MDHPCL 2013
Date: Sep 29, 2013 2:30 am – Sep 29, 2013 10:30 pm
Location: Miami, FL
2nd International Workshop on Model-Driven Engineering for High Performance and Cloud computing
MODELS 2013 satellite event
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Motivation:
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The important vitality of IT recently increased the focus on technologies such as cloud computing, high performance applications and parallel architectures. None of these technologies are traditional users of modeling approaches. Nonetheless, some results have started to emerge on the use of modeling techniques as a means to help address a variety of issues, such as the complexity of applications in these fields, the need for separation of concerns, and the demand for abstracting from platform concerns.
One of the major common points between High Performance Computing (HPC) and Cloud Computing is that the two technologies aim at a solution that allows the simplicity of regular desktop tools, while leveraging the power of massively parallel computing, and respectively, complex data architectures and their management. In both cases, the ultimate goal is to maximize human productivity by allowing non-experts to create and evaluate complex solutions quickly and easily.
There are several ways to achieve this: by raising the level of abstraction used in the design and development of the application, by decoupling application-specific solutions from optimization-driven choices, by ensuring a better separation of concerns, etc. These strategies are used largely and promoted by Model-Driven Engineering.
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Objectives:
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This half-day workshop targets researchers and practitioners who work in the area of HPC or Cloud Computing, and who perceive the use of modeling techniques to be beneficial to their respective fields, as well as to researchers and practitioners in the modeling area who have an interest in adapting their work to new application domains.
The workshop aims to present existing work on applying modeling techniques in cloud and high performance computing. Beyond offering a forum for current and ongoing work on these topics, the workshop aims to open a discussion on the challenges faced by these new fields, and how model-driven techniques could be adapted to meet these challenges.
The topics we target include, but are not restricted to:
- individual success stories on the use of modeling on the fields addressed by this workshop
- analysis of the factors that may have contributes to the positive outcome of applying modeling to cloud and HPC applications, the difficulties faced and how they were addressed
- distributed collaboration in HPC and cloud
- model-based testing of cloud and HPC applications
- modeling of the underlying platforms
- service-oriented modeling
- interoperability and portability challenges in multi-cloud environments
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Program committee:
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Jean-Michel Bruel, IRIT - Univ of Toulouse, France
Akshay Dabholkar, Oracle, USA
Dirk Draheim, University of Innsbruck, Austria
Steven Drager, Air Force Research Laboratory, USA
Robert France, Colorado State University, USA
Michael Felderer, University of Innsbruck, Austria
Aniruddha Gokhale, Vanderbilt University, USA
David Lugato, CEA, France
William McKeever, Air Force Research Labs, USA
Ileana Ober, IRIT - University of Toulouse, France
Bernhard Rumpe, RWTH Aachen University, Germany
Submitted by Anonymous
on
2nd International Workshop on Model-Driven Engineering for High Performance and Cloud computing
MODELS 2013 satellite event
------------------------------------------
Motivation:
------------------------------------------
The important vitality of IT recently increased the focus on technologies such as cloud computing, high performance applications and parallel architectures. None of these technologies are traditional users of modeling approaches. Nonetheless, some results have started to emerge on the use of modeling techniques as a means to help address a variety of issues, such as the complexity of applications in these fields, the need for separation of concerns, and the demand for abstracting from platform concerns.
One of the major common points between High Performance Computing (HPC) and Cloud Computing is that the two technologies aim at a solution that allows the simplicity of regular desktop tools, while leveraging the power of massively parallel computing, and respectively, complex data architectures and their management. In both cases, the ultimate goal is to maximize human productivity by allowing non-experts to create and evaluate complex solutions quickly and easily.
There are several ways to achieve this: by raising the level of abstraction used in the design and development of the application, by decoupling application-specific solutions from optimization-driven choices, by ensuring a better separation of concerns, etc. These strategies are used largely and promoted by Model-Driven Engineering.
------------------------------------------
Objectives:
------------------------------------------
This half-day workshop targets researchers and practitioners who work in the area of HPC or Cloud Computing, and who perceive the use of modeling techniques to be beneficial to their respective fields, as well as to researchers and practitioners in the modeling area who have an interest in adapting their work to new application domains.
The workshop aims to present existing work on applying modeling techniques in cloud and high performance computing. Beyond offering a forum for current and ongoing work on these topics, the workshop aims to open a discussion on the challenges faced by these new fields, and how model-driven techniques could be adapted to meet these challenges.
The topics we target include, but are not restricted to:
- individual success stories on the use of modeling on the fields addressed by this workshop
- analysis of the factors that may have contributes to the positive outcome of applying modeling to cloud and HPC applications, the difficulties faced and how they were addressed
- distributed collaboration in HPC and cloud
- model-based testing of cloud and HPC applications
- modeling of the underlying platforms
- service-oriented modeling
- interoperability and portability challenges in multi-cloud environments
------------------------------------------
Program committee:
------------------------------------------
Jean-Michel Bruel, IRIT - Univ of Toulouse, France
Akshay Dabholkar, Oracle, USA
Dirk Draheim, University of Innsbruck, Austria
Steven Drager, Air Force Research Laboratory, USA
Robert France, Colorado State University, USA
Michael Felderer, University of Innsbruck, Austria
Aniruddha Gokhale, Vanderbilt University, USA
David Lugato, CEA, France
William McKeever, Air Force Research Labs, USA
Ileana Ober, IRIT - University of Toulouse, France
Bernhard Rumpe, RWTH Aachen University, Germany