On the Accuracy and Performance of Spiking Neural Network Simulations. - Adriano Pimpini; Andrea Piccione; Alessandro Pellegrini 001 (DS-RT, 2022)

Reproducibility Report for the Paper: "Evaluating Performance of Spintronics-Based Spiking Neural Network Chips using Parallel Discrete Event Simulation". - Adriano Pimpini (SIGSIM-PADS, 2022)

Speculative Distributed Simulation of Very Large Spiking Neural Networks. - Adriano Pimpini; Andrea Piccione; Bruno Ciciani; Alessandro Pellegrini 001 (SIGSIM-PADS, 2022)

Towards accessible Parallel Discrete Event Simulation of Spiking Neural Networks. - Adriano Pimpini (SIGSIM-PADS, 2023)

Autonomic Orchestration of in-Situ and in-Transit Data Analytics For Simulation Studies. - Xiaorui Du; Zhuoxiao Meng; Anibal Siguenza-Torres; Alois Knoll; Adriano Pimpini; Andrea Piccione; Stefano Bortoli; Alessandro Pellegrini 001 (WSC, 2023)

HUILLY: A Non-Blocking Ingestion Buffer for Timestepped Simulation Analytics. - Xiaorui Du; Andrea Piccione; Adriano Pimpini; Stefano Bortoli; Alois Knoll; Alessandro Pellegrini 001 (CCGrid, 2024)

Online Analytics with Local Operator Rebinding for Simulation Data Stream Processing. - Xiaorui Du; Andrea Piccione; Adriano Pimpini; Stefano Bortoli; Alessandro Pellegrini 001; Alois Knoll (DS-RT, 2024)

RBlockSim: Parallel and Distributed Simulation for Blockchain Benchmarking. - Adriano Pimpini; Alessandro Pellegrini 001 (SIGSIM-PADS, 2025)

Reproducibility Report for the Paper: "CQSim+: Symbiotic Simulation for Multi-Resource Scheduling in High-Performance Computing". - Adriano Pimpini (SIGSIM-PADS, 2025)