COST Action

HPCCE: High-Performance Computing on Complex Environments

Heraklion, Crete, Greece
Date: 20 - 24 September, 2010

Schedule and Submissions

• Papers due: June 30, 2010
• Author notification: July 31, 2010
• Final papers due: August 20, 2010
• ComplexHPC workshop: September 20, 2010

Submitted manuscripts should be formatted according to IEEE Cluster 2010 proceedings guidelines.

• The maximum length is 8 pages.
• Single-spaced.
• 8.5x11-inch, two-column numbered pages in IEEE Xplore format.

Session 1: WG1: Numerical analysis for hierarchical, heterogeneous and multi-core systems

Chair: Anne Elster

Efficient and adaptable numerical algorithms are essential to achieving high performance computing on complex environments. As computing systems become more hierarchical and heterogeneous (e.g., a cluster of multiprocessor nodes using multi-core processors), they pose several interesting challenges to numerical algorithms. One of the central challenges is to create models that allow high flexibility for experimenting with techniques (e.g., addressing vectorization and asynchrony, dynamic/adaptive out of order execution, hiding memory latency, blocked storage, heterogeneity, etc,) and consequently, provides a framework for discovering optimal solutions.

The papers that are expected to be presented in this session will be addressing the challenges related to numerical algorithms for complex environments ranging from linear algebra libraries to self-adapting numerical solution of ordinary differential equations (ODEs) or partial differential equations (PDEs). Submissions that cover at least two levels of the system hierarchy, e.g. multiple cache levels/multi-core, distributed memory systems and grids, are highly encouraged.

Subjects: Numerically related algorithms and methods that address one or more of the following:

• Heterogeneity,
• Dynamic/ adaptive algorithms,
• Multi-level vectorization and asynchrony,
• Multi-level memory latency hiding,
• Multi-level blocked storage.

Programme Committee

• Petcu Dana, Computer Science Department of Western University of Timisoara,
• Ken Hawick, Computer Science, Massey University, Albany, New Zealand
• Jerzy Wasniewski, Informatics & Mathematical Modeling, Technical University of Denmark,
• Dorian Gorgan, Computer Science Department, Technical University of Cluj-Napoca, Romania,
• Gudula Ruenger, Chemnitz University of Technology, Germany,
• Enrique S. Quintana-Orti, Depto. de Ingenieria y Ciencia de Computadores, Universidad Jaume I, Spain,
• Svetozar Mergenov, IPP - BAS, Sofia, Bulgaria,
• Roman Wyrzykowski, Czestochowa University of Technology,
• Maya Neytcheva, Uppsala University, Department of Information Technology, Uppsala, Sweden,
• Anne C. Elster, Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.

Session 2: WG2: Multi-core, Clouds, low-level infrastructure, and green computing

Chair: Mark Baker

New hardware and software technologies are emerging all the time, and there is a never-ending issue of what choices should be used to support both legacy and evolving applications and their algorithms. An example of one of these issues is the use of multi-core processors. The producers of these processors seem to think that a shared-memory model is adequate, but in reality, the HPC market-place will want to use large systems of multi-core processors, where there will be a need for intra and inter communication between the processors and cores. This type of programming can be overcome using MPI/OpenMP/threads, but in reality a programming paradigm that encompasses this type of architecture is needed. Indeed, the way Intel, AMD, IBM Cell, and GPUs processors are designed means that optimisation of code on these systems will take a lot of time and effort. Another area that is changing rapidly is the move away from Grid computing, towards Clouds and Virtualisation, which are innovative, but potentially do not meet the needs of some HPC users. In addition, the need for Green IT computing that optimises application performance and potentially saves power is a very important aspect of computing in the future.

The papers submitted to this session should include:

• Cloud-based systems,
• Virtualisation and fault-tolerance,
• Programming GPU/Multi-core systems,
• Low-level libraries which can help inter-core messaging,
• Advanced frameworks that deal with MPI, OpenMP and threads.
• Green IT.

Programme Committee

• Mark Baker, SSE, University of Reading
• Pasqua D'Ambra, Italian National Research Council, Institute for High-Performance Computing and Networking (ICAR,
• Stephen Jarvis, Computer Science, Warwick University, UK,
• Marcin Paprzycki, Institute of the Polish Academy of Sciences, Warsaw, Poland,
• Harald Gjermundrod, Department of Computer Science, University of Nicosia,
• Krzysztof Kurowski, Poznan Supercomputing and Networking Center, Poland,
Ariel Oleksiak, Poznan Supercomputing and Networking Center, Poland,
• Roman Wyrzykowski, Czestochowa University of Technology,
• Ana Varbanescu, VU University, Amsterdam ,
• Pierre Kuonen, Telecommunications and Computer Science Department, University of Applied Sciences of Western Switzerland, Fribourg, Switzerland,
• Roman Trobec, Institut Jozef Stefan, Ljubljana, Slovenia.

Session 3: WG3: Algorithms and tools for mapping and executing applications onto distributed and heterogeneous systems.

