Improving Performance of Long Short-Term Memory Networks for Sentiment Analysis Using Multicore and GPU Architectures. - Cristiano A. Künas; Matheus S. Serpa; Edson Luiz Padoin; Philippe O. A. Navaux (CARLA, 2021)

Offloading the Training of an I/O Access Pattern Detector to the Cloud. - Cristiano A. Künas; Matheus S. Serpa; Jean Luca Bez; Edson L. Padoin; Philippe O. A. Navaux (SBAC-PAD (Workshops), 2021)

Edge Computing versus Cloud Computing: Impact on Retinal Image Pre-processing. - Cristiano A. Künas; Dayla R. Pinto; Lisandro Z. Granville; Matheus S. Serpa; Edson L. Padoin; Philippe O. A. Navaux (SBAC-PADW, 2022)

Accelerating Deep Learning Model Training on Cloud Tensor Processing Unit. - Cristiano A. Künas; Edson L. Padoin; Philippe O. A. Navaux (CLOSER, 2023)

Deploying Deep Learning Models Using Serverless Computing for Diabetic Retinopathy Detection. - Matheus W. Camargo; Cristiano A. Künas; Philippe O. A. Navaux (ICCSA (Workshops 6), 2023)

NeurOPar, A Neural Network-Driven EDP Optimization Strategy for Parallel Workloads. - Cristiano A. Künas; Fábio D. Rossi; Marcelo Caggiani Luizelli; Rodrigo N. Calheiros; Philippe O. A. Navaux; Arthur Francisco Lorenzon (SBAC-PAD, 2023)

Harnessing Cloud Computing for Geophysical Exploration. - Rodrigo C. Machado; Cristiano A. Künas; Arthur Francisco Lorenzon; Alexandre Carissimi; Philippe O. A. Navaux (SBAC-PADW, 2023)

Interleaved Execution of Approximated CUDA Kernels in Iterative Applications. - Gabriel Freytag; Cristiano A. Künas; Paolo Rech; Philippe O. A. Navaux (PDP, 2024)