CPU and GPU oriented optimizations for LiDAR data processing
Felipe Muñoz, Rafael Asenjo, Angeles Navarro, J. Carlos Cabaleiro
Journal of Computational Science,
Vol 79, July 2024
Impact Factor: 3.3; Category: Computer Science, Theory and Methods; 37/111, Q2 (JCR 2022)
SkyFlow: Heterogeneous Streaming for Skyline computation using FlowGraph and SYCL
J.C. Romero, A. Navarro, A. Rodriguez, R. Asenjo
Future Generation Computer Systems,
Vol 141, pages 269-283, April 2023
Impact Factor: 7.5; Category: Computer Science, Theory and Methods; 10/111, Q1 (JCR 2022)
Lightweight asynchronous scheduling in heterogeneous reconfigurable systems
A. Rodríguez, A. Navarro, K. Nikov, J. Nunez-Yanez, R. Gran, D. Suárez Gracia, R. Asenjo
Journal of Systems Architecture,
Vol 124, March 2022
Impact Factor: 4.5; Category: Computer Science, Hardware & Architecture; 11/54, Q1 (JCR 2022)
Efficient Heterogeneous Matrix Profile on a CPU + High Performance FPGA with Integrated HBM
J.C. Romero, A. Navarro, A. Vilches, A. Rodriguez, F. Corbera, R. Asenjo
Future Generation Computer Systems,
Vol. 125, December 2021, pp. 10-23
Impact Factor: 7.307; Category: Computer Science, Theory and Methods; 10/109, Q1 (JCR 2021)
Efficiency and productivity for decision making on low-power heterogeneous CPU+GPU SoCs
Denisa-Andreea Constantinescu, Angeles Navarro, Francisco Corbera, Juan-Antonio Fernández-Madrigal, Rafael Asenjo
The Journal of Supercomputing,
Vol 77, pp. 44-65, January 2021
Impact Factor: 2.557; Category: Computer Science, Theory and Methods; 43/110, Q2 (JCR 2021)
Efficient Geometrical Clock Synchronization for Pairwise Sensor Systems
Juan-Antonio Fernández Madrigal, Angeles Navarro, Rafael Asenjo, Ana Cruz-Martin
IEEE Sensors Journal,
Vol 21, NO.1, pp. 838-846, January 2021
Characterization, Statistical Analysis and Method Selection in the Two-Clocks Synchronization Problem for Pairwise Interconnected Sensors
Juan-Antonio Fernández Madrigal, Angeles Navarro, Rafael Asenjo, Ana Cruz-Martin
Sensors Journal,
August 2020
ScrimpCo: Scalable Matrix Profile on Commodity Heterogeneous Processors
Jose Carlos Romero, Antonio Vilches, Andrés Rodríguez, Angeles Navarro, Rafael Asenjo
The Journal of Supercomputing,
March 2020
Impact Factor: 2.474; Category: Computer Science, Theory and Methods; 33/110, Q2 (JCR 2020)
Performance evaluation of decision making under uncertainty for low power heterogeneous platforms
Denisa-Andreea Constantinescu, Angeles Navarro, Juan-Antonio Fernández Madrigal, Rafael Asenjo
Journal of Parallel and Distributed Computing, JPDC,
Vol. 137 pp. 119-133, March 2020
Impact Factor: 3.734; Category: Computer Science, Theory and Methods; 19/110, Q1 (JCR 2020)
Parallel multiprocessing and scheduling on the heterogeneous Xeon+FPGA platform
Andrés Rodríguez, Angeles Navarro, Rafael Asenjo, Francisco Corbera, Rubén Gran, Darío Suárez, Jose Nunez-Yanez
The Journal of Supercomputing,
June 2019
Exploring Heterogeneous Scheduling for Edge Computing with CPU and FPGA MPSoCs
Andrés Rodríguez, Angeles Navarro, Rafael Asenjo, Francisco Corbera, Rubén Gran, Darío Suárez, Jose Nunez-Yanez
Journal of Systems Architecture,
Volume 98, pp. 27-40, Sept. 2019
Heterogeneous parallel_for template for CPU-GPU chips
Angeles Navarro, Francisco Corbera, Andrés Rodríguez, Antonio Vilches, Rafael Asenjo
Intl. Journal of Parallel Programming,
Volumen 47, Issue 2, pp213-233, April 2019
Lightweight Hardware Transactional Memory for GPU Scratchpad Memory
A. Villegas, R. Asenjo, A. Navarro, O. Plata and D. R. Kaeli
