Listar ICC_Articles por autoría "b50647a2-c86b-43cf-8df0-e3ac8b53b6c6"
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Comparative analysis of soft-error sensitivity in LU decomposition algorithms on diverse GPUs
Leon, German; Badia, Jose M.; BELLOCH, JOSE A.; LINDOSO, ALMUDENA; Entrena, Luis Springer (2024-02-25)Graphics processing units (GPUs) have become integral to embedded systems and supercomputing centres due to their large memory, cutting-edge technology and high performance per watt. However, their susceptibility to ... -
Comparison of Parallel Implementation Strategies in GPU-Accelerated System-on-Chip Under Proton Irradiation
Badía, José; León, Germán; BELLOCH, JOSE A.; García Valderas, Mario; LINDOSO, ALMUDENA; Entrena, Luis Institute of Electrical and Electronics Engineers (2021-11-16)Commercial off-the-shelf (COTS) system-on-chip (SoC) are becoming widespread in embedded systems. Many of them include a multicore central processing unit (CPU) and a high-end graphics processing unit (GPU). They combine ... -
Evaluating the computational performance of the Xilinx Ultrascale plus EG Heterogeneous MPSoC
BELLOCH, JOSE A.; León, Germán; Badía, José; LINDOSO, ALMUDENA; SAN MILLAN, ENRIQUE Springer (2020-06-06)The emergent technology of Multi-Processor System-on-Chip (MPSoC), which combines heterogeneous computing with the high performance of Field Programmable Gate Arrays (FPGAs) is a very interesting platform for a huge number ... -
Evaluating the soft error sensitivity of a GPU-based SoC for matrixmultiplication
León, Germán; Badía, José; BELLOCH, JOSE A.; LINDOSO, ALMUDENA; Entrena, Luis Elsevier (2020)System-on-Chip (SoC) devices can be composed of low-power multicore processors combined with a small graphics accelerator (or GPU) which offers a trade-off between computational capacity and low-power consumption. In this ... -
Reliability Evaluation of LU Decomposition on GPU-Accelerated System-on-Chip Under Proton Irradiation
Badía, José; León, Germán; BELLOCH, JOSE A.; LINDOSO, ALMUDENA; García Valderas, Mario; Morilla, Yolanda; Entrena, Luis IEEE (2022-03-22)Graphic processing units (GPUs) have become a basic accelerator both in high-performance nodes and low-power system-on-chip (SoC). They provide massive data parallelism and very high performance per watt. However, their ...