March 1-3, Naples, Italy

PDP 2023

31st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

Parallel, Distributed, and Network-Based Processing

Parallel, Distributed, and Network-Based Processing has undergone impressive change over recent years. New architectures and applications have rapidly become the central focus of the discipline. These changes are often a result of the cross-fertilization of parallel and distributed technologies with other rapidly evolving technologies. Therefore, reviewing and assessing these new developments is paramount compared with recent research achievements in the well-established areas of parallel and distributed computing from industry and the scientific community. PDP 2023 will provide a forum for presenting these and other issues through original research presentations and facilitate the exchange of knowledge and new ideas at the highest technical level. This year's edition is part of the dissemination activities of the ADMIRE project, wich will also be an exhibitor at the conference Demo Area together with E4 Computer Engineering.


Registration is now open! Take advantage of our Early Registration fees until February 17th.

About Euromicro

Euromicro is an international scientific organization advancing sciences and applications of Information Technology and Microelectronics. A significant focus is organizing conferences and workshops in Computer Science and Computer Engineering. Euromicro is a non-profit association founded in 1974, and annual meetings have taken place in more than 20 countries all over Europe. Find out more


The ADMIRE project aims to avoid congestion and balance computational with storage performance when processing extremely large data sets. The main objective of the ADMIRE project is to establish this control by creating an active I/O stack that dynamically adjusts computation and storage requirements through intelligent global coordination, the malleability of computation and I/O, and the scheduling of storage resources along all levels of the storage hierarchy. Find out more

Please, register for the conference social events before February 17th.

Call for Papers

Submit your papers to EasyChair.

Parallel, Distributed, and Network-Based Processing has undergone impressive change over recent years. New architectures and applications have rapidly become the central focus of the discipline. These changes are often a result of the cross-fertilization of parallel and distributed technologies with other rapidly evolving technologies. Therefore, reviewing and assessing these new developments is paramount compared with recent research achievements in the well-established parallel and distributed computing areas from industry and the scientific community. PDP 2022 will provide a forum for presenting these and other issues through original research presentations and will facilitate the exchange of knowledge and new ideas at the highest technical level. Topics of interest include, but are not restricted to:

Parallel Computing: massively parallel machines; embedded parallel and distributed systems; multi- and many-core systems; GPU and FPGA-based parallel systems; parallel I/O; memory organization.

Distributed and Network-based Computing: Cluster, Grid, Web, and Cloud computing; mobile computing; interconnection networks.

Big Data: large-scale data processing; distributed databases and archives; large-scale data management; metadata; data-intensive applications.

Programming models and Tools: programming languages and environments; runtime support systems; performance prediction and analysis; simulation of parallel and distributed systems.

Systems and Architectures: novel system architectures; high data throughput architectures; service-oriented architectures; heterogeneous systems; shared-memory and message-passing systems; middleware and distributed operating systems; dependability and survivability; resource management.

Advanced Algorithms and Applications: distributed algorithms; multi-disciplinary applications; computations over irregular domains; numerical applications with multi-level parallelism; real-time distributed applications.

The Call for Papers is available here.

Important dates

  • Deadline for paper submission: November 30 December 11 December 18 (firm), 2022
  • Acceptance notification: January 22, 2022
  • Camera-ready paper due: February 3, 2023
  • Registration open: January 25, 2023
  • Authors’ registration until: February 15, 2023
  • Early registration until: February 17, 2023
  • Conference: March 1 – 3, 2023

Submission of Papers

Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt) to the conference main track or the Special Sessions through the EasyChair submission system (see link below) indicating the Main Track or the chosen Special Session. The submission period will open on July 31st.
  • Double-blind review: the paper should not contain authors’ names and affiliations; in the reference list, references to the authors’ work entries should be substituted with the string “omitted for blind review”.
  • Publicationall accepted papers will be included in the same proceedings volume published by Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be announced after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted for indexing, among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.

Journal Special Issue

Selected papers will be invited to submit an extended version to a special issue in the selected JCR-indexed journals Microprocessors and Microsystems (Elsevier) and The Journal of Supercomputing (Springer).

Special issue on Parallel, Distributed, and Network-Based Systems

This special issue of the Microprocessors and Microsystems (MICPRO) journal is devoted to selected high-quality papers from the 31st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. Submission deadline is 30 September 2023. Call for paper

New Trends in Parallel, Distributed, and Network-based Processing: Key Technologies, Tools, and Applications

This special issue of The Journal of Supercomputing (JSUPE) is devoted to selected high-quality papers from the PDP 2023, as well as to other high-quality papers that fit the Special Issue topics. Submission deadline is 30 September 2023. Call for paper

Instructions for authors of accepted papers

IMPORTANT DATES: These are hard deadlines. Please let us know if you will have any problems meeting them:
  • Camera-ready: February 3rd
  • IEEE Copyright transfer: February 17th
  • Early registration until: February 17th
  PROCEEDINGS The paper will be published in the Conference Proceedings subject to the following:
  1. Upload a camera-ready version complying with the final manuscript format requirements and the following page limits:

    Full paper: Maximum of 8 pages; additional pages are charged with 60 Eur. per extra page (up to 2 additional pages)

    Short paper: Maximum of 4 pages; an additional page can be included with a charge of 60 Eur.

