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ORCID31st PDP 2023: Naples, Italy
- Raffaele Montella, Javier García Blas, Daniele D'Agostino:
31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023, Naples, Italy, March 1-3, 2023. IEEE 2023, ISBN 979-8-3503-3763-1 - Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras:
Message from the Organizing Committee Chairs: PDP 2023. xiv - Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras:
Message from the General Chairs: PDP 2023. xii-xiii - Karthick Panner Selvam, Mats Brorsson:
Performance Analysis and Benchmarking of a Temperature Downscaling Deep Learning Model. 1-8 - Shoichi Hirasawa, Michihiro Koibuchi:
An Auto-Tuning Method for High-Bandwidth Low-Latency Approximate Interconnection Networks. 9-16 - Raffaele Montella
, Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Marco Lapegna, Gloria Ortega López, Livia Marcellino, Enrico Zambianchi, Giulio Giunta:
A highly scalable high-performance Lagrangian transport and diffusion model for marine pollutants assessment. 17-26 - Marcelo K. Moori, Hiago Mayk G. de A. Rocha, Matheus A. Silva, Janaina Schwarzrock, Arthur Francisco Lorenzon, Antonio Carlos Schneider Beck:
Automatic CPU-GPU Allocation for Graph Execution. 27-34 - Lucas Leandro Nesi, Vinícius Garcia Pinto, Lucas Mello Schnorr, Arnaud Legrand:
Summarizing task-based applications behavior over many nodes through progression clustering. 35-42 - Adriano Vogel, Marco Danelutto, Dalvan Griebler, Luiz Gustavo Fernandes:
Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. 43-50 - Franz Biersack, Kilian Holzinger, Henning Stubbe, Thomas Wild, Georg Carle, Andreas Herkersdorf:
Priority-aware Inter-Server Receive Side Scaling. 51-58 - Pasqua D'Ambra, Fabio Durastante, S. M. Ferdous, Salvatore Filippone, Mahantesh Halappanavar, Alex Pothen:
AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching. 59-67 - Keisuke Sugiura, Hiroki Matsutani:
An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs. 68-75 - Midia Reshadi, David Gregg:
Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator. 76-83 - John S. Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz:
Improving inference time in multi-TPU systems with profiled model segmentation. 84-91 - Alberto Ottimo, Gabriele Mencagli, Marco Danelutto:
FSP: a Framework for Data Stream Processing Applications targeting FPGAs. 92-99 - Salvatore D'Antonio, Roberto Nardone, Nicola Russo, Federica Uccello:
A Tamper-Resistant Storage Framework for Smart Grid security. 100-103 - Marco Danelutto, Gabriele Mencagli, Alberto Ottimo, Francesco Iannone, Paolo Palazzari:
FastFlow targeting FPGAs. 104-108 - Ciro Giuseppe De Vita, Gennaro Mellone, Aniello Florio, Catherine Alessandra Torres Charles, Diana Di Luccio, Marco Lapegna, Guido Benassai, Giorgio Budillon, Raffaele Montella:
Parallel and hierarchically-distributed Shoreline Alert Model (SAM). 109-113 - Giuseppe Coviello, Kunal Rao, Ciro Giuseppe De Vita, Gennaro Mellone, Priscilla Benedetti, Srimat Chakradhar:
Content-aware auto-scaling of stream processing applications on container orchestration platforms. 114-118 - Aymar Cublier Martínez, Álejandro Alvarez Isabel, Jesús Carretero, David E. Singh:
Fine-grained parallel social modelling for analyzing COVID-19 propagation. 119-127 - Iker Martín-Álvarez, José Ignacio Aliaga, Maribel Castillo, Sergio Iserte:
Configurable synthetic application for studying malleability in HPC. 128-135 - Paulo Silas Severo de Souza, Carlos Henrique Kayser, Lucas Roges, Tiago Ferreto:
Thea - a QoS, Privacy, and Power-aware Algorithm for Placing Applications on Federated Edges. 136-143 - 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:
A containerized distributed processing platform for autonomous surface vehicles: preliminary results for marine litter detection. 144-148 - Julen Galarza, Javier Navaridas, Jose Antonio Pascual, Txomin Romero, Juan L. Muñoz, Ibon Bustinduy:
Parallelizing Multipacting Simulation for the Design of Particle Accelerator Components. 149-153 - Ryota Yasudo:
Bandit-based Variable Fixing for Binary Optimization on GPU Parallel Computing. 154-158 - Thomas Jakobs, Sebastian Kratzsch, Gudula Rünger:
