High Performance Computing for Life Sciences: Algorithms, Methodologies, and Tools
HPC4LifeS workshop of EURO-PAR 2021


Because of the COVID-19 pandemic, HPC4LifeS 2021 will be held as a virtual event. The accepted papers need to be presented by one author in order to be included in the proceedings. Only a single minimal registration fee will be requested for each paper in order to cover the organization and proceedings publication expenses. Two formats of paper presentations will be possible:

  • Streaming presentations
  • Slides and pre-recorded video presentations

Call for Papers

Advancements in Life Sciences are largely driven by the development of powerful technologies and computational tools. Applications range from drug discovery and personalized medical therapies to improved agricultural and green energy production. However, the solution of real-world problems requires a multidisciplinary approach and poses new challenges to the field of High-Performance Computing (HPC) at different levels:

  • the modeling and simulation of complex phenomena (human organ functions, evolution of diseases, sustainable energy systems, etc.);
  • the processing and analysis of massive amounts of data produced by modern technologies (omics and genome sequencing, functional and anatomical imaging, High-Content Screening, etc.);
  • the extracting, merging and understanding of information from different sources (merging different types of images, bridging imaging and omics data, etc.);
  • the storage, security, and availability of datasets (in order to gather information, compare results, reproduce the experiments, etc.).

The HPC4LifeS Workshop is oriented to explore the key role of HPC algorithms, methodologies and tools for solving problems related to different branches of Life Sciences (Biology, Biomedicine, Bioengineering, Ecology, etc.).

Topics of interest include, but are not limited to, the following:

  • * Parallel Computing for Biological Systems
  • * Parallel Simulations
  • * Parallel and Distributed Genetic Algorithms
  • * Parallel Data Mining Approaches to Life Sciences
  • * Parallel and Distributed Computing in genomic research
  • * Parallel and Distributed architecture for Bioengineering
  • * Cloud Computing for Bioengineering
  • * Machine Learning techniques for predictive algorithms
  • * Metabolic and regulatory networks
  • * Linking variety of databases

The workshops will be online on the 30th or 31st of August 2021, before the start of the main conference.

Submission Guidelines

Submissions should be in PDF format between 10-12 pages in the Springer LNCS style, including text, figures, and references. Accepted papers will be included in the workshop proceedings, published by Springer in the ARCoSS/LNCS series. Papers have to be submitted through EasyChair using the following link

Important Dates

  • Workshop papers due Jun 14, 2021
  • Author Notification June 30, 2021
  • Informal camera-ready from the authors collected from EasyChair due July 14, 2021
  • Camera ready version of paper due September 10, 2021

Special Issue

A number of high quality selected papers presented at the workshop will be invited as extended papers in a Special Issue of MDPI Algorithms Journal .


Program Committee (TBD)

  • Andrew Adamatzky, University of the West of England, Bristol, United Kingdom
  • Claudia Angelini, Institute for Applied Mathematics "Mauro Picone" of CNR, Italy
  • Mario Cannataro, Università della Magna Græcia
  • Michele Ceccarelli, Università di Napoli "Federico II", Italy
  • Salvatore Cuomo, Università di Napoli "Federico II", Italy
  • Claudia Di Napoli, Institute for High-Performance Computing and Networking of CNR, Italy
  • Elisa Francomano, Università di Palermo, Italy
  • Sébastien Limet, Université d'Orléans, France
  • Lucia Maddalena, Institute for High-Performance Computing and Networking of CNR, Italy
  • Mario Nicodemi, Università degli Studi di Napoli "Federico II", Italy
  • Domenico Talia, Università della Calabria, Italy
  • Nicola Tonellotto, University of Pisa, Italy
  • Carsten Trinitis, Technical University of Munich, German
  • Jose Carlos Valverde, University of Castilla la Mancha, Spain