  2. Full consideration of reviewers’ remarks and suggestions for the elaboration of the camera-ready version
  3. Provide the following required extra material: Fulfilled IEEE copyright transfer form; information about the presenter, including plain text with a short bio and a photograph.
  4. Full registration of at least one of the authors of each manuscript.
SUBMIT DOCUMENTATION AND EXTRA INFORMATION The following documentation should be provided to the organization by the indicated deadlines:
  1. Camera-ready: the final version of the paper should be uploaded to the EasyChair platform as a new version of the same submission.
  2. Copyright form: authors will timely receive instructions to fulfill the IEEE copyright transfer form.
REGISTRATION Please note that at least one of the originally submitting authors of an accepted paper has to fully register for the conference (i.e., with Euromicro member fee or with Euromicro non-member fee) until February 15th, 2023. Otherwise, the paper will not be included in the Proceedings. Check the Registration page.

Registration is available from €430. Join us in Naples on 1-3 March and be part of the change!

Registration Fees

The registration procedure is managed by the Euromicro web portal.


Euromicro member - early registration


Euromicro member - late registration


NON member - early registration


NON member - late registration


Student - early registration


Student - late registration


Conference Schedule

PDP 2023 full schedule of keynotes, sessions & workshops will be available soon

8:00AM - 9:15AMMAIN HALL

Registration and welcome espresso

Registration for PDP 2023. Pick up your name badge and goodie bag.

Opening Ceremony

Welcome message by Prof. Raffaele Montella, general chair.
Prof. Antonio Garofalo, Rector of the University of Naples "Parthenope"
Prof. Andrea Soricelli, Head of the School of Science, Engineering and Health, University of Naples "Parthenope"
Karl-Erwin Grosspietsch, Euromicro Chair
Brendan Bouffler
Brendan Bouffler

Head of Developer Relations - HPC Engineering at Amazon Web Services

Keynote – Distributed computing disrupts. Discuss.

Distributed computing is becoming more integrated into the lives of humans than most would recognize, leading to some great outcomes (and some less-than-great ones, we should also admit)... [Read more]
Chair: Raffaele Montella, University of Naples “Parthenope”
11:15AM - 11:30AMSALA WAGNER

Coffee Break

Italian coffee, juices and pastries.    
Karl-Erwin Grosspietsch


Main Track

Karthick Panner Selvam and Mats Brorsson: Performance Analysis and Benchmarking of a Temperature Downscaling Deep Learning Model
Shoichi Hirasawa and Michihiro Koibuchi: An Auto-Tuning Method for High-Bandwidth Low-Latency Approximate Interconnection Networks
Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Raffaele Montella, Marco Lapegna, Gloria Ortega, Livia Marcellino, Enrico Zambianchi, and Giulio Giunta: A highly scalable high-performance Lagrangian transport and diffusion model for marine pollutants assessment
Marcelo Koji Moori, Hiago Mayk G. de A. Rocha, Matheus Almeida Silva, Janaína Schwarzrock, Arthur Lorenzon, and Antonio Carlos Schneider Beck Filho: Automatic CPU-GPU Allocation for Graph Execution
Jesus Carretero

University Carlos III of Madrid

BDCSA2023: Big Data Convergence: from Sensors to Applications

Jesus Carretero and Cristhian Martinez: Blockchain-based schemes for continuous verifiability and traceability of IoT data
Javier Garcia Blas, Cosmin Octavian Petre, Genaro Juan Sanchez Gallegos, and Jesus Carretero: Network accelerated in-memory ad-hoc file system for data-centric and high-performance applications
David E. Singh, Alvaro Arbe Milara, and Jesus Carretero: Energy-aware malleable scheduling techniques
Paula Ferrero-Roza, José A. Moríñigo, and Filippo Terragni: Scaling of the SVD Algorithm for HPC Science: A PETSc-based Approach
Salvatore Cuomo

University of Naples “Federico II”

SALTCSMLNHPC2023: Scalable Algorithms, Libraries and Tools for Computational Science and Machine Learning on New Heterogeneous HPC Systems

Raúl Marichal, Guillermo Toyos, Ernesto Dufrechou, and Pablo Ezzatti: Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks
Bruno Galluzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, and Francesco Piccialli: Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity
Kashif Qureshi, Noman Arshad, and Thomas Newe: Intrusion Detection Systems for Cyber Attacks Detection in Power Line Communications Networks
Jia-Hao Syu, Jerry Chun-Wei Lin, Marcin Fojcik, and Rafal Cupek: HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets


Buffet lunch with Italian specialties.    
Angelo Ciaramella
Angelo Ciaramella

Full Professor at DiST University of Naples “Parthenope”

