Euro-Par 2011 Parallel Processing

1. Topic 3: Scheduling and Load Balancing

   1. Work Stealing for Multi-core HPC Clusters

      • Kaushik Ravichandran, Sangho Lee, Santosh Pande

      Pages 205-217

   2. A Dynamic Power-Aware Partitioner with Task Migration for Multicore Embedded Systems

      • José Luis March, Julio Sahuquillo, Salvador Petit, Houcine Hassan, José Duato

      Pages 218-229

   3. Exploiting Thread-Data Affinity in OpenMP with Data Access Patterns

      • Andrea Di Biagio, Ettore Speziale, Giovanni Agosta

      Pages 230-241

   4. Workload Balancing and Throughput Optimization for Heterogeneous Systems Subject to Failures

      • Anne Benoit, Alexandru Dobrila, Jean-Marc Nicod, Laurent Philippe

      Pages 242-254

   5. On the Utility of DVFS for Power-Aware Job Placement in Clusters

      • Jean-Marc Pierson, Henri Casanova

      Pages 255-266

2. Topic 4: High-Performance Architecture and Compilers

   1. Introduction

      • Mitsuhisa Sato, Denis Barthou, Pedro C. Diniz, P. Saddayapan

      Pages 267-268

   2. Filtering Directory Lookups in CMPs with Write-Through Caches

      • Ana Bosque, Victor Viñals, Pablo Ibañez, Jose Maria Llaberia

      Pages 269-281

   3. FELI: HW/SW Support for On-Chip Distributed Shared Memory in Multicores

      • Carlos Villavieja, Yoav Etsion, Alex Ramirez, Nacho Navarro

      Pages 282-294

   4. Token3D: Reducing Temperature in 3D Die-Stacked CMPs through Cycle-Level Power Control Mechanisms

      • Juan M. Cebrián, Juan L. Aragón, Stefanos Kaxiras

      Pages 295-309

   5. Bandwidth Constrained Coordinated HW/SW Prefetching for Multicores

      • Sai Prashanth Muralidhara, Mahmut Kandemir, Yuanrui Zhang

      Pages 310-325

   6. Unified Locality-Sensitive Signatures for Transactional Memory

      • Ricardo Quislant, Eladio D. Gutierrez, Oscar Plata, Emilio L. Zapata

      Pages 326-337

   7. Using Runtime Activity to Dynamically Filter Out Inefficient Data Prefetches

      • Oussama Gamoudi, Nathalie Drach, Karine Heydemann

      Pages 338-350

3. Topic 5: Parallel and Distributed Data Management

   1. Introduction

      • Salvatore Orlando, Gabriel Antoniu, Amol Ghoting, Maria S. Perez

      Pages 351-352

   2. Distributed Scalable Collaborative Filtering Algorithm

      • Ankur Narang, Abhinav Srivastava, Naga Praveen Kumar Katta

      Pages 353-365

   3. Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal Data

      • Sriram Lakshminarasimhan, Neil Shah, Stephane Ethier, Scott Klasky, Rob Latham, Rob Ross et al.

      Pages 366-379

   4. kNN Query Processing in Metric Spaces Using GPUs

      • Ricardo J. Barrientos, José I. Gómez, Christian Tenllado, Manuel Prieto Matias, Mauricio Marin

      Pages 380-392

   5. An Evaluation of Fault-Tolerant Query Processing for Web Search Engines

      • Carlos Gomez-Pantoja, Mauricio Marin, Veronica Gil-Costa, Carolina Bonacic

      Pages 393-404

4. Topic 6: Grid Cluster and Cloud Computing

   1. Introduction

      • Ramin Yahyapour, Christian Pérez, Erik Elmroth, Ignacio M. Llorente, Francesc Guim, Karsten Oberle

      Pages 405-406

   2. Self-economy in Cloud Data Centers: Statistical Assignment and Migration of Virtual Machines

      • Carlo Mastroianni, Michela Meo, Giuseppe Papuzzo

      Pages 407-418

   3. An Adaptive Load Balancing Algorithm with Use of Cellular Automata for Computational Grid Systems

      • Laleh Rostami Hosoori, Amir Masoud Rahmani

      Pages 419-430

The two-volume set LNCS 6852/6853 constitutes the refereed proceedings of the 17th International Euro-Par Conference held in Bordeaux, France, in August/September 2011. The 81 revised full papers presented were carefully reviewed and selected from 271 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 networks and mobile ubiquitous computing.

• distributed computing
• high performance computing
• parallel algorithms
• parallel architectures
• parallel programming
• parallelization
• power-aware computing architecture

• Equipe Runtime, INRIA Bordeaux Sud-Ouest, Talence Cedex, France

  Emmanuel Jeannot, Raymond Namyst

• Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, Talence Cedex, France

  Jean Roman

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