| 2023 | 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023, Naples, Italy, March 1-3, 2023 Raffaele Montella, Javier García Blas, Daniele D'Agostino |
| 2023 | A Judgment Aggregation Method for Fuzzy Multi Criteria Decision Making. Arianna Anniciello, Elio Masciari |
| 2023 | A Latency, Throughput, and Programmability Perspective of GrPPI for Streaming on Multi-cores. Adriano Marques Garcia, Dalvan Griebler, Claudio Schepke, André Sacilotto Santos, José Daniel García, Javier Fernández Muñoz, Luiz G. L. Fernandes |
| 2023 | A Tamper-Resistant Storage Framework for Smart Grid security. Salvatore D'Antonio, Roberto Nardone, Nicola Russo, Federica Uccello |
| 2023 | A containerized distributed processing platform for autonomous surface vehicles: preliminary results for marine litter detection. Gennaro Mellone, Ciro Giuseppe De Vita, Dante Domizzi Sánchez-Gallegos, Diana Di Luccio, Gaia Mattei, Francesco Peluso, Pietro Patrizio Ciro Aucelli, Angelo Ciaramella, Raffaele Montella |
| 2023 | A highly scalable high-performance Lagrangian transport and diffusion model for marine pollutants assessment. Raffaele Montella, Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Marco Lapegna, Gloria Ortega López, Livia Marcellino, Enrico Zambianchi, Giulio Giunta |
| 2023 | AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching. Pasqua D'Ambra, Fabio Durastante, S. M. Ferdous, Salvatore Filippone, Mahantesh Halappanavar, Alex Pothen |
| 2023 | An Auto-Tuning Method for High-Bandwidth Low-Latency Approximate Interconnection Networks. Shoichi Hirasawa, Michihiro Koibuchi |
| 2023 | An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs. Keisuke Sugiura, Hiroki Matsutani |
| 2023 | Analyzing Data Reordering of a combined MPI and AVX execution of a Jacobi Method. Thomas Jakobs, Sebastian Kratzsch, Gudula Rünger |
| 2023 | Automatic CPU-GPU Allocation for Graph Execution. Marcelo K. Moori, Hiago Mayk G. de A. Rocha, Matheus A. Silva, Janaina Schwarzrock, Arthur Francisco Lorenzon, Antonio Carlos Schneider Beck |
| 2023 | Bandit-based Variable Fixing for Binary Optimization on GPU Parallel Computing. Ryota Yasudo |
| 2023 | Blockchain-based schemes for continuous verifiability and traceability of IoT data. Cristhian Martinez-Rendon, José Luis González, Dante D. Sánchez-Gallegos, Jesús Carretero |
| 2023 | Configurable synthetic application for studying malleability in HPC. Iker Martín-Álvarez, José Ignacio Aliaga, Maribel Castillo, Sergio Iserte |
| 2023 | Content-aware auto-scaling of stream processing applications on container orchestration platforms. Giuseppe Coviello, Kunal Rao, Ciro Giuseppe De Vita, Gennaro Mellone, Priscilla Benedetti, Srimat Chakradhar |
| 2023 | Convolutional graph neural network training scalability for molecular docking. Kevin Crampon, Alexis Giorkallos, Stéphanie Baud, Luiz Angelo Steffenel |
| 2023 | Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli |
| 2023 | Distributed ICT solutions for scoliosis management. Lorella Bottino, Marzia Settino, Mario Cannataro |
| 2023 | Distributed training and inference of deep learning solar energy forecasting models. Javier Campoy, Ignacio-Iker Prado-Rujas, José Luis Risco-Martín, Katzalin Olcoz, María S. Pérez |
| 2023 | Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator. Midia Reshadi, David Gregg |
| 2023 | Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. Raúl Marichal, Guillermo Toyos, Ernesto Dufrechou, Pablo Ezzatti |
| 2023 | FSP: a Framework for Data Stream Processing Applications targeting FPGAs. Alberto Ottimo, Gabriele Mencagli, Marco Danelutto |
| 2023 | FastFlow targeting FPGAs. Marco Danelutto, Gabriele Mencagli, Alberto Ottimo, Francesco Iannone, Paolo Palazzari |
| 2023 | Federated Learning Meets Blockchain: a Power Consumption Case Study. Nicolò Romandini, Carlo Mazzocca, Rebecca Montanari |
| 2023 | Fine-grained parallel social modelling for analyzing COVID-19 propagation. Aymar Cublier Martínez, Álejandro Alvarez Isabel, Jesús Carretero, David E. Singh |
| 2023 | HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets. Jia-Hao Syu, Jerry Chun-Wei Lin, Marcin Fojcik, Rafal Cupek |