Keynote – Soft Computing in data integration and decision-making

This talk explores the progress made in decision-making, data integration, and record linkage in addressing novel challenges by using Soft Computing methodologies and identifies a range of open challenges for the community.... [Read more]
Chair: Jesús Carretero, Universidad Carlos III de Madrid

Coffee Break

Italian coffee, juices and pastries.    
Valeria Mele

University of Naples “Federico II”

Main Track

Lucas Leandro Nesi, Vinícius Garcia Pinto, Lucas Mello Schnorr, and Arnaud Legrand: Summarizing task-based applications behavior over many nodes through progression clustering
Adriano Vogel, Marco Danelutto, Dalvan Griebler, and Luiz Fernandes: Revisiting self-adaptation for efficient decision-making at run-time in parallel executions
Franz Biersack, Kilian Holzinger, Henning Stubbe, Thomas Wild, Georg Carle, and Andreas Herkersdorf: Priority-aware Inter-Server Receive Side Scaling
Pasqua D'Ambra, Fabio Durastante, S M Ferdous, Salvatore Filippone, Mahantesh Halappanavar, and Alex Pothen: AMG Preconditioners based on parallel hybrid coarsening and multi-objective graph matching
Katzalin Olcoz

Universidad Complutense de Madrid

BDCSA2023: Big Data Convergence: from Sensors to Applications

Javier Campoy, Ignacio-Iker Prado-Rujas, José L. Risco-Martín, Katzalin Olcoz, and María S. Pérez: Distributed training and inference of deep learning solar energy forecasting models
Alvaro Cuartero-Montilla and Rafael Mayo-García: Application of advanced Artificial Intelligence methodologies for the development of a gene therapy for the primary Hyperoxaluria
Tommaso Marinelli, José Ignacio Gómez Pérez, Christian Tenllado, and Francky Catthoor: Efficiency-Aimed Pattern Analysis and Data Mapping in Hybrid Cache-SPM Architectures
Elías Del-Pozo-Puñal, Felix Garcia-Carballeria, and Diego Camarmas-Alonso: ENIGMA: A Scalable Simulator for IoT and Edge Computing
Francesco Piccialli

University of Naples “Federico II”

SALTCSMLNHPC2023: Scalable Algorithms, Libraries and Tools for Computational Science and Machine Learning on New Heterogeneous HPC Systems

Nicolo Romandini, Carlo Mazzocca, and Rebecca Montanari: Federated Learning Meets Blockchain: a Power Consumption Case Study
Maria Pia De Rosa, Fabio Giampaolo, Francesco Piccialli, and Salvatore Cuomo: Modelling the COVID-19 infection rate through a Physics-Informed learning approach
Kevin Crampon, Alexis Giorkallos, Stéphanie Baud, and Luiz Angelo Steffenel: Convolutional graph neural network training scalability for molecular docking
Jie Lei, José Flich, and Enrique S. Quintana-Ortí: Toward Matrix Multiplication for Deep Learning Inference on the Xilinx Versal
Tao Tao: Synchronization Efficient Scheduling of Fine-grained Irregular Programs
5:45PM - 8:30PMMAIN HALL

Guided Tour (reservation needed)

Burbon Tunnel - Adventure Tour

Location: Burbon Tunnel, via Domenico Morelli 61, Naples
Details: departure from the conference venue Villa Doria d’Angri with a private shuttle. The tour starts at 7:00PM (1.30h)
Recommendations: comfortable, non-slippery shoes and a jacket or sweatshirt are recommended.
We regret that this tour is not suitable for people with claustrophobia and walking difficulties.
Please, fill in the form before February 17 to reserve your spot.
9:00AM - 10:00AMFrontdesk

Reception & Coffee

10:00AM - 10:45AMTEATRO
Jorge Ejarque Artigas
Jorge Ejarque Artigas

Senior Research Engineer at Barcelona Supercomputing Center

Keynote – Introducing the FaaS model in Complex HPC Workflows: The eFlows4HPC approach

The speaker will present the problems and challenges to facilitate the development, deployment, and execution of complex workflows in the HPC sites and their analogies with the Function-as-a-Service model used in the Cloud Computing environment... [Read more]
Chair: Angelo Ciaramella, University of Naples “Parthenope”
10:45AM - 11:00AMSALA WAGNER

Coffee Break

Italian coffee, juices and pastries.    
Antonella Galizia


Main Track

Keisuke Sugiura and Hiroki Matsutani: An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs
Midia Reshadi and David Gregg: Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator
Jorge Villarrubia, Luis Costero, Francisco D. Igual, and Katzalin Olcoz: Improving inference time in multi-TPU systems with profiled model segmentation
Alberto Ottimo, Gabriele Mencagli, and Marco Danelutto: FSP: a Framework for Data Stream Processing Applications targeting FPGAs
William Spataro

