HPC for International Collaboration between Europe and Latin America

A workshop organized in conjunction with IEEE Cluster 2022

September 6, 2022, Heidelberg, Germany (in-person)

For the last three decades, international collaboration in HPC between Europe and Latin America has grown in number, size, and impact. This workshop aims to discuss how to keep the momentum and work towards sustainability by reinforcing the bridges between the HPC communities in both regions. Several projects have been developed in Latin America to build advanced computing platforms with the support of European institutions. EU co-funded projects such as EELA, EELA-2, GISELA, CHAIN, CHAIN-REDS, RISC, EUBra-BIGSEA, ENERXICO, HPC4E, or RICAP constituted comprehensive initiatives of collaboration in HPC among partners in Europe and Latin American countries and proved to play a crucial role to foster academic and industrial development. Focusing on sustainability, several ongoing activities aim to replicate the European PRACE model in Latin America, such as SCALAC and RedCLARA. This workshop is organized by the EU RISC2 and EU-LAC ResInfra projects, whose objectives are to promote the exchange of best practices through shared infrastructures and meetings and training, organized to coincide with major HPC events in Europe and Latin America. This workshop aims to exchange experiences, results, and best practices of collaboration initiatives between Europe and Latin America, in which HPC was essential. The workshop will start by presenting the results of RISC2 and ResInfra projects, focusing on the strategic partners and plans for HPC sustainability in Latin America. Then, research papers addressing projects developed by bi-regional consortia will follow, focusing on the strengths and opportunities to improve the Latin American HPC ecosystem.

Call for Papers

We encourage HPC research groups working on topics of interest to Europe and Latin America to submit their papers (even with work-in-progress, incipient results).

The topics of interest are circumscribed by the areas of the IEEE Cluster conference:

  • Application, Algorithms, and Libraries
  • Architecture, Network/Communications, and Management
  • Programming and System Software
  • Data, Storage, and Visualization

Some important dates to consider (Anywhere on Earth):

  • Submission deadline: July 10, 2022
  • Notification to authors: July 20, 2022
  • Camera-ready paper due: July 25, 2022
  • Workshop date: September 6, 2022

Submissions instructions:

  • All papers must feature original content and should not have appeared in or be under consideration for a different workshop, conference or journal
  • Papers must be written in English and should indicate all authors and affiliations.
  • All papers will be peer-reviewed using a single-blind peer-review process by at least three members of the program committee.
  • Submissions must be in PDF format and must conform to the following Xplore layout, page limit, and font size.
  • Submissions must be between 3-6 pages (excluding references).
  • Submissions must be single-spaced, 2-column numbered pages in IEEE Xplore format (8.5×11-inch paper, margins in inches – top: 0.75, bottom: 1.0, sides:0.625, and between columns:0.25, main text: 10pt)
  • LaTeX and Word Templates are available here.
  • Papers are to be submitted electronically in PDF format through EasyChair.
  • It is expected that all accepted papers will be presented at the workshop by one of the authors.
  • All accepted papers will be published in the IEEE Cluster 2022 proceedings.

Submission Link: https://easychair.org/conferences/?conf=hpceuropelatam2022


  • Esteban Meneses, National High Technology Center (CeNAT), Costa Rica
  • Fabrizio Gagliardi, Barcelona Supercomputing Centre (BSC), Spain
  • Bernd Mohr, Juelich Supercomputing Centre (JSC), Germany
  • Carlos J. Barrios H., Universidad Industrial de Santander (UIS), Colombia
  • Rafael Mayo-García, Center for Energy, Environmental and Technological Research (CIEMAT), Spain

Program Committee

  • Elvis Rojas, National University (UNA), Costa Rica
  • Antonio Tadeu Gomes, National Laboratory of Scientific Computing (LNCC), Brazil
  • Harold Castro, Los Andes University (UNIANDES), Colombia
  • Laércio Lima Pilla,  French National Centre for Scientific Research, France
  • Esteban Mocskos, University of Buenos Aires (UBA), Argentina
  • Nicolás Wolovick, National University of Cordoba (UNC), Argentina
  • Robinson Rivas, Central University of Venezuela (UCV), Venezuela
  • Eduardo Ulises Moya-Sánchez, Government of Jalisco, Mexico
  • Bruno Raffin, National Institute for Research in Digital Science and Technology (INRIA), France
  • Michel Riveill, Côte d’Azur University, France
  • Angelo Steffenel, University of Reims Champagne-Ardenne, France
  • Yves Denneulin, Grenoble Alpes University, France
  • Xavier Besseron, University of Luxembourg, Luxembourg

Keynote Speaker


Rui Oliveira


Biography:  Rui Oliveira is an associate professor at the Informatics Department of the University of Minho, where he teaches Distributed Systems in undergraduate, master and doctoral courses. He has been the director of the Computer Science and Technology Center (CCTC) from 2005 to 2010 and director of the High-Assurance Software Laboratory (HASLab), a research unit of the University of Minho and INESC TEC, from 2010 to 2015. He is a member of the Board of Directors of INESC TEC. He is the coordinator of the Minho Advanced Computing Center and National Contact Point to EuroHPC. He received his Ph.D. degree in 2000 from the École Polytechnique Fédérale de Lausanne under the supervision of André Schiper and Rachid Guerraoui. In this work, he studied the distributed consensus problem in an environment where participants could fail by crashing and then recover. His research interests are in dependable distributed systems, in particular with application to dependable distributed database systems and large scale systems. His work has been focused on epidemic communication protocols, large scale data management and high-performance transactional middleware for cloud computing and data science. Rui Oliveira has been involved in several research projects funded by the EU, FCT and national and international companies, having coordinated the FP6 GORDA, ESCADA, StrongRep, Stratus and H2020 SafeCloud projects. He currently serves on the Steering Committees of the IEEE SRDS, ACM/IFIP/USENIX Middleware and IFIP DAIS conferences, of the Atlantic International Research Center (AIR Center) and the Collaborations to Enable Transnational Cyberinfrastructure Applications (CENTRA). He is vice-chair of IFIP Working Group 6.1

Bryan Cervantes


Biography: Bryan is an active Electrical Engineering student at University of Costa Rica, member of the Pattern Recognition and Intelligent Systems Laboratory and also founder and Chair of the IEEE UCR Computer Society Student Chapter, which objective is to encourage students to get involved in programming and computing extra-curricular activities to improve their technical abilities.


Accuracy for Energy? Approximate Computing to the Rescue. A Brief Journey through the Promises and Progress of this Design Paradigm: The need for energy efficiency across the entire computing spectrum, from the Internet-of-Things to the High-Performance Computing, is motivating the emergence of newer devices, architectures, and design techniques. In the last decade, approximate computing has appeared as a design paradigm for applications that present an inherent tolerance to errors in their computations. By reducing the accuracy of the results, energy savings can be achieved in many modern applications, from image and video processing to machine learning and scientific computing. In this presentation, we will briefly walk through the fundamentals of this paradigm and we will explore some of its promises and progress achieved so far.


Parallel Computing:

We live in a parallel computer world. Literally. Think of all processors you have around, from the chip in your cell phone to the processor in your desktop computer. They all have multiple cores and possibly accelerators too. To unleash the full potential on all those devices, it is crucial to develop skills in parallel reasoning. How do you design a parallel program? What are the major concerns when running a concurrent code? We will discuss the fundamentals of parallel computing during an introductory lecture. Those principles apply throughout the broad spectrum of parallel architectures.

Shared Memory Programming:

Modern computer architectures are based on processors that have multiple cores. Thanks to chip manufacturing advances, shared-memory parallel computer systems have become relatively inexpensive and intended for general-purpose use. Being able to leverage that computing power is crucial to enhance the performance of scientific applications. In this half-day tutorial, we will explore the OpenMP application programming interface using a hands-on approach. This widely adopted standard enables the creation of shared-memory parallel programs and provides several features to maximize hardware resource utilization in modern parallel architectures.

Scientific Visualization:

Data visualization generally divides into two classes – information visualization, which addresses the visualization of large sets of discrete data (the sorts of things typically stored in relational databases or spreadsheets) and scientific visualization, which addresses continuous space filling data represented on computational grids such as results from the simulation of physical processes (think weather or climate simulation, computational fluid dynamics or finite element analysis). This tutorial will address the latter, with particular attention to Paraview and VTK, which are used to visualize data on a wide range of scales spanning desktops to supercomputers. The tutorial will consist of half a day (or more) of introductory lectures on Paraview including basic principles and use, scripting and how and (more importantly why) we move to supercomputers. 


The European project RISC2 aims to create a network to support the coordination of High-Performance Computing research between Europe and Latin America. Its main goal is exploring the real and potential impact on HPC, namely in coping with the growing environmental and scientific challenges and, therefore, in the economies of Latin America and Europe. Gathering key European HPC actors to encourage stronger cooperation between their research and industrial communities on HPC applications and infrastructure deployment. The results of the RISC2 project will promote the exchange of the best practices in HPC, in Europe and Latin America. The project also focuses on boosting Latin American HPC, promoting the interaction between researchers and policymakers in both regions and strengthening their connection, towards the definition of a coordinated policy and a concrete roadmap for the future.

ResInfra pursues the construction of a bi-regional collaboration between European Union and the LAC countries, envisaging a range of different activities that will contribute to this aim. Firstly, the project will create a map of National and Regional Research Infrastructures policies, with the objective of identifying eligible research infrastructures upon which to build this bi-regional collaboration. Additionally, the project will develop four pilot projects, building on existing European Research Infrastructures, each in an area of knowledge identified as a priority for the scientific cooperation between the EU and LAC.






The National Council of University Presidents (Consejo Nacional de Rectores, CONARE) is the new national network of Costa Rica that replaces the National Network for Advanced Research, CR2Net, which operated from 2004 to 2006 as a consortium of institutions interested in taking advantage of advanced networks.

In 2008, as part of the CLARA meeting held in Rio de Janeiro on November 27 and 28, Alejandro Cruz, General Director of the National Center for High Technology (Centro Nacional de Alta tecnología, CeNAT) from Costa Rica, CONARE dependent entity, signed the reintegration of its country to RedCLARA and ALICE under the mission to contribute in solving national problems through research and science and technology transference, with the active participation of teams of researchers and graduate students from four state universities in Costa Rica, in together with other sectors of the country, including both government and the private sector.


The Advanced Computing Laboratory (CNCA) at Costa Rica High Technology Center (CeNAT) is a multidisciplinary space where scientific discovery is accelerated through an advanced computing infrastructure. This infrastructure includes not only specialized and updated hardware, but also a set of efficient applications and well-trained staff in order to take  advantage  of  all  the  technology. This allows  CNCA  to work in the main dimensions of research, project development, training, and services provision.

The Pattern Recognition and Intelligent Systems Laboratory (PRIS-Lab) is part of the School of Electrical Engineering at UCR. We seek the generation of scientific research and technological innovation, towards integration between the academic community, the government, the productive sector, the civil society and the environment, to improve people’s quality of life. The specific interests of PRIS-Lab are mainly (but not limited to) pattern recognition, intelligent systems, machine learning, data mining, digital signal processing, digital image processing, motion capture, biocomputation, abstract data structures, algorithms and programming.