Analyzing Data Reordering of a combined MPI and AVX execution of a Jacobi Method. 159-163 - Adriano Marques Garcia, Dalvan Griebler, Claudio Schepke, André Sacilotto Santos, José Daniel García, Javier Fernández Muñoz, Luiz G. L. Fernandes:
A Latency, Throughput, and Programmability Perspective of GrPPI for Streaming on Multi-cores. 164-168 - Cristhian Martinez-Rendon, José Luis González, Dante D. Sánchez-Gallegos, Jesús Carretero:
Blockchain-based schemes for continuous verifiability and traceability of IoT data. 169-172 - Javier Campoy, Ignacio-Iker Prado-Rujas, José Luis Risco-Martín, Katzalin Olcoz, María S. Pérez:
Distributed training and inference of deep learning solar energy forecasting models. 173-176 - Raúl Marichal, Guillermo Toyos, Ernesto Dufrechou, Pablo Ezzatti:
Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. 177-184 - Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli:
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. 185-192 - Kashif Naseer Qureshi, Noman Arshad, Thomas Newe:
Intrusion Detection Systems for Cyber Attacks Detection in Power Line Communications Networks. 193-199 - Jia-Hao Syu, Jerry Chun-Wei Lin, Marcin Fojcik, Rafal Cupek:
HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets. 200-205 - Nicolò Romandini, Carlo Mazzocca, Rebecca Montanari:
Federated Learning Meets Blockchain: a Power Consumption Case Study. 206-211 - Mariapia De Rosa, Fabio Giampaolo, Francesco Piccialli, Salvatore Cuomo:
Modelling the COVID-19 infection rate through a Physics-Informed learning approach. 212-218 - Kevin Crampon, Alexis Giorkallos, Stéphanie Baud, Luiz Angelo Steffenel:
Convolutional graph neural network training scalability for molecular docking. 219-226 - Jie Lei, José Flich, Enrique S. Quintana-Ortí:
Toward Matrix Multiplication for Deep Learning Inference on the Xilinx Versal. 227-234 - Tao Tao:
Synchronization Efficient Scheduling of Fine-grained Irregular Programs. 235-243 - Andrea Giordano, Donato D'Ambrosio, Davide Macrì, Rocco Rongo, Gladys Utrera, Marisa Gil, William Spataro:
OpenCAL++: An object-oriented architecture for transparent Parallel Execution of Cellular Automata models. 244-251 - Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
Using Edge-based Deep Learning Model for Early Detection of Cancer. 252-257 - Lorella Bottino, Marzia Settino, Mario Cannataro:
Distributed ICT solutions for scoliosis management. 258-262 - Alessio De Rango, Luca Furnari, Alfonso Senatore, Giuseppe Mendicino, Andrea Giordano, Davide Macrì, Gladys Utrera, Donato D'Ambrosio:
Performance Analysis and Optimization of the CUDA Implementation of the Three-Dimensional Subsurface XCA-Flow Cellular Automaton. 263-270 - Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
High performance deep learning libraries for biomedical applications. 271-274 - Natiele Lucca, Claudio Schepke, Gabriel Tremarin:
Parallel Directives Evaluation in Porous Media Application: A Case Study. 275-282 - Arianna Anniciello, Elio Masciari:
A Judgment Aggregation Method for Fuzzy Multi Criteria Decision Making. 283-290 - Marjan Firouznia, Pietro Ruiu, Giuseppe A. Trunfio:
Robust feature selection for high-dimensional datasets using a GPU-accelerated ensemble of cooperative coevolutionary optimizers. 291-298 - Lucia Pons, Salvador Petit, Julio Pons, María Engracia Gómez, Chaoyi Huang, Julio Sahuquillo:
Stratus: A Hardware/Software Infrastructure for Controlled Cloud Research. 299-306 - Sezar Jarrous-Holtrup, Sergei Gorlatch, Michael Dey, Folker Schamel:
Multi-Cloud Container Orchestration for High-Performance Real-Time Online Applications. 307-313 - Francesco Martella, Valeria Lukaj, Maria Fazio, Antonio Celesti, Massimo Villari:
On-Demand and Automatic Deployment of Microservice at the Edge Based on NGSI-LD. 314-320 - Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti:
Serverless Functions in the Cloud-Edge Continuum: Challenges and Opportunities. 321-328 - Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci:
Pooling critical datasets with Federated Learning. 329-337 - Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Using the Compute Continuum for Data Analysis: Edge-cloud Integration for Urban Mobility. 338-344
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