University of Calabria

HPCMS2023: High Performance Computing in Modelling and Simulation

Marjan Firouznia, Pietro Ruiu, and Giuseppe A. Trunfio: Robust feature selection for high-dimensional datasets using a GPU-accelerated ensemble of cooperative coevolutionary optimizers
Luca Barillaro, Giuseppe Agapito, and Mario Cannataro: Using Edge-based Deep Learning Model for Early Detection of Cancer
Lorella Bottino, Marzia Settino, and Mario Cannataro: Distributed ICT solutions for scoliosis management
Alessio De Rango, Luca Furnari, Alfonso Senatore, Giuseppe Mendicino, Andrea Giordano, Davide Macrì, Gladys Utrera, and Donato D'Ambrosio: Performance Analysis and Optimization of the CUDA Implementation of the Three-Dimensional Subsurface XCA-Flow Cellular Automaton


FlexMPI: Malleability Techniques and Applications in High-Performance Computing


Buffet lunch with Italian specialties.    
Pasqua D’Ambra
Pasqua D’Ambra

Senior Research Scientist at Institute for Applied Computing of the National Research Council and CINI National Lab. on HPC-KTT

Keynote – Node-level efficiency and scalability issues in iterative sparse linear solvers at scale

In this talk, I will present activities aimed at designing and developing algorithms and mathematical software that enable scientific and engineering applications to face the exascale challenge... [Read more]
Chair: Jorge Ejarque Artigas, Barcelona Supercomputing Center

Coffee Break

Italian coffee, juices and pastries.    
Giuliano Laccetti

University of Naples Federico II

Main Track

Federica Uccello, Salvatore D'Antonio, Roberto Nardone, and Nicola Russo: A Tamper-Resistant Storage Framework for Smart Grid security
Marco Danelutto, Paolo Palazzari, Alberto Ottimo, Gabriele Mencagli, and Francesco Iannone: FastFlow targeting FPGAs
Ciro Giuseppe De Vita, Gennaro Mellone, Aniello Florio, Catherine Alessandra Torres Charles, Diana Di Luccio, Guido Benassai, Marco Lapegna, Giorgio Budillon, and Raffaele Montella: Parallel and hierarchically-distributed Shoreline Alert Model (SAM)
Giuseppe Coviello, Kunal Rao, Gennaro Mellone, Ciro Giuseppe De Vita, Priscilla Benedetti, and Srimat Chakradhar: Content-aware auto-scaling of stream processing applications on container orchestration platforms
Giuseppe Trunfio

University of Sassari

HPCMS2023: High Performance Computing in Modelling and Simulation

Luca Barillaro, Giuseppe Agapito, and Mario Cannataro: High performance deep learning libraries for biomedical applications
Natiele Lucca, Claudio Schepke, and Gabriel Dineck Tremarin: Parallel Directives Evaluation in Porous Media Application: A Case Study
Arianna Anniciello and Elio Masciari: A Judgment Aggregation Method For Fuzzy Multi Criteria Decision Making
Andrea Giordano, Donato D'Ambrosio, Davide Macrì, Rocco Rongo, William Spataro, Gladys Utrera, and Marisa Gil: OpenCAL++: An object-oriented architecture for transparent Parallel Execution of Cellular Automata models


FlexMPI: Malleability Techniques and Applications in High-Performance Computing
4:30PM - 6:00PMTEATRO
E4 Computer Engineering

Industrial Session

Chairs: Giuseppe Coviello, NEC Labs America; Brendan Bouffler, Amazon Web Services

Aperitivo & Social Dinner (reservation needed)

Location: the conference venue, Villa Doria d’Angri.
Please, fill in the form before February 17 to confirm your attendance and notify us the number of accompanying persons and your dietary restrictions.
9:00AM - 10:00AMFrontdesk

Reception & Coffee

10:00AM - 10:45AMTEATRO
Giuseppe Coviello
Giuseppe Coviello

Researcher in Integrated Systems at NEC Labs America

Keynote – A solution for real-time streaming applications

Throughout history, humanity has collected data by observing natural phenomena. Collecting data from observations, analyzing it, and deriving higher-level insights are natural inclinations of human beings and essential processes for developing past, present, and future civilizations... [Read more]
Chair: Marco Lapegna, University of Naples “Federico II”
10:45AM - 11:00AMSALA WAGNER

Coffee Break

Italian coffee, juices and pastries.    
Marco Lapegna

University of Naples “Federico II”

Main Track

Aymar Cublier Martínez, Alejandro Álvarez Isabel, Jesús Carretero, and David E. Singh: Fine-grained parallel social modelling for analyzing the COVID-19 propagation
Iker Martín Álvarez, José Ignacio Aliaga, Maribel Castillo, and Sergio Iserte: Configurable synthetic application for studying malleability in HPC
Paulo Souza, Carlos Kayser, Lucas Roges, and Tiago Ferreto: Thea – a QoS, Privacy, and Power-aware Algorithm for Placing Applications on Federated Edges
Gennaro Mellone, Ciro Giuseppe De Vita, Dante Domizzi Sánchez-Gallegos, Diana Di Luccio, Gaia Mattei, Francesco Peluso, Pietro Patrizio Ciro Aucelli, Angelo Ciaramella, and Raffaele Montella: A containerized distributed processing platform for autonomous surface vehicles: preliminary results for marine litter detection
Emanuel Di Nardo

University of Naples “Parthenope”

CCIaaSA2023: Cloud Computing on Infrastructure as a service and its Applications

Lucía Pons, Salvador Petit, Julio Pons, Maria E. Gomez, Chaoyi Huang, and Julio Sahuquillo: Stratus: A Hardware/Software Infrastructure for Controlled Cloud Research
Sezar Jarrous-Holtrup, Sergei Gorlatch, Michael Dey, and Folker Schamel: Multi-Cloud Container Orchestration for High-Performance Real-Time Online Applications
Maria Fazio

University of Messina

CC2023: Compute Continuum

Francesco Martella, Valeria Lukaj, Maria Fazio, Antonio Celesti, and Massimo Villari: On-Demand and Automatic Deployment of Microservice at the Edge Based on NGSI-LD
Gabriele Russo Russo, Valeria Cardellini, and Francesco Lo Presti: Serverless Functions in the Cloud-Edge Continuum: Challenges and Opportunities
Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, and Marco Aldinucci: Pooling critical datasets with Federated Learning
Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, and Paolo Trunfio: Using the Compute Continuum for Data Analysis: Edge-cloud Integration for Urban Mobility


Buffet lunch with Italian specialties.    
Alessandro Mei
Alessandro Mei

Full Professor at Department of Computer Science at Sapienza University of Rome

Keynote – Frauds in the Cryptocurrency Ecosystem

While regulating the standard cryptocurrencies market is not easy, ruling the on-chain trading platform is harder. In this talk, we will see what are the major security challenges for investors in the cryptocurrency environment, what are the main frauds, and what we can do to build a safer eco-system... [Read more]
Chair: Marco Danelutto, University of Pisa

Coffee Break

Italian coffee, juices and pastries.    
Javier Garcia Blas

Universidad Carlos III de Madrid

Main Track

Julen Galarza, Javier Navaridas, Jose A. Pascual, Juan L Muñoz, Ibon Bustinduy, and Txomin Romero: Parallelizing Multipacting Simulation for the Design of Particle Accelerator Components
Ryota Yasudo: Bandit-based Variable Fixing for Binary Optimization on GPU Parallel Computing
Thomas Jakobs, Sebastian Kratzsch, and Gudula Ruenger: Analyzing Data Reordering of a combined MPI and AVX execution of a Jacobi Method
Adriano Marques Garcia, Dalvan Griebler, Claudio Schepke, André Sacilotto Santos, Jose Daniel Garcia, Javier Fernandez Muñoz, and Luiz Gustavo Fernandes: A Latency, Throughput, and Programmability Perspective of GrPPI for Streaming on Multi-cores
Raffaele Montella

University of Naples “Parthenope”

Awards and conclusions

Keynote Speakers

Well known industry leaders and emerging talents

  • Brendan


    Head of Developer Relations at HPC Engineering (Amazon Web Services)

  • Angelo


    Full Professor - DiST (University of Naples ``Parthenope``)

  • Giuseppe


    Researcher in Integrated Systems (NEC Labs America)

  • Pasqua


    Research Director (National Research Council)

  • Ejarque Artigas


    Ejarque Artigas

    Senior Research Engineer (Barcelona Supercomputing Center)

  • Alessandro


    Full Professor - Department of Computer Science (Sapienza University of Rome)

Special Sessions

The following Special Sessions will be part of PDP 2023

HPCMS intent is to offer an opportunity to express and confront views on trends, challenges, and state-of-the art in diverse application fields, such as engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc.

Topics of interest include, but are not limited to:

  • High-performance computing in computational science: intra-disciplinary and multi-disciplinary research applications;
  • Complex systems modeling and simulation;
  • Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations;
  • Integrated approach to optimization and simulation;
  • MPI, OpenMP, GPGPU applications in Computational Science;
  • Optimization algorithms, modelling techniques related to optimization in Computational Science;
  • High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems;
  • Hardware approaches of high performance computing in modeling and simulation.

As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. For instance, a selected number of papers of the past workshop editions have been published on the ISI Journals “Journal of Parallel and Distributed Computing”, “International Journal of High Performance Computing Applications” and “Concurrency and Computation: Practice and Experience”



Program Committee

Heterogeneity is emerging as one of the main characteristics of today’s and future HPC environments where different node organizations, memory hierarchies, and kinds of exotic accelerators are increasingly present. It pervades the entire spectrum of Computing Continuum, ranging from large Cloud infrastructures and Datacenter up to the Internet of Things and Edge Computing environments, aimed at making available in a transparent and friendly way the multitude of low-power and heterogeneous HPC resources available everywhere around us. In this context, for Computational Science and Machine Learning, it is essential to leverage efficient and highly scalable libraries and tools capable of exploiting such modern heterogeneous computers. These systems are typically characterized by very different software environments, which require a new level of flexibility in the algorithms and methods used to achieve an adequate level of performance, with growing attention to energy consumption. This conference Special Session aims to provide a forum for researchers and practitioners to discuss recent advances in parallel methods and algorithms and their implementations on current and future heterogeneous HPC architectures. We solicit research works that address algorithmic design, implementation techniques, performance analysis, integration of parallel numerical methods in science and engineering applications, energy-aware techniques, and theoretical models that efficiently solve problems on heterogeneous platforms.

