7 citations · 14 across the 5 of their papers we have counts for
5 papers
Mamute: high-performance computing for geophysical methods
João B. Fernandes, Antônio D. S. Oliveira, Mateus C. A. T. Silva +8
Due to their high computational cost, geophysical applications are typically designed to run in large computing systems. Because of that, such applications must implement several h…
Auto-Tuning for OpenMP Dynamic Scheduling applied to Full Waveform Inversion
Felipe H. S. da Silva, João B. Fernandes, Idalmis M. Sardina +3
Full Waveform Inversion (FWI) is a widely used method in seismic data processing, capable of estimating models that represent the characteristics of the geological layers of the su…
Adaptive Asynchronous Work-Stealing for distributed load-balancing in heterogeneous systems
João B. Fernandes, Ítalo A. S. de Assis, Idalmis M. S. Martins +2
Supercomputers have revolutionized how industries and scientific fields process large amounts of data. These machines group hundreds or thousands of computing nodes working togethe…
PATSMA: Parameter Auto-tuning for Shared Memory Algorithms
Joao B. Fernandes, Felipe H. S. da Silva, Samuel Xavier-de-Souza +1
Programs with high levels of complexity often face challenges in adjusting execution parameters, particularly when these parameters vary based on the execution context. These dynam…
Auto-tuning of dynamic scheduling applied to 3D reverse time migration on multicore systems
Ítalo A. S. Assis, João B. Fernandes, Tiago Barros +1
Reverse time migration (RTM) is an algorithm widely used in the oil and gas industry to process seismic data. It is a computationally intensive task that suits well in parallel com…