Runtime Vectorization of Conditional Code and Dynamic Range Loops to ARM NEON Engine. - Michael Guilherme Jordan; Tiago Knorst; Julio Costella Vicenzi; Mateus Beck Rutzig (SBESC, 2018)

Boosting SIMD Benefits through a Run-time and Energy Efficient DLP Detection. - Michael Guilherme Jordan; Tiago Knorst; Julio Costella Vicenzi; Mateus Beck Rutzig (DATE, 2019)

Hardware Accelerator for Shapelet Distance Computation in Time-Series Classification. - Victor Oliveira Costa; Carlos Gabriel de Araujo Gewehr; Julio Costella Vicenzi; Everton Alceu Carara; Leonardo Londero de Oliveira (SBCCI, 2020)

Unlocking the Full Potential of Heterogeneous Accelerators by Using a Hybrid Multi-Target Binary Translator. - Tiago Knorst; Julio Costella Vicenzi; Michael Guilherme Jordan; Jonathan Homercher de Almeida; Guilherme Korol; Antonio Carlos Schneider Beck; Mateus Beck Rutzig (SBCCI, 2020)

TRIPP: Transparent Resource Provisioning for Multi-Tenant CPU-GPU based Cloud Environments. - Julio Costella Vicenzi; Tiago Knorst; Michael G. Jordan; Guilherme Korol; Antonio Carlos Schneider Beck; Mateus Beck Rutzig (SBESC, 2021)

On the benefits of Collaborative Thread Throttling and HLS-Versioning in CPU-FPGA Environments. - Tiago Knorst; Guilherme Korol; Michael Guilherme Jordan; Julio Costella Vicenzi; Arthur Francisco Lorenzon; Mateus Beck Rutzig; Antonio Carlos Schneider Beck (SBCCI, 2022)

An energy efficient multi-target binary translator for instruction and data level parallelism exploitation. - Tiago Knorst; Julio Costella Vicenzi; Michael G. Jordan; Jonathan Homercher de Almeida; Guilherme Korol; Antonio C. S. Beck; Mateus B. Rutzig (Des. Autom. Embed. Syst., 2022)

Dedicated Shapelet Distance Engine for Time-Series Classification. - Victor Oliveira Costa; Carlos Gabriel de Araujo Gewehr; Julio Costella Vicenzi; Everton Alceu Carara; Leonardo Londero de Oliveira (IEEE Des. Test, 2022)

Adaptive Inference on Reconfigurable SmartNICs for Traffic Classification. - Julio Costella Vicenzi; Guilherme Korol; Michael Guilherme Jordan; Mateus Beck Rutzig; Antonio Carlos Schneider Beck Filho (AINA (2), 2023)

Dynamic Offloading for Improved Performance and Energy Efficiency in Heterogeneous IoT-Edge-Cloud Continuum. - Julio Costella Vicenzi; Guilherme Korol; Michael G. Jordan; Wagner Ourique de Morais; Hazem Ismail Ali; Edison Pignaton de Freitas; Mateus Beck Rutzig; Antonio Carlos Schneider Beck (ISVLSI, 2023)

Multiprovision: a Design Space Exploration tool for multi-tenant resource provisioning in CPU-GPU environments. - Michael G. Jordan; Julio Costella Vicenzi; Tiago Knorst; Guilherme Korol; Antonio Carlos Schneider Beck; Mateus Beck Rutzig (Des. Autom. Embed. Syst., 2023)

Exploiting Virtual Layers and Pruning for FPGA-Based Adaptive Traffic Classification. - Julio Costella Vicenzi; Guilherme Korol; Michael G. Jordan; Mateus Beck Rutzig; Antonio Carlos Schneider Beck (DSD, 2024)

TARA: Enhancing Real-Time Network Traffic Classification with Hardware Virtual Layers. - Julio Costella Vicenzi; Michael G. Jordan; Guilherme Korol; Tiago Knorst; Mateus Beck Rutzig; Antonio Carlos Schneider Beck (SBCCI, 2024)