The goal of the investigation is to provide users with simplified access to computing structures through scientific solutions that represent significant developments in their fields. In the case of this project, it is intended to develop intelligent green scientific solutions for BioinfoPortal (a multiuser Brazilian infrastructure)supported by High-Performance Computing environments.

Technologically, it includes areas such as scientific workflows, data mining, machine learning, and deep learning. The outlook, in case of success, is the analysis and interpretation of Big Data allowing new paths in molecular biology, genetics, biomedicine, and health— so it becomes necessary tools capable of digesting the amount of information, efficiently, which can come.

The team performed several large-scale bioinformatics experiments that are considered to be computationally intensive. Currently, artificial intelligence is being used to generate models to analyze computational and bioinformatics metadata to understand how automatic learning can predict computational resources efficiently. The workshop was held from April 10th to 11th, and took place in the University of Sao Paulo.

RISC2 Project, which aims to explore the HPC impact in the economies of Latin America and Europe, relies on the interaction between researchers and policymakers in both regions. It also includes 16 academic partners such as the University of Buenos Aires, National Laboratory for High Performance Computing of Chile, Julich Supercomputing Centre, Barcelona Supercomputing Center (the leader of the consortium), among others.

The post Latin American researchers present greener gateways for Big Data in INRIA Brazil Workshop first appeared on RISC2 Project.

Building on the success of previous editions, the seventh installment of the Costa Rica High Performance Computing School (CRHPCS) aims at preparing students and researchers to introduce HPC tools in their workflows. A selected team of international experts taught sessions on shared-memory programming, distributed-memory programming, accelerator programming, and high performance computing.  This edition had instructors Alessandro Marani and Nitin Shukla from CINECA, which greatly helped in bringing a vibrant environment to the sessions.

Bernd Mohr, from Jülich Supercomputing Centre, was the Keynote Speaker of this year’s edition of the event.  A well-known figure in the HPC community at large, Bernd presented the talk Parallel Performance Analysis at Scale: From Single Node to one Million HPC Cores. In an amazing voyage through different architecture setups, Bernd highlighted the importance and challenges of performance analysis.

For Esteban Meneses, Costa Rica HPC School General Chair, the School is a key element in building a stronger and more connected HPC community in the region. This year, thanks to the RISC2 project, we were able to gather participants from Guatemala, El Salvador, and Colombia. Creating these ties is fundamental for later developing more complex initiatives. We aim at preparing future scