Parallel Processing and Applied Mathematics

1. Front Matter

   Pages XIII-XXIV

   PDF

2. Parallel Architectures and Resilience

   1. Front Matter

      Pages 1-1

      PDF

   2. Exploring Memory Error Vulnerability for Parallel Programming Models

      • Isil Oz, Marisa Gil, Gladys Utrera, Xavier Martorell

      Pages 3-11

   3. An Approach for Ensuring Reliable Functioning of a Supercomputer Based on a Formal Model

      • Alexander Antonov, Dmitry Nikitenko, Pavel Shvets, Sergey Sobolev, Konstantin Stefanov, Vadim Voevodin et al.

      Pages 12-22

   4. Sparse Matrix Multiplication on Dataflow Engines

      • Vladimir Simic, Vladimir Ciric, Nikola Savic, Ivan Milentijevic

      Pages 23-30

   5. Energy Efficient Calculations of Text Similarity Measure on FPGA-Accelerated Computing Platforms

      • Michał Karwatowski, Paweł Russek, Maciej Wielgosz, Sebastian Koryciak, Kazimierz Wiatr

      Pages 31-40

3. Numerical Algorithms and Parallel Scientific Computing

   1. Front Matter

      Pages 41-41

      PDF

   2. A Bucket Sort Algorithm for the Particle-In-Cell Method on Manycore Architectures

      • Andreas Jocksch, Farah Hariri, Trach-Minh Tran, Stephan Brunner, Claudio Gheller, Laurent Villard

      Pages 43-52

   3. Experience on Vectorizing Lattice Boltzmann Kernels for Multi- and Many-Core Architectures

      • Enrico Calore, Nicola Demo, Sebastiano Fabio Schifano, Raffaele Tripiccione

      Pages 53-62

   4. Performance Analysis of the Kahan-Enhanced Scalar Product on Current Multicore Processors

      • Johannes Hofmann, Dietmar Fey, Michael Riedmann, Jan Eitzinger, Georg Hager, Gerhard Wellein

      Pages 63-73

   5. Performance Analysis of the Chebyshev Basis Conjugate Gradient Method on the K Computer

      • Yosuke Kumagai, Akihiro Fujii, Teruo Tanaka, Yusuke Hirota, Takeshi Fukaya, Toshiyuki Imamura et al.

      Pages 74-85

   6. Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures

      • Marc Baboulin, Jack Dongarra, Adrien Rémy, Stanimire Tomov, Ichitaro Yamazaki

      Pages 86-95

   7. A Parallel Multi-threaded Solver for Symmetric Positive Definite Bordered-Band Linear Systems

      • Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón

      Pages 96-105

   8. Parallel Algorithm for Quasi-Band Matrix-Matrix Multiplication

      • Dharma Teja Vooturi, Kishore Kothapalli

      Pages 106-115

   9. Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures

      • Alex Druinsky, Pieter Ghysels, Xiaoye S. Li, Osni Marques, Samuel Williams, Andrew Barker et al.

      Pages 116-127

   10. LU Preconditioning for Overdetermined Sparse Least Squares Problems

       • Gary W. Howell, Marc Baboulin

       Pages 128-137

   11. Experimental Optimization of Parallel 3D Overlapping Domain Decomposition Schemes

       • Sofia Guzzetti, Alessandro Veneziani, Vaidy Sunderam

       Pages 138-149

   12. Parallel Implementation of the FETI DDM Constraint Matrix on Top of PETSc for the PermonFLLOP Package

       • Alena Vasatova, Martin Cermak, Vaclav Hapla

       Pages 150-159

   13. Accelerating Sparse Arithmetic in the Context of Newton’s Method for Small Molecules with Bond Constraints

       • Carl Christian Kjelgaard Mikkelsen, Jesús Alastruey-Benedé, Pablo Ibáñez-Marín, Pablo García Risueño

       Pages 160-171

   14. Massively Parallel Approach to Sensitivity Analysis on HPC Architectures by Using Scalarm Platform

       • Daniel Bachniak, Jakub Liput, Lukasz Rauch, Renata Słota, Jacek Kitowski

       Pages 172-181

This two-volume set LNCS 9573 and LNCS 9574 constitutes the refereed proceedings of the 11th International Conference of Parallel Processing and Applied Mathematics, PPAM 2015, held in Krakow, Poland, in September 2015.
The 111 revised full papers presented in both volumes were carefully reviewed and selected from 196 submissions. The focus of PPAM 2015 was on models, algorithms, and software tools which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications, including big data problems.

• Applied mathematics
• Cloud computing
• Neural networks
• Parallel scientific computing
• Performance evaluation
• Accelerators
• Applications of parallel computing
• Data management
• Energy management
• GPU
• Graph algorithms
• Heterogeneous systems
• Interval computation
• Many-core architectures
• Multi-core architectures
• Numerical algorithms
• Parallel algorithms
• Parallel architectures
• Parallel programming languages
• Parallel simulations

• Czestochowa University of Technolog, Czestochowa, Poland

  Roman Wyrzykowski

• Department of Computer Science, University of Southern California, Marina Del Rey, USA

  Ewa Deelman

• Electrical Engineering & Comput. Science, University of Tennessee, Knoxville, USA

  Jack Dongarra

• Czestochowa University of Technology, Institute of Computer & Information Sci., Czestochowa, Poland

  Konrad Karczewski

• Department of Computer Science, AGH University of Science and Technology, Krakow, Poland

  Jacek Kitowski

• Systèmes d’informations, Big Data et Rec, AGH University of Science and Technology, Krakow, Poland

  Kazimierz Wiatr

Policies and ethics