Near-Data-Processing Architectures Performance Estimation and Ranking using Machine Learning Predictors. - Veronia Iskandar; Mohamed A. Abd El Ghany; Diana Goehringer (DSD, 2021)

Dynamic thread mapping for power-efficient many-core systems under performance constraints. - Veronia Iskandar; Cherif R. Salama; Mohamed Taher (Microprocess. Microsystems, 2022)

Investigating the Impact of Non-Volatile Memories on Energy-Efficiency of Coarse-Grained Reconfigurable Architectures. - Ensieh Aliagha; Veronia Iskandar; Stephan Enseleit; Diana Göhringer (DSD, 2023)

Auto-DOK: Compiler-Assisted Automatic Detection of Offload Kernels for FPGA-HBM Architectures. - Veronia Iskandar; Mohamed A. Abd El Ghany; Diana Goehringer (DSD, 2023)

Compiler-Assisted Kernel Selection for FPGA-based Near-Memory Computing Platforms. - Veronia Iskandar; Mohamed A. Abd El Ghany; Diana Goehringer (FCCM, 2023)

Performance Estimation and Prototyping of Reconfigurable Near-Memory Computing Systems. - Veronia Iskandar; Mohamed A. Abd El Ghany; Diana Goehringer (FPL, 2023)

A Near-Memory Dynamically Programmable Many-Core Overlay. - Mahmoud Ahmed Elshimy; Veronia Iskandar; Diana Goehringer; Mohamed A. Abd El Ghany (MCSoC, 2023)

NDP-RANK: Prediction and ranking of NDP systems performance using machine learning. - Veronia Iskandar; Mohamed A. Abd El Ghany; Diana Goehringer (Microprocess. Microsystems, 2023)

Near-memory Computing on FPGAs with 3D-stacked Memories: Applications, Architectures, and Optimizations. - Veronia Iskandar; Mohamed A. Abd El Ghany; Diana Göhringer (ACM Trans. Reconfigurable Technol. Syst., 2023)

A Novel System Simulation Framework for HBM2 FPGA Platforms. - Hector Gerardo Muñoz Hernandez; Veronia Iskandar; Lukas Steiner; Philipp Holzinger; Matthias Jung 001; Diana Göhringer; Michael Hübner 001; Norbert Wehn; Marc Reichenbach (SAMOS, 2024)