Chair: Frederic Suter

Scheduling and resource management are key concepts to achieve High Performance Computing in complex environments. Issues related to these concepts occur at each layer of currently deployed complex infrastructures. Applications usually plan their execution and deployment. Resource brokering and match making are needed at a grid level. Batch schedulers are common at a cluster level. Finally, Operating System's schedulers are now in charge to deal with many cores and hardware accelerators.

The papers expected for this session should ideally present novel work on scheduling or resource management algorithms or services. We strongly encourage submissions that covers at least two levels. Papers on other classical scheduling topics will also be appreciated.

Subjects:

• Scheduling algorithms mixing resource brokering and queue management,
• Cooperation between grid/cluster/OS scheduling entities,
• Studies of adapted metrics to cover the requirements of each layer,
• Models that abstract some of the complexity of the environment while staying realistic,
• Scheduling algorithms for Grid systems,
• Energy-efficient scheduling policies for distributed systems and the grid,
• Resource discovery in Grids,
• Resource allocation strategies in Grid systems,
• Scheduling policies for real-time distributed systems.

Programme Committee

Emmanuel Jeannot, INRIA Research Scientist, Charge de Recherche INRIA,

Ozcan Ozturk, Bilkent University, Turkey

Rizos Sakellariou, Manchester University,

Alexandru Iosup, TU Delft, Netherlands ,

Alexey Lastovetsky, School of Computer Science and Informatics, University Colleage Dublin,

Helen Karatza, Aristotle University of Thessaloniki, Greece,

Olivier Beaumont, INRIA Bordeaux Sud-Ouest, France,

Pierre Kuonen, Telecommunications and Computer Science Department, University of Applied Sciences of Western Switzerland, Fribourg, Switzerland,

Leonel Sousa, INESC-ID/IST TULisbon, Portugal,

Thomas Rauber, University Bayreuth, Germany,

Suleyman Tosun, Ankara University, Turkey.

Session 4: WG4: Applications of hierarchical-heterogeneous systems

Chair: Antonio Plaza

In this session, organized in the framework of the Open European Network for High-Performance Computing on Complex Environments (http://complexHPC.org), the focus will be on applications requiring a large number of processing units to process and analyze scientific data sets. Specifically, papers will be solicited in the area of efficient execution of scientific applications onto complex high performance computing (HPC) infrastructures. Due to the nature of the target infrastructures commonly required in large-scale scientific applications (hierarchical and heterogeneous), addressing this challenge requires solving a lot of issues. In this session, we will pay specific attention to applications that can benefit from the use of a variety of HPC hardware, for example, due to the availability of parallelism at a wide range of grain sizes that can be exploited at different hardware layers (cluster, node, core, or other levels). This session is also intended to support the activities related with the creation of a "catalog of applications" (understood as a comprehensive description of different applications suitable for being addressed as implementation case studies) in the framework of the aforementioned network. Although members of the Applications Working Group of the ComplexHPC network will be invited to submit their work for consideration in the session, the session will remain open to the wide scientific community using HPC techniques and practices to address scientific applications. In this regard, contributions coming from external groups to the ComplexHPC network but which are relevant to the session are also welcome and will be considered in the special session. Only top rated contributions, selected after a peer-review process, will be presented in the session.

Subjects:

• Development of application-oriented techniques in different computing platforms (GPU, CELL/BE, FPGA, cluster, Grid, desktop grid, Cloud, or a combination of these).
• Efficient implementation of scientific applications onto hierarchical-heterogeneous parallel systems, with emphasis on applications that can benefit from the use of a variety of hardware solutions due to the availability of parallelism at a wide range of grain sizes that can be exploited at different hardware layers.
• Efficient use of heterogeneous computing resources in scientific applications.
• Integration of large-scale heterogeneous platforms and distributed systems in specific application domains.
• Validation of heterogeneous parallel algorithms in different application domains.

Programme Committee

• Antonio J. Plaza, Department of Technology of Computers and Communications, Caceres, Spain,
• Frank J. Seinstra, Computer Systems Group, Department of Computer Science, Vrije Universiteit,
• Petcu Dana, Department at Computer Science Department of Western University of Timisoara,
• Julius Zilinskas, Institute of Mathematics and Informatics, Lithuania
• Dorian Gorgan, Computer Science Department, Romania,
• Andrea Clematis, Institute for Applied Mathematics and Information Technologies, Genova, Italy
• Gudula Ruenger, Chemnitz University of Technology, Germany,
• Pierre Manneback, Faculty of Engineering, University of Mons, Belgium,
• Robert Lovas, Laboratory of Parallel and Distributed Systems, MTA SZTAKI, Hungary,
• Svetozar Mergenov, IPP - BAS, Sofia, Bulgaria,
• Cevdet Aykanat, Bilkent University, Ankara, Turkey,
• Alexey Kalinov, Cadence Design Systems, Russia,
• Daniel S. Katz, University of Chicago, USA,
• Anne C. Elster, Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.