We focus on papers covering various topics of interest that include, but are not limited to, the following:

  • Tools and programming environments support different forms of parallelism.
  • Heterogeneous algorithms for dense and sparse numerical linear algebra
  • Heterogeneous algorithms for optimization and non-linear problems
  • Applications of heterogeneous numerical algorithms in science and engineering
  • Analysis methods for large data sets
  • Multi/Many-cores and GPU tools for the parallel solution of large-scale problems
  • Performance and scalability models
  • Energy-aware algorithms
  • Auto-tuning techniques for heterogeneous and parallel environments
  • Multi-level cache management
  • Task scheduling and load balancing among heterogeneous computing elements
  • HPC on low-power devices
  • Integration of Cloud/Fog/Edge computing techniques and tools


Programme Committee:

Cloud Computing covers a broad range of distributed computing principles from infrastructure (e.g distributed storage, reconfigurable networks) to new programming platforms (e.g MS Azure, Google Appe Engine), and internet-based applications. Particularly, Infrastructure as a Service (IaaS) Cloud systems allow the dynamic creation, destruction and management of virtual machines (VMs) as part of virtual computing infrastructures. IaaS Clouds provide a high-level of abstraction to the end user, one that allows the creation of on-demand services through a pay as you go infrastructure combined with elasticity. The increasingly large range of choices and availability of IaaS toolkits has also allowed creation of cloud solutions and frameworks even suitable for private deployment and practical IaaS use on smaller scales.

This special session on Cloud Computing is intended to be a forum for the exchange of ideas and experiences on the use of Cloud Computing technologies and applications with compute and data intensive workloads. The special session also aims at presenting the challenges and opportunities offered by the development of open-source Cloud Computing solutions, as well as case studies in applications of Cloud Computing.

Authors are invited to submit original and unpublished research in the areas of Cloud Computing, Fog/Edge, Serverless and Distributed Computing. With the rapid evolution of newly emerging technologies, this session also aims to provide a forum for novel methods and case studies on the integrated use of clouds, fogs, Internet of Things (IoT) and Blockchain systems. The general venue will be a good occasion to share, learn, and discuss the latest results in these research fields. The special session program will include presentations of peer-reviewed papers.

Topics of interest include, but are not limited to:

  • Cloud Computing for scientific, compute and/or data intensive applications;
  • Virtual Machine scheduling and management algorithms;
  • Operational challenges, federative and interoperability aspects of IaaS systems;
  • Virtual machine/container image and virtual appliance storage management (e.g., caching, repositories, marketplaces);
  • Virtualization and container technologies and their effects on IaaS solutions;
  • Programming models, tools, orchestration techniques, applications, and workflows involving Cloud and IoT systems;
  • Cloud, Edge and Fog services for the Internet of Things;
  • Cloud, Edge, and Fog services for enhanced Blockchain infrastructures;
  • Performance evaluation, modelling, simulation, and prediction of integrated cloud, fog, blockchain and IoT systems;
  • Scalability issues of IoT-Fog-Cloud systems;
  • Security and Privacy aspects of data management in clouds, fogs, blockchain and IoT systems.


Programme Committee:

Recently, we are witnessing the growth of Internet-connected devices processing at an incredible pace. Devices that need to be “always-on” for accessing data and services through the network. This massive set of devices generates a lot of pressure on the computing infrastructure that is called to serve their requests. This is particularly critical when focusing on the so-called next-generation applications (NextGen), i.e., those applications characterized by stringent requirements in terms of latency, data, privacy, and network bandwidth. Such a “pressure” stimulates the evolution of classical Cloud computing platforms towards a large-scale distributed computing infrastructure of heterogeneous devices, forming a continuum from the Cloud to the Edge of the network.

This complex environment is determining a paradigm switch in the organization of computing infrastructures, moving from “mostly-centralized” to “mostly-decentralized” installments. Rather than relying on a traditional data center compute model, the notion of a compute continuum is gaining momentum, exploiting the right computational resources at optimal processing points in the system.

In the traditional cloud model, enterprise data is directed straight to the cloud for processing, where most of the heavy compute intelligence is located. But, in the transformative data-driven era we live in, this is increasingly not a viable long-term economic model due to the volume of data and a new emphasis on security, safety, privacy, latency, and reliability.

Today, data insights drive near real-time decisions directly affecting the operation of factories, cities, transportation, buildings, and homes. To cope, computing must be fast, efficient, and secure, which generally means putting more compute firepower closer to the data source. It builds the case for more on-device endpoint computing, more localized computing with a new breed of network and private edge servers, and sensible choices over which workloads need to remain in cloud data centers.

The cradle of this special session has been the focus group on the compute continuum that is part of the Italian National Laboratory on “High-Performance Computing: Key Technologies and Tools”, from which this initiative stems. Starting there, the special session aims to bring together experts from academia and industry to identify new challenges for the management of resources in cloud-edge infrastructures and promote this vision to academia and industry stakeholders.

