Euro-Par 2012 Parallel Processing

1. Front Matter

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2. Invited Talk

   1. Selfish Distributed Optimization

      • Burkhard Monien, Christian Scheideler

      Pages 1-2

3. Topic 1: Support Tools and Environments

   1. Topic 1: Support Tools and Environments

      • Omer Rana, Marios Dikaiakos, Daniel S. Katz, Christine Morin

      Pages 3-3

   2. Tulipse: A Visualization Framework for User-Guided Parallelization

      • Yi Wen Wong, Tomasz Dubrownik, Wai Teng Tang, Wen Jun Tan, Rubing Duan, Rick Siow Mong Goh et al.

      Pages 4-15

   3. Enabling Cloud Interoperability with COMPSs

      • Fabrizio Marozzo, Francesc Lordan, Roger Rafanell, Daniele Lezzi, Domenico Talia, Rosa M. Badia

      Pages 16-27

   4. Pattern-Independent Detection of Manual Collectives in MPI Programs

      • Alexandru Calotoiu, Christian Siebert, Felix Wolf

      Pages 28-39

   5. A Type-Based Approach to Separating Protocol from Application Logic

      • Geoffrey C. Hulette, Matthew J. Sottile, Allen D. Malony

      Pages 40-51

4. Topic 2: Performance Prediction and Evaluation

   1. Topic 2: Performance Prediction and Evaluation

      • Allen D. Malony, Helen Karatza, William Knottenbelt, Sally McKee

      Pages 52-53

   2. Energy Consumption Modeling for Hybrid Computing

      • Ami Marowka

      Pages 54-64

   3. HPC File Systems in Wide Area Networks: Understanding the Performance of Lustre over WAN

      • Alvaro Aguilera, Michael Kluge, Thomas William, Wolfgang E. Nagel

      Pages 65-76

   4. Understanding I/O Performance Using I/O Skeletal Applications

      • Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar et al.

      Pages 77-88

   5. ASK: Adaptive Sampling Kit for Performance Characterization

      • Pablo de Oliveira Castro, Eric Petit, Jean Christophe Beyler, William Jalby

      Pages 89-101

   6. CRAW/P: A Workload Partition Method for the Efficient Parallel Simulation of Manycores

      • Shuai Jiao, Paolo Ienne, Xiaochun Ye, Da Wang, Dongrui Fan, Ninghui Sun

      Pages 102-114

5. Topic 3: Scheduling and Load Balancing

   1. Topic 3: Scheduling and Load Balancing

      • Denis Trystram, Ioannis Milis, Zhihui Du, Uwe Schwiegelshohn

      Pages 115-115

   2. Job Scheduling Using Successive Linear Programming Approximations of a Sparse Model

      • Stephane Chretien, Jean-Marc Nicod, Laurent Philippe, Veronika Rehn-Sonigo, Lamiel Toch

      Pages 116-127

   3. Speed Scaling on Parallel Processors with Migration

      • Eric Angel, Evripidis Bampis, Fadi Kacem, Dimitrios Letsios

      Pages 128-140

   4. Dynamic Distributed Scheduling Algorithm for State Space Search

      • Ankur Narang, Abhinav Srivastava, Ramnik Jain, R. K. Shyamasundar

      Pages 141-154

   5. Using Load Information in Work-Stealing on Distributed Systems with Non-uniform Communication Latencies

      • Vladimir Janjic, Kevin Hammond

      Pages 155-166

   6. Energy Efficient Frequency Scaling and Scheduling for Malleable Tasks

      • Peter Sanders, Jochen Speck

      Pages 167-178

   7. Scheduling MapReduce Jobs in HPC Clusters

      • Marcelo Veiga Neves, Tiago Ferreto, César De Rose

      Pages 179-190

This book constitutes the thoroughly refereed proceedings of the 18th International Conference, Euro-Par 2012, held in Rhodes Islands, Greece, in August 2012. The 75 revised full papers presented were carefully reviewed and selected from 228 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; peer to peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance network and communication; mobile and ubiquitous computing; high performance and scientific applications; GPU and accelerators computing.

• MPI programs
• distributed systems
• hybrid computing
• parallel processors
• reinforcement learning

• University of Patras, Computer Technology Institute and Press “Diophantus”,, Rio, Greece

  Christos Kaklamanis

• University of Patras, Rio, Greece

  Theodore Papatheodorou

• Computer Technology Institute and Press “Diophantus”, University of Patras, Rio, Greece

  Paul G. Spirakis

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