IEEE Transactions on Computers,
pp. 816-829. vol 67, issue 6, June 2018
Simultaneous multiprocessing in a software defined heterogeneous FPGA
Jose Nunez-Yanez, Mohammad Hosseinabady, Moslem Amiri, Andrés Rodríguez, Rafael Asenjo, Angeles Navarro, Rubén Gran-Tejero, Darío Suárez-Gracia
Journal of Supercomputing,
April 2018
Toward a software transactional memory for heterogeneous CPU-GPU processors
Alejandro Villegas, Angeles Navarro, Rafael Asenjo, Oscar Plata
Journal of Supercomputing,
April 2018
Parallel algorithms for computing the smallest binary tree size in unit simplex refinement
Guillermo Aparicio, José Manuel García, Leocadio Casado, Rafael Asenjo, Eligius Hendrix
Journal of Parallel and Distributed Computing,
Volume 112, Part 2, Pages 166-178, February 2018
Exploiting social network graph characteristics for efficient BFS on heterogeneous chips
Luis Remis, Maria Jesus Garzaran, Rafael Asenjo, Angeles Navarro
Journal of Parallel and Distributed Computing,
ISSN 0743-7315, Nov, 2017
On parallel Branch and Bound frameworks for Global Optimization
Juan Francisco Rodríguez, José Manuel García, Eligius Hendrix, Rafael Asenjo, Leocadio Casado
Journal of Global Optimization,
Volume 69, Issue 3, pp 547–560, November 2017
Mapping streaming applications on commodity multi-CPU and GPU on-chip processors
A. Vilches, A. Navarro, R. Asenjo, F. Corbera, R. Gran, and M. Garzaran
IEEE Tran. on Parallel and Distributed Systems, Vol 27, No. 4,
IEEE Computer Society, ISSN: 1045-9219, April 2016
A Case Study of Different Task Implementations for Multioutput Stages in non-trivial Parallel Pipeline Applications
Angeles Navarro, Rafael Asenjo, Francisco Corbera, Antonio J Dios and Emilio L Zapata
Journal of Parallel Computing,
June 2014
Strategies for maximizing utilization on multi-CPU and multi-GPU heterogeneous architectures
A. Navarro, A. Vilches, F. Corbera and R. Asenjo
The Journal of Supercomputing,
May 2014
A Data Dependence Test based on the Projection of Paths over Shape Graphs
A. Navarro, F. Corbera, R. Asenjo, R. Castillo and E.L. Zapata,
Journal of Parallel and Distributed Computing,
Volume 72, Issue 12, December 2012, Pages 1547-1564
Detecting loop-carried dependences in programs with dynamic data structures
A. Navarro, F. Corbera, A. Tineo, R. Asenjo and E.L. Zapata,
Journal of Parallel and Distributed Computing,
Volume 67, Issue 1 , January 2007, Pages 47-62
On the parallelization of irregular and dynamic programs
O. Plata, R. Asenjo, E. Gutiérrez, F. Corbera, A. Navarro, E.L. Zapata
Parallel Computing,
vol. 31, Iss. 6, June 2005, pp. 544-562
A Framework to Capture Dynamic Data Structures in Pointer-Based Codes
F. Corbera, R. Asenjo, E.L. Zapata
IEEE Trans. on Parallel and Distributed Systems,
vol. 15, no. 2, February 2004, pp. 151-166
New Shape Analysis and Interprocedural Techniques for Automatic Parallelization of Codes
F. Corbera, R. Asenjo, E.L. Zapata
Int'l J. of Parallel Programming,
vol. 30, no. 1, February 2002, pp. 37-63
Automatic Parallelization of Irregular Applications
E. Gutiérrez, R. Asenjo, O. Plata, E.L. Zapata
J. Parallel Computing,
vol. 26, no. 13-14, December 2000, pp. 1709-1738
Data-Parallel Support for Numerical Irregular Problems
E.L. Zapata, O. Plata, R. Asenjo, G.P. Trabado
J. Parallel Computing,
vol. 25, no. 13-14, pp. 1971-1994, December 1999
Parallel WZ Factorization on Mesh Multiprocessors
R. Asenjo, M. Ujaldón, E.L. Zapata
J. Microprocessing and Microprogramming,
vol. 38, no. 5, 1993, pp. 319-326