Euro-Par 2014: Parallel Processing

1. Front Matter

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2. Support Tools Environments

   1. MPI Trace Compression Using Event Flow Graphs

      • Xavier Aguilar, Karl Fürlinger, Erwin Laure

      Pages 1-12

   2. ScalaJack: Customized Scalable Tracing with In-situ Data Analysis

      • Srinath Krishna Ananthakrishnan, Frank Mueller

      Pages 13-25

   3. Performance Measurement and Analysis of Transactional Memory and Speculative Execution on IBM Blue Gene/Q

      • Jie Jiang, Peter Philippen, Michael Knobloch, Bernd Mohr

      Pages 26-37

   4. c-Eclipse: An Open-Source Management Framework for Cloud Applications

      • Chrystalla Sofokleous, Nicholas Loulloudes, Demetris Trihinas, George Pallis, Marios D. Dikaiakos

      Pages 38-49

   5. Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-core Architectures

      • Luka Stanisic, Samuel Thibault, Arnaud Legrand, Brice Videau, Jean-François Méhaut

      Pages 50-62

3. Performance Prediction and Evaluation

   1. Modeling the Impact of Reduced Memory Bandwidth on HPC Applications

      • Ananta Tiwari, Anthony Gamst, Michael A. Laurenzano, Martin Schulz, Laura Carrington

      Pages 63-74

   2. ParaShares: Finding the Important Basic Blocks in Multithreaded Programs

      • Melanie Kambadur, Kui Tang, Martha A. Kim

      Pages 75-86

   3. Multi-Objective Auto-Tuning with Insieme: Optimization and Trade-Off Analysis for Time, Energy and Resource Usage

      • Philipp Gschwandtner, Juan J. Durillo, Thomas Fahringer

      Pages 87-98

   4. Performance Prediction and Evaluation of Parallel Applications in KVM, Xen, and VMware

      • Cheol-Ho Hong, Beom-Joon Kim, Young-Pil Kim, Hyunchan Park, Chuck Yoo

      Pages 99-110

   5. DReAM: Per-Task DRAM Energy Metering in Multicore Systems

      • Qixiao Liu, Miquel Moreto, Jaume Abella, Francisco J. Cazorla, Mateo Valero

      Pages 111-123

   6. Characterizing the Performance-Energy Tradeoff of Small ARM Cores in HPC Computation

      • Michael A. Laurenzano, Ananta Tiwari, Adam Jundt, Joshua Peraza, William A. Ward Jr., Roy Campbell et al.

      Pages 124-137

4. Scheduling and Load Balancing

   1. On Interactions among Scheduling Policies: Finding Efficient Queue Setup Using High-Resolution Simulations

      • Dalibor Klusáček, Šimon Tóth

      Pages 138-149

   2. ProPS: A Progressively Pessimistic Scheduler for Software Transactional Memory

      • Hugo Rito, João Cachopo

      Pages 150-161

   3. A Queueing Theory Approach to Pareto Optimal Bags-of-Tasks Scheduling on Clouds

      • Cosmin Dumitru, Ana-Maria Oprescu, Miroslav Živković, Rob van der Mei, Paola Grosso, Cees de Laat

      Pages 162-173

   4. SPAGHETtI: Scheduling/Placement Approach for Task-Graphs on HETerogeneous archItecture

      • Denis Barthou, Emmanuel Jeannot

      Pages 174-185

   5. Energy-Aware Multi-Organization Scheduling Problem

      • Johanne Cohen, Daniel Cordeiro, Pedro Luis F. Raphael

      Pages 186-197

   6. Energy Efficient Scheduling of MapReduce Jobs

      • Evripidis Bampis, Vincent Chau, Dimitrios Letsios, Giorgio Lucarelli, Ioannis Milis, Georgios Zois

      Pages 198-209

5. High Performance Architectures and Compilers

   1. Automated Transformation of GPU-Specific OpenCL Kernels Targeting Performance Portability on Multi-Core/Many-Core CPUs

      • Dafei Huang, Mei Wen, Changqing Xun, Dong Chen, Xing Cai, Yuran Qiao et al.

      Pages 210-221

   2. Switchable Scheduling for Runtime Adaptation of Optimization

      • Lénaïc Bagnères, Cédric Bastoul

      Pages 222-233

This book constitutes the refereed proceedings of the 20th International Conference on Parallel and Distributed Computing, Euro-Par 2014, held in Porto, Portugal, in August 2014. The 68 revised full papers presented were carefully reviewed and selected from 267 submissions. The papers are organized in 15 topical sections: support tools environments; performance prediction and evaluation; scheduling and load balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; green high performance computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks and communication; high performance and scientific applications; and GPU and accelerator computing.

• GPU
• HPC
• applied computing
• cloud computing
• data centers
• distributed computing
• distributed systems
• graphics processing unit
• grid computing
• high-performance computing
• information systems
• load balancing
• operating systems
• parallel algorithms
• parallel computing
• parallel programming
• performance evaluation
• scheduling
• algorithm analysis and problem complexity

• CRACS/INESC-TEC and FCUP, Universidade do Porto, Porto, Portugal

  Fernando Silva, Inês Dutra, Vítor Santos Costa

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