability, resilience, energy efficiency, and data management. To get the goal of ultrascale computation it is needed to explore new programming paradigms, runtimes, and middlewares to increase the productivity, scalability, and reliability of parallel and distributed programming. At the same time, the new magnitude of data and computations brings up as inevitability consequence the probability of failure, so any advance on resilient schedulers that handle errors reactive or proactive, monitoring and assessment of failures, and malleable applications that can adapt their resource usage at runtime are welcome. Other major challenges involved are the restructuring the Input/Output (I/O) stack, the advancing predictive and adaptive data management, and the concern about huge energy consumption as one of the major limitations. This topic also includes identifying applications, high-level algorithms, and services amenable to ultrascale systems and investigating the redesign and reprogramming efforts needed for applications to efficiently exploit ultrascale platforms while providing sustainability.
Topics of interest include, but are not limited to:
Parallel and distributed systems for ultrascale computing, including, frameworks, engines or programming models
GPU and Heterogeneous computing
Data management methods and techniques for ultrascale computing
Fault tolerance techniques
Energy efficiency: monitoring, evaluation, modelling
Load balancing and scheduling
Applications suitable for ultrascale computing
Important Dates
Paper submission deadline: 26 April, 2017
Author notification: 10 June, 2017
Camera-ready and Registration: 18 June, 2017
Conference datas: 21-23 August, 2017
Submission Instructions
Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 10 pages (extra pages will be charged), including tables, figures, references and appendixes, in Springer LNCS Format with Portable Document Format (.pdf). Please submit your paper at: https://easychair.org/conferen
Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. The workshop paper will be involved into the ICA3PP2017 proceedings published by Springer Lecture Notes in Computer Science (LNCS, EI indexed). Excellent Papers will be recommended to high-quality journal special issues (SCI/SCIE indexed).
Program Co-Chairs
Prof. Jesus Carretero, University Carlos III of Madrid, Spain (jesus.carretero@uc3m.es)
Prof. Pedro Alonso, UP Valencia, Spain (palonso@upv.es)
Dr. Juan Durillo, University of Innsbruck, Austria (juan@dps.uibk.ac.at)
Dr. Fabrizio Marozzo, University of Calabria, Italy (fmarozzo@dimes.unical.it)
More information can be found at https://research.comnet.aalto.
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2nd International Workshop on Ultrascale Computing for Early Researchers (UCER 2017)
Helsinki, Finland, 21-23 August 2017
The aim of this workshop is to give the opportunity to early researchers (Ph.D. students or recent Ph.D. graduates) to show their work related to Ultrascale Computing. Although a future technology, currently, many systems are being designed with the goal of being used in ultrascale systems. Many different subtopics are related in the exploration of system software and applications for enabling a sustainable development of future high-scale computing platforms. The tasks involved range from the analysis of the current state-of-the-art on sustainability in large-scale systems to the proposition of new tools that aim to improve computations on these systems. The topics addressed are, among others, HPC, distributed systems, and big data communities in cross-cutting aspects like programmability, scalability, resilience, energy efficiency, and data management. To get the goal of ultrascale computation it is needed to explore new programming paradigms, runtimes, and middlewares to increase the productivity, scalability, and reliability of parallel and distributed programming. At the same time, the new magnitude of data and computations brings up as inevitability consequence the probability of failure, so any advance on resilient schedulers that handle errors reactive or proactive, monitoring and assessment of failures, and malleable applications that can adapt their resource usage at runtime are welcome. Other major challenges involved are the restructuring the Input/Output (I/O) stack, the advancing predictive and adaptive data management, and the concern about huge energy consumption as one of the major limitations. This topic also includes identifying applications, high-level algorithms, and services amenable to ultrascale systems and investigating the redesign and reprogramming efforts needed for applications to efficiently exploit ultrascale platforms while providing sustainability.
Topics of interest include, but are not limited to:
Parallel and distributed systems for ultrascale computing, including, frameworks, engines or programming models
GPU and Heterogeneous computing
Data management methods and techniques for ultrascale computing
Fault tolerance techniques
Energy efficiency: monitoring, evaluation, modelling
Load balancing and scheduling
Applications suitable for ultrascale computing
Important Dates
Paper submission deadline: 26 April, 2017
Author notification: 10 June, 2017
Camera-ready and Registration: 18 June, 2017
Conference datas: 21-23 August, 2017
Submission Instructions
Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 10 pages (extra pages will be charged), including tables, figures, references and appendixes, in Springer LNCS Format with Portable Document Format (.pdf). Please submit your paper at: https://easychair.org/conferen
Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. The workshop paper will be involved into the ICA3PP2017 proceedings published by Springer Lecture Notes in Computer Science (LNCS, EI indexed). Excellent Papers will be recommended to high-quality journal special issues (SCI/SCIE indexed).
Program Co-Chairs
Prof. Jesus Carretero, University Carlos III of Madrid, Spain (jesus.carretero@uc3m.es)
Prof. Pedro Alonso, UP Valencia, Spain (palonso@upv.es)
Dr. Juan Durillo, University of Innsbruck, Austria (juan@dps.uibk.ac.at)
Dr. Fabrizio Marozzo, University of Calabria, Italy (fmarozzo@dimes.unical.it)
More information can be found at https://research.comnet.aalto.
******************************
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If you do not remember your password (which is needed to change these options), you can reset it using the "Unsubscribe or Edit Options" button at the bottom of the page.
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