Universidad de Valladolid
Dr. Yuri Torres de la Sierra
Doctor en Informática, Departamento de Informática, UVA

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Publicaciones

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  1. The Role of Field-Programmable Gate Arrays in the Acceleration of Modern High-Performance Computing Workloads Manuel de Castro; David L. Vilariño; Yuri Torres; Diego R. Llanos. IEEE Computer, vol. 57, issue 7, pp 66-76, ISSN 0018-9162. DOI: 10.1109/MC.2024.3378380. [link].
    JCR 2023 (last available): Q3. (2.0, Computer Science, Hardware and Architecture.)
  2. Performance improvement of the triangular matrix product in commodity clusters Inmaculada Santamaría-Valenzuela, Rocío Carratalá-Sáez, Yuri Torres, Arturo Gonzalez-Escribano, and Diego R. Llanos. The Journal of Supercomputing, ISSN 0920-8542, april 2024, Springer. DOI: 10.1007/s11227-024-06097-7. [link].
    JCR 2023 (last available): Q2. (2,5, Computer Science, Theory and Methods.)
  3. Supporting efficient overlapping of host-device operations for heterogeneous programming with CtrlEvents Yuri Torres, Francisco Andujar, Arturo Gonzalez-Escribano, and Diego R. Llanos. Journal of Parallel and Distributed Computing (2023), Elsevier, ISSN 0743-7315, DOI: 10.1016/j.jpdc.2023.04.009. [link].
    JCR 2023: Q1. (3.4, Computer Science, Theory and Methods.)
  4. UVaFTLE: Langrangian Finite Time Lypaunov Exponent extraction for Fluid Dynamic Applications Rocio Carratala-Saez, Yuri Torres, Jose Sierra-Pallares, Sergio Lopez-Huguet and Diego R. Llanos. The Journal of Supercomputing (2023), Springer, ISSN 0920-8542, DOI: 10.1007/s11227-022-05017-x. [link].
    JCR 2023: Q2. (2.5, Computer Science, Theory and Methods.)
  5. Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration. G. Rodriguez-Canal, N. Brown, Y. Torres, A. Gonzalez-Escribano. Concurrency and Computation. Practice and Experience. Concurrency and Computation Practice and Experience, Wiley, (2023), DOI: 10.1002/cpe.7867. [link].
    JCR 2023: Q3. (2.5, Computer Science, Theory and Methods.)
  6. EPSILOD: Efficient parallel skeleton for generic iterative stencil computations in distributed GPUs Manuel de Castro, Inmaculada Santamaria-Valenzuela, Yuri Torres, Arturo Gonzalez-Escribano, and Diego R. Llanos. The Journal of Supercomputing (2023), Springer, ISSN 0920-8542. DOI: 10.1007/s11227-022-05040-y. [link].
    JCR 2023: Q2. (2.2, Computer Science, Theory and Methods.)
  7. Efficient heterogeneous programming with FPGAs using the Controller model G. Rodriguez-Canal, Y. Torres, F.J. Andújar, A. Gonzalez-Escribano. The Journal of Supercomputing, 77, pag. 13995-14010, Springer, 2021, DOI: 10.1007/s11227-021-03792-7. [link].
    JCR 2021: Q2.
  8. Operators for Data Redistribution: Applications to the STL library and RayTracing Algorithm Ana Moreton, Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos. IEEE Access, vol. 9, pp. 38557-38570, 2021, ISSN 2169-3536, feb 2021, DOI: 10.1109/ACCESS.2021.3063628. [link].
    JCR 2021: Q2. (3.476, Computer Science, Information Systems.)
  9. Transferencias de datos asíncronas y transparentes en plataformas heterogéneas. Víctor Lara, Ismael Taboada, Eduardo Rodriguez-Gutiez, Yuri Torres, Arturo Gonzalez-Escribano, and Diego R. Llanos. Actas de las Jornadas SARTECO 2019, Cáceres, Spain 18-20 Sept 2019.
  10. Mecanismo de equilibrado de carga en sistemas heterogéneos. Fernando Alonso, Yuri Torres, Arturo Gonzalez-Escribano, and Diego R. Llanos. Actas de las Jornadas SARTECO 2019, Cáceres, Spain 18-20 Sept 2019.
  11. Multicontroller model for transparent management of heterogeneous devices. Ismael Taboada, Víctor Lara, Eduardo Rodriguez-Gutiez, Yuri Torres, Arturo Gonzalez-Escribano, and Diego R. Llanos. HPC-Europa3 Transnational Access programme (TAM2018, Poster Session), University of Edinburgh, 23rd October 2018.
  12. Solapamiento transparente de tareas de comunicación y computación para mejor rendimiento de aplicaciones de GPU. Ismael Taboada, Yuri Torres, Arturo Gonzalez-Escribano, and Diego R. Llanos. Actas XXII Jornadas de Paralelismo (JJPP’18), Teruel, Spain 12-14 Sept 2018.
  13. Advances in the MultiController model: programming heterogeneous systems in a homogeneous way. Ana Moreton Fernandez, Eduardo Rodriguez-Gutiez, Yuri Torres, Arturo González Escribano, Diego R. Llanos. Compilers for Parallel Computing (CPC 2017), Dublin, April 16-18th 2018. [pdf].