Topics of interest include, but are not limited to:

  • (near-) real-time service management across the compute continuum application models for next-generation continuum-based applications
  • continuum services allocation and orchestration
  • trusted and federated Cloud-Fog-Edge-IoT infrastructures
  • efficient data management and interoperable systems in the compute continuum
  • Mobile Edge Computing
  • Machine Learning for energy saving, scalability and performance improvements targeting the compute continuum
  • efficient simulation of large-scale compute continuum systems
  • domain-specific semantics and languages for the Compute Continuum


Programme Committee:

The global information technology ecosystem is currently in transition to a new generation of applications, which require intensive systems of acquisition, processing, and data storage, both at the sensor and the computer level. The new scientific applications, more complex, and the increasing availability of data generated by high resolution scientific instruments in domains as diverse as climate, energy, biomedicine, etc., require the synergies between high performance computing (HPC) and large-scale data analysis (Big Data). Today, the HPC world demands Big Data world techniques, while intensive data analysis requires HPC solutions. However, the tools and cultures of HPC and Big Data have diverged because HPC has traditionally focused on strongly coupled intensive computing problems, while Big Data has been geared towards data analysis in highly scalable applications.


The overall goal of this workshop is to create a scientific discussion forum to exchange techniques and experiences to improve the integration of the HPC and Big Data paradigms, providing a convenient way to create software and adapt existing hardware and software intensive in computing and data on an HPC platform.  Thus, this workshop aims at bringing together developers of IoT/edge/Fog/HPC applications with researchers in the field of distributed IT systems. It addresses researchers who are already employing distributed infrastructure techniques in IoT applications, as well as computer scientists working on the field of distributed systems interested in bringing new developments into the Big Data convergence area. 

The workshop will provide the opportunity to assess technology roadmaps to support IoT data collection, Data Analytics, and HPC at scale, and to share users’ experiences.

A sample of the interest of our proposal is the existence in Europe of a working group for the convergence between HPC and Big Data supported by ETP4HPC and BDVA, led by Prof. María S. Pérez and with the cooperation of several research groups in this proposal. In addition, Prof. Jesús Carretero collaborates in the preparation of the strategic research agenda of the European platform ETP4HPC in the line of data-intensive applications and Dr. Rafael Mayo-García coordinates the European Energy Research Alliance (EERA) transversal Joint Programme ‘Digitalisation for energy’ where convergence research on HPC and Data Science is developed.


Target audience – why and to whom the workshop is of interest

The workshop addresses an audience with two profiles.

On the one hand, it attracts researchers who are already employing distributed infrastructure techniques to implement IoT/edge/Fog/Cloud/HPC solutions, in particular scientists who are developing data- and compute-intensive Big Data applications that include IoT data, large-scale IoT networks, and deployments, or complex analysis and machine learning pipelines to exploit the data. On the other hand, it attracts computer scientists working in the field of distributed systems interested in bringing new developments into the convergence of Big Data and HPC solutions. 


Topics of interests

Contributions are expected but not restricted to the following topics:

  • Design of architectural frameworks for the integration of HPC and Big Data environments.
  • High Performance Computing Platform for Big Data
  • Architecture modeling and simulation methodologies.
  • Processor, memory, and storage systems architecture.
  • Architecture for emerging technologies including machine learning.
  • IoT/mobile/embedded architecture
  • Exploitation of parallelism at the node level and accelerators.
  • Management and capture of massive data integrating large scale heterogeneous systems and computation in the sensors.
  • Development of global energy efficiency mechanisms at the local and global levels.
  • Energy efficient computing for Big Data
  • Use cases for capturing and modeling sensor data and for processing massive IoT data.
  • Applications in the IoT/Edge/fog ecosystem.
  • Data-driven workflows



Workshop Chairs

Katzalin Olcoz (Universidad Complutense de Madrid),

Katzalin Olcoz is an Associate Professor in the Department of Computer Architecture and System Engineering of the Complutense University of Madrid (Spain) since 2000. Within the computer architecture group of the Complutense University, she has been involved in several projects in the field of computer architecture and design automation from high-level specifications, since 1992. Her current research interests focus on high performance computing, heterogeneous computing, energy efficiency and virtualization. She is Associate Editor of IEEE Trans. on CAD and IEEE Trans. on Emerging Topics in Computing. She has been in the Program Committee of several international conferences such as ICS, PDP, ICCAD, VLSID and ISLPED. 


Jesus Carretero (University Carlos III of Madrid),

Jesus Carretero is a Full Professor of Computer Architecture and Technology at Universidad Carlos III de Madrid (Spain), since 2002.  His research activity is centered on high-performance computing systems, large-scale distributed systems and real-time systems applied to data management with application to biomedicine, image processing and COVID-19 pandemic simulation. He is currently involved in coordinating the EuroHPOC project ADMIRE. He was Action Chair of the IC1305 COST Action “Network for Sustainable Ultrascale Computing Systems (NESUS)”. He organized CCGRID 2017 in Madrid and has been General chair of HPCC 2011, MUE 2012, ISPA 2016. Currently he is applications track vice-chair in Supercomputing conference.  Prof. Carretero is a senior member of the IEEE Computer Society.

