Euro-Par 2015: Parallel Processing Workshops

1. Front Matter

   Pages I-XLIII

   PDF

2. BigDataCloud - Big Data Management in Clouds

   1. Front Matter

      Pages 1-1

      PDF

   2. Distributed Range-Based Meta-Data Management for an In-Memory Storage

      • Florian Klein, Kevin Beineke, Michael Schöttner

      Pages 3-15

   3. Network-Based Data Processing Architecture for Reliable and High-Performance Distributed Storage System

      • Hiroki Ohtsuji, Osamu Tatebe

      Pages 16-26

   4. File-Less Approach to Large Scale Data Management

      • Bartosz Kryza, Jacek Kitowski

      Pages 27-38

3. Euro-EDUPAR - Parallel and Distributed Computing Education for Undergraduate Students

   1. Front Matter

      Pages 39-39

      PDF

   2. Parallel Computing vs. Distributed Computing: A Great Confusion? (Position Paper)

      • Michel Raynal

      Pages 41-53

   3. SAUCE: A Web-Based Automated Assessment Tool for Teaching Parallel Programming

      • Moritz Schlarb, Christian Hundt, Bertil Schmidt

      Pages 54-65

   4. Teaching Parallel Programming in Interdisciplinary Studies

      • Eduardo Cesar, Ana Cortés, Antonio Espinosa, Tomàs Margalef, Juan Carlos Moure, Anna Sikora et al.

      Pages 66-77

   5. On-line Service for Teaching Parallel Programming

      • Marek Nowicki, Maciej Marchwiany, Maciej Szpindler, Piotr Bała

      Pages 78-89

   6. Challenges of a Systematic Approach to Parallel Computing and Supercomputing Education

      • Vladimir Voevodin, Victor Gergel, Nina Popova

      Pages 90-101

   7. Teaching Heart Modeling and Simulation on Parallel Computing Systems

      • Andrey Sozykin, Mikhail Chernoskutov, Anton Koshelev, Vladimir Zverev, Konstantin Ushenin, Olga Solovyova

      Pages 102-113

   8. Integration of ICT in Concurrent and Parallel Programming Lectures

      • Antonio J. Tomeu-Hardasmal, Alberto G. Salguero, Manuel I. Capel

      Pages 114-124

   9. Teamwork Across Disciplines: High-Performance Computing Meets Engineering

      • Philipp Neumann, Christoph Kowitz, Felix Schranner, Dmitrii Azarnykh

      Pages 125-134

   10. An Educational Module Illustrating How Sparse Matrix-Vector Multiplication on Parallel Processors Connects to Graph Partitioning

       • M. Ali Rostami, H. Martin Bücker

       Pages 135-146

   11. FerbJmon Tools - Visualizing Thread Access on Java Objects using Lightweight Runtime Monitoring

       • Marvin Ferber

       Pages 147-159

   12. Interdisciplinary Practical Course on Parallel Finite Element Method Using HiFlow\(^{3}\)

       • Markus Hoffmann, Simon Gawlok, Eva Treiber, Wolfgang Karl, Vincent Heuveline

       Pages 160-171

4. HeteroPar - Algorithms, Models, and Tools for Parallel Computing on Heterogeneous Platforms

   1. Front Matter

      Pages 173-173

      PDF

   2. A Randomized LU-based Solver Using GPU and Intel Xeon Phi Accelerators

      • Marc Baboulin, Amal Khabou, Adrien Rémy

      Pages 175-184

   3. Identifying Optimization Opportunities Within Kernel Execution in GPU Codes

      • Robert Lim, Allen Malony, Boyana Norris, Nick Chaimov

      Pages 185-196

This book constitutes the thoroughly refereed post-conference proceedings of 12 workshops held at the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, in Vienna, Austria, in August 2015.

The 67 revised full papers presented were carefully reviewed and selected from 121 submissions. The volume includes papers from the following workshops: BigDataCloud: 4th Workshop on Big Data Management in Clouds - Euro-EDUPAR: First European Workshop on Parallel and Distributed Computing Education for Undergraduate Students - Hetero Par: 13th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms - LSDVE: Third Workshop on Large Scale Distributed Virtual Environments - OMHI: 4th International Workshop on On-chip Memory Hierarchies and Interconnects - PADAPS: Third Workshop on Parallel and Distributed Agent-Based Simulations - PELGA: Workshop on Performance Engineering for Large-Scale Graph Analytics - REPPAR: Second International Workshop on Reproducibility in Parallel Computing - Resilience: 8th Workshop on Resiliency in High Performance Computing in Clusters, Clouds, and Grids - ROME: Third Workshop on Runtime and Operating Systems for the Many Core Era - UCHPC: 8th Workshop on UnConventional High Performance Computing - and VHPC: 10th Workshop on Virtualization in High-Performance Cloud Computing.

• Data management
• Distributed systems
• High performance computing
• Parallel programming
• Virtualization
• Agent-based simulation and modeling
• Concurrent programming
• Fault tolerance
• GPU computing
• Interactive theoretical teaching
• Java
• Load balancing
• Many-core
• Parallel computing
• Performance tuning
• Quality analysis
• Runtime monitoring
• Supercomputing
• Topology
• Visualization

• Vienna University of Technology, Vienna, Austria

  Sascha Hunold

• IRISA / INSA, Rennes, France

  Alexandru Costan

• University of Murcia, Murcia, Spain

  Domingo Giménez

• Delft University of Technology, Delft, The Netherlands

  Alexandru Iosup

• Department of Computer Science, University of Pisa, Pisa, Italy

  Laura Ricci

• Universitat Politècnica de València, València, Spain

  María Engracia Gómez Requena

• Università di Salerno, Salerno, Italy

  Vittorio Scarano

• University of Amsterdam, Amsterdam, The Netherlands

  Ana Lucia Varbanescu

• Oak Ridge National Laboratory, Oak Ridge, USA

  Stephen L. Scott

• RWTH Aachen University, Aachen, Germany

  Stefan Lankes

• Technische Universität München, München, Germany

  Josef Weidendorfer

• Vienna University of Technology, Wien, Austria

  Michael Alexander

Policies and ethics