Universidad de Valladolid
Hector Ortega-Arranz
Ph.D. in Computer Science at Universidad de Valladolid, Spain

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Publications

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Books

  • The Shortest Path Problem: Analysis and Comparison of Methods [ISBN: 9781627055390, 9781627055406 (ebook)] [M&C link, DOI: 0.2200/S00618ED1V01Y201412TCS001]
    Hector Ortega-Arranz, Diego R. Llanos, Arturo Gonzalez-Escribano. Book, 87 pages. Editor: Morgan & Claypool (Synthesis Lectures on Theoretical Computer Science series).

Manuscripts in JCR-indexed journals

  • Comprehensive Evaluation of a New GPU-based Approach to the Shortest Path Problem [JCR] [Springer link, DOI: 10.1007/s10766-015-0351-z]
    Hector Ortega-Arranz, Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos. International Journal of Parallel Programming 43(5), pp. 918-938, ISSN 0885-7458.
    Cited by 1
    1. Tilewise Accumulated Cost Surface Computation with Graphics Processing Units,
      J. Kovanen, T. Sarjakoski, in ACM Transactions on Spatial Algorithms and Systems, vol 1(2), art. 8, ACM, 2015.


  • TuCCompi: A Multi-Layer Model for Distributed Heterogeneous Computing with Tuning Capabilities [JCR] [Springer link, DOI: 10.1007/s10766-015-0349-6]
    Hector Ortega-Arranz, Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos. International Journal of Parallel Programming 43(5), pp. 939-960, ISSN 0885-7458.

  • Optimizing an APSP Implementation for NVIDIA GPUs Using Kernel Characterization Criteria [JCR] [Springer link, DOI: 10.1007/s11227-014-1212-z]
    Hector Ortega-Arranz, Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos. The Journal of Supercomputing 70 (2), pp. 786-798, ISSN 0920-8542.

International Conference papers (indexed by CORE)

  • A New GPU-based Approach to the Shortest Path Problem [CORE B] [IEEE link, DOI: 10.1109/HPCSim.2013.6641461] [pdf]
    Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano.
    High Performance Computing and Simulation (HPCS), 2013 International Conference on , vol., no., pp.505-511, Helsinki, Finland, July 01 - 05, 2013.
    Cited by 14
    1. Accelerated Steiner Tree Problem Solving on GPU with CUDA,
      C. Mathieu, M. Klusch, in Algorithms and Architectures for Parallel Processing, pp. 444-457, Springer International Publishing, Dec 2015.

    2. GPU-Based Acceleration of Graph Search on Partitioned Graph Databases,
      S. Morishima, H. Matsutani, in Journal of Electronics, Information and Communication Engineers, vol.J98-D, no.12, pp.1436-1450, IEICE, Dec 2015.

    3. An efficient implementation of the Bellman-Ford algorithm for Kepler GPU architectures,
      F. Busato, N. Bombieri, in IEEE Transactions on Parallel & Distributed Systems, vol.PP, no.99, pp.1-1, IEEE, Oct 2015.

    4. MRI Image Segmentation Based on a GPU Shortest Path Algorithm,
      J. Wang, W. Chen, in 2nd International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2015), Atlantis Press, Oct 2015.

    5. Improving Global Performance on GPU for Algorithms with Main Loop Containing a Reduction Operation: Case of Dijkstra's Algorithm,
      A. Chaibou, O. Sie, in Journal of Computer and Communications, 3, pp. 41-54, Aug 2015.

    6. Toward GPU-accelerated Database Optimization,
      A. Meister, S. Breß, G. Saake, in Datenbank-Spektrum, 15(2), pp 131-140, ISSN 1618-2162, Springer, Apr 2015.

    7. Collaborative Diffusion on the GPU for Path-Finding in Games,
      C. McMillan, E. Hart, K. Chalmers, in Proc. 18th European Conference on Applications of Evolutionary Computation, LNCS Volume 9028, pp 418-429, Springer, Mar 2015.

    8. Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries,
      S. Morishima, H. Matsutani, in ACM SIGARCH Computer Architecture News (CAN), Vol.42, No.4, pp.75-80, Sep 2014.

    9. Customizing Driving Directions with GPUs,
      D. Delling, M. Kobitzsch, R. F. Werneck, in Euro-Par 2014 Parallel Processing, LNCS Volume 8632, 2014, pp 728-739, Springer, Aug 2014.

    10. Parallel Shortest Path Algorithm for Voronoi Diagrams with Generalized Distance Functions,
      J. Toss, J. Comba, B. Raffin in XXVII SIBGRAPI, Conference on Graphics Patterns and Images, Aug 2014.

    11. GPU-Based Acceleration on Partitioned Graph Databases,
      S. Morishima, H. Matsutani, in IEICE Technical Reports CPSY2014-38 (SWoPP'14), Vol.114, No.155, pp.167-172, Jul 2014.

    12. Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries,
      S. Morishima, H. Matsutani, in Proc. of 5th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, HEART'2014, Jun 2014.

    13. Efficient Implementation of Hyperspectral Anomaly Detection Techniques on GPUs and Multicore Processors,
      J.M. Molero, E.M. Garzon, I. Garcia, E.S. Quintana-Orti, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6), pp 2256-2266, IEEE Press, Jun 2014.

    14. Performance Evaluation of Graph Database using Multicore and GPU,
      S. Morishima, H. Matsutani, in IEICE Technical Reports CPSY2013-92, Vol.113, No.417, pp.113-118, Jan 2014.

Book Chapter Communications

  • The All-Pair Shortest-Path Problem in Shared-Memory Heterogeneous Systems [ISBN: 978-1-118-71205-4] [WILEY link] [pdf]
    Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano.
    High-Performance Computing on Complex Environments (Book Chapter, ComplexHPC 2013) Series on Parallel and Distributed Computing, Wiley.
    Cited by 3
    1. All-Pairs Shortest Path algorithms for planar graph for GPU-accelerated clusters,
      H. Djidjev, G. Chapuis, R. Andonov, S. Thulasidasan, D. Lavenier, in Journal of Parallel and Distributed Computing, vol 85, pp 91-103, Elsevier, 2015.

    2. Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths,
      H. Djidjev, S. Thulasidasan, G. Chapuis, D. Lavenier, in IEEE 28th International Parallel and Distributed Processing Symposium, pp 360-369, IEEE Press, 2014.

    3. Implementações paralelas para os problemas do fecho transitivo e caminho mínimo APSP na GPU,
      RDRA Gaioso, Master Dissertation, Universidade Federal de Goiás, 2014.

International Conference Communications

  • A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem [ISBN: 978-84-616-2723-3] [CMMSE link] [pdf] [poster]
    Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano.
    The 13th International Conference Computational and Mathematical Methods in Science and Engineering (CMMSE 2013), vol. 4, pp. 1114-1125, Almería, Spain, June 24 - 27, 2013.
    Cited by 2
    1. Efficient Implementation of Hyperspectral Anomaly Detection Techniques on GPUs and Multicore Processors,
      J.M. Molero, E.M. Garzon, I. Garcia, E.S. Quintana-Orti, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(6), pp 2256-2266, IEEE Press, 2014.

    2. Implementações paralelas para os problemas do fecho transitivo e caminho mínimo APSP na GPU,
      RDRA Gaioso, Master Dissertation, Universidade Federal de Goiás, 2014.

Workshop papers

  • TuCCompi: A Multi-Layer Programing Model for Heterogeneous Systems with Auto-Tuning Capabilities [pdf]
    Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano.
    HLPGPU 2014 workshop, part of the 9th HiPEAC conference. Vienna, Austria. January 21st 2014.