Program Committee



Workshop format

We aim at a half-day workshop. 

We plan a combination of oral presentations, short talks about related topics from the main PDP conference, and a closing panel discussion.

We plan to host about 6 talks oral presentations, 20 minutes per talk, and 10 minutes for questions and discussion. Talks selection will be based on the interest of the talk and the relation with the workshop.

In addition to the selected talks, the workshop will also feature a keynote and invited short talks from the main PDP track with the goal of extending the scope of our workshop. 

A final panel discussion will summarize the workshop and propose joint next steps to progress in Big Data–HPC convergence research in Supercomputers and large-scale distributed IT systems.

Attendance estimated is between 10 and 20 participants. 

Publicity Plan

The website will be hosted by the CABAHLA-CM project website ( 

The workshop will be advertised in an open call within the diverse networks of the workshop chairs and program committee, including local and international community networks. Advertisement includes announcements on the community’s, institution’s, personal websites, and email lists. 


This workshop proposal is a result of the work made at the CABAHLA-CM project (, a successful project that brings together four research groups, with vast experience in HPC and data-intensive systems, which has a strong national and international presence.  

This Project has been funded by the Comunidad de Madrid (Madrid Regional government) under the grant (S2018/TCS4423).



The current static usage model of HPC systems is becoming increasingly inefficient. This is driven by the continuously growing complexity and heterogeneity of system architectures, in combination with the increased usage of coupled applications, the need for strong scaling with extreme scale parallelism, and the increasing reliance on complex and dynamic workflows. As a consequence, we see a rise in research on malleable systems, middleware software and applications, which can adjust resource usage dynamically in order to extract a maximum of efficiency. 

Malleability allows systems to dynamically adjust the computation and storage needs of applications, on the one side, and the global system on the other. Such malleable systems, however, face a series of fundamental research challenges, including: who initiates changes in resource availability or usage? How is it communicated? How to compute the optimal usage? How can applications cope with dynamically changing resources? What should malleable programming models and abstractions look like? How to design resource management frameworks for malleable systems? What should be the API for applications? 

This tutorial will provide an in-depth presentation of emerging software designs to achieve malleability in high-performance computing, high-level parallel programming models, and programmability techniques to improve applications’ malleability. The main part of the tutorial will be devoted to showing and demonstrating FlexMPI, a framework for HPC malleability, and Limitless, an HPC monitoring system to get information from applications and systems and the usage of AI and ML techniques to steer malleability in systems and applications. Finally, we will show how to apply the solutions presented to two use cases: Wacom++ and Nek5000. 


1. System and system architecture considerations in designing malleable architectures.

2. Emerging software designs to achieve malleability in high-performance computing.

3. High-level parallel programming models and programmability techniques to improve applications’ malleability.

4.- FlexMPI framework for HPC malleability.

5. Limitless: Getting information from applications and systems.

6. Use of AI and ML techniques to steer malleability in systems and applications.

7. Experiences and use cases applying malleability to HPC applications: Wacom++ and Nek5000


  • FlexMPI platform.
  • LIMITLESS monitoring tool. 


3 hours 

Target audience 

  • Programmers of HPC applications 
  • HPC system administrators 
  • Researchers on HPC optimization 
  • Students interested in parallel and distributed programming 


Jesus Carretero is a Full Professor of Computer Architecture and Technology at Universidad Carlos III de Madrid (Spain), where he is responsible for that knowledge area since 2000 and leader of the Computer Architecture Research Group (ARCOS). He got a PhD in Informatics by Universidad Politécnica de Madrid in 1995. He also serves as Coordinator of the Informatics area for Agencia Española de Investigación since 2020. His research activity is centered on high-performance computing systems, large-scale distributed systems, data-intensive computing, IoT and real-time systems. He is currently coordinating the EuroHPC project ADMIRE, “Adaptive multi-tier intelligent data manager for Exascale”, aiming towards ad-hoc malleable storage systems. He was also Action Chair of the IC1305 COST Action “Network for Sustainable Ultrascale Computing Systems (NESUS)”. He has also participated in the H2020 ASPIDE project and in the FP7 program REPARA. He has participated and leaded several national and international research projects in these areas, founded by Madrid Regional Government, Spanish Education Ministry, and the European Union. He is associated editor of TPDS, ACM CS, and FGCS journals. He has been General chair of CCGRID 2017, 

IC3PP2016, or HPCC 2011, and Program Chair of ISPA 2012, EuroMPI 2013, C4Bio 2014, and ESAA 2014, and Applications track vice-chair of SC22. 


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The conference is hosted at Villa Doria d'Angri, a monumental manor part of the Università degli Studi di Napoli "Parthenope".

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Via Francesco Petrarca 80, Naples, 80123, Italy


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