  14. TuCCompi: A Multi-Layer Model for Distributed Heterogeneous Computing with Tuning Capabilities. Hector Ortega-Arranz, Yuri Torres, Arturo González Escribano, Diego R. Llanos. International Journal of Parallel Programming, ISSN 0885-7458. JCR 2015 (last available): Q3.
  15. Comprehensive Evaluation of a New GPU-based Approach to the Shortest-Path Problem. Hector Ortega-Arranz, Yuri Torres, Arturo González Escribano, Diego R. Llanos. The Journal of Supercomputing, ISSN 0885-7458, accepted for publication. JCR 2015 (last available): Q3.
  16. Optimizing an APSP Implementation for NVIDIA GPUs Using Kernel Characterization Criteria. Hector Ortega-Arranz, Yuri Torres, Arturo González Escribano, Diego R. Llanos. The Journal of Supercomputing, ISSN 0920-8542, accepted for publication. JCR: 2nd Third.
  17. TuCCompi: A Multi-Layer Programing Model for Heterogeneous Systems with Auto-Tuning Capabilities. Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano. HLPGPU 2014 workshop, part of the 9th HiPEAC conference Vienna, Austria. 21st January 2014. To appear. CORE A.
  18. Automatic run-time mapping of polyhedral computations to heterogeneous devices with memory-size restrictions. Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano. The 19th International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'13. July 22-25, 2013, Las Vegas, USA. To appear. CORE B. [pdf].
  19. The All-Pair Shortest-Path Problem in Shared-Memory Heterogeneous Systems, Book Chapter. Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano. Book: High-Performance Computing on Complex Environments, ComplexHPC 2013. Series on Parallel and Distributed Computing, Wiley. To appear. [pdf].
  20. A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem. 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), ISBN: 978-84-616-2723-3, Almería, Spain, June 24 - 27, 2013. [pdf].
  21. A New GPU-based Approach to the Shortest Path Problem. Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo González-Escribano. The 2013 International Conference on High Performance Computing & Simulation (HPCS 2013) Helsinki, Finland, July 01 – 05, 2013. CORE B. [pdf]
  22. An extensible system for multilevel automatic data partition and mapping. Arturo González-Escribano, Yuri Torres, Javier Fresno, Diego R. Llanos. IEEE Transactions on Parallel and Distributed Systems (accepted for publicaction). ISSN 1045-9219, IEEE Press, 2013. [pdf accepted version]. JCR: 1do Tercio.
  23. ubench: Exposing the impact of cuda block geometry in terms of performance. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. Accepted for publication in The Journal of Supercomputing, ISSN 0920-8542, 2013. [online-first version]. JCR: 2do Tercio.
  24. ubench: Performance impact of cuda block geometry (2nd ed.) Yuri Torres, Arturo González-Escribano, Diego R. Llanos. Technical Report IT-DI-2012-0001, Dep. Informatica, Universidad de Valladolid, 2012. [pdf online]
  25. Measuring the Impact of Configuration Parameters in CUDA Through Benchmarking. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. CMMSE 2012 (Computational and Mathematical Methods in Science and Engineering), ISBN:978-84-615-5392-1, La Manga - Murcia, Spain, july 02-05, 2012. [pdf]
  26. Encapsulating synchronization and load-balance in heterogeneous programming. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. To appear in Euro-Par 2012 Proceedings, Rhodes, Greece, August 27-31, 2012. CORE A. [pdf]
  27. Using Fermi architecture knowledge to speed up CUDA and OpenCL programs. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. ISPA 2012 ( IEEE International Symposium on Parallel and Distributed Processing with Applications), pags. 617-624, doi 10.1109/ISPA.2012.92, 10-13 july, 2012, Leganés, Madrid. CORE B. [pdf]
  28. Data partition and synchronisation in heterogeneous systems. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. HPC-EUROPA2 project (project number: 228398) with the support of the European Commission - Capacities Area - Research Infrastructures. [pdf online]
  29. Uso del conocimiento de la arquitectura Fermi para mejorar el rendimiento en aplicaciones CUDA. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. Actas XXII Jornadas de Paralelismo, Tenerife, Spain, September 7-9, 2011. [pdf]
  30. CUDA Tuning and Configuration Parameters on Fermi Architectures. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. ACACES 2011 (Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems), ISBN:978-90-382-1798-7, 10-16 july, 2011, Fiuggi, Italy (poster & paper). [poster] [paper]
  31. Understanding the Impact of CUDA tuning techniques for Fermi. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. 2011 Intl. Conf. on High Performance Computing and Simulation (HPCS), pags. 631-639, ISBN 978-1-61284-383-4, Istanbul, Turkey, July 4-8 2011. CORE B. [pdf]
  32. Automatic Data Layout at Multiple Levels for CUDA. Yuri Torres, Arturo González-Escribano, Diego R. Llanos. CMMSE 2010 (Computational and Mathematical Methods in Science and Engineering), ISBN 978-84-613-5510-5, pags. 889-892, Almería, Spain, june 26-30, 2010. [pdf]
www.infor.uva.es/~yuri.torres | (c) 2010 - 2024