| 2023 | High performance deep learning libraries for biomedical applications. Luca Barillaro, Giuseppe Agapito, Mario Cannataro |
| 2023 | Improving inference time in multi-TPU systems with profiled model segmentation. Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz |
| 2023 | Intrusion Detection Systems for Cyber Attacks Detection in Power Line Communications Networks. Kashif Naseer Qureshi, Noman Arshad, Thomas Newe |
| 2023 | Message from the General Chairs: PDP 2023. Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras |
| 2023 | Message from the Organizing Committee Chairs: PDP 2023. Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras |
| 2023 | Modelling the COVID-19 infection rate through a Physics-Informed learning approach. Mariapia De Rosa, Fabio Giampaolo, Francesco Piccialli, Salvatore Cuomo |
| 2023 | Multi-Cloud Container Orchestration for High-Performance Real-Time Online Applications. Sezar Jarrous-Holtrup, Sergei Gorlatch, Michael Dey, Folker Schamel |
| 2023 | On-Demand and Automatic Deployment of Microservice at the Edge Based on NGSI-LD. Francesco Martella, Valeria Lukaj, Maria Fazio, Antonio Celesti, Massimo Villari |
| 2023 | OpenCAL++: An object-oriented architecture for transparent Parallel Execution of Cellular Automata models. Andrea Giordano, Donato D'Ambrosio, Davide Macrì, Rocco Rongo, Gladys Utrera, Marisa Gil, William Spataro |
| 2023 | Parallel Directives Evaluation in Porous Media Application: A Case Study. Natiele Lucca, Claudio Schepke, Gabriel Tremarin |
| 2023 | Parallel and hierarchically-distributed Shoreline Alert Model (SAM). Ciro Giuseppe De Vita, Gennaro Mellone, Aniello Florio, Catherine Alessandra Torres Charles, Diana Di Luccio, Marco Lapegna, Guido Benassai, Giorgio Budillon, Raffaele Montella |
| 2023 | Parallelizing Multipacting Simulation for the Design of Particle Accelerator Components. Julen Galarza, Javier Navaridas, Jose Antonio Pascual, Txomin Romero, Juan L. Muñoz, Ibon Bustinduy |
| 2023 | Performance Analysis and Benchmarking of a Temperature Downscaling Deep Learning Model. Karthick Panner Selvam, Mats Brorsson |
| 2023 | Performance Analysis and Optimization of the CUDA Implementation of the Three-Dimensional Subsurface XCA-Flow Cellular Automaton. Alessio De Rango, Luca Furnari, Alfonso Senatore, Giuseppe Mendicino, Andrea Giordano, Davide Macrì, Gladys Utrera, Donato D'Ambrosio |
| 2023 | Pooling critical datasets with Federated Learning. Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci |
| 2023 | Priority-aware Inter-Server Receive Side Scaling. Franz Biersack, Kilian Holzinger, Henning Stubbe, Thomas Wild, Georg Carle, Andreas Herkersdorf |
| 2023 | Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. Adriano Vogel, Marco Danelutto, Dalvan Griebler, Luiz Gustavo Fernandes |
| 2023 | Robust feature selection for high-dimensional datasets using a GPU-accelerated ensemble of cooperative coevolutionary optimizers. Marjan Firouznia, Pietro Ruiu, Giuseppe A. Trunfio |
| 2023 | Serverless Functions in the Cloud-Edge Continuum: Challenges and Opportunities. Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti |
| 2023 | Stratus: A Hardware/Software Infrastructure for Controlled Cloud Research. Lucia Pons, Salvador Petit, Julio Pons, María Engracia Gómez, Chaoyi Huang, Julio Sahuquillo |
| 2023 | Summarizing task-based applications behavior over many nodes through progression clustering. Lucas Leandro Nesi, Vinícius Garcia Pinto, Lucas Mello Schnorr, Arnaud Legrand |
| 2023 | Synchronization Efficient Scheduling of Fine-grained Irregular Programs. Tao Tao |
| 2023 | Thea - a QoS, Privacy, and Power-aware Algorithm for Placing Applications on Federated Edges. Paulo Silas Severo de Souza, Carlos Henrique Kayser, Lucas Roges, Tiago Ferreto |
| 2023 | Toward Matrix Multiplication for Deep Learning Inference on the Xilinx Versal. Jie Lei, José Flich, Enrique S. Quintana-Ortí |
| 2023 | Using Edge-based Deep Learning Model for Early Detection of Cancer. Luca Barillaro, Giuseppe Agapito, Mario Cannataro |
| 2023 | Using the Compute Continuum for Data Analysis: Edge-cloud Integration for Urban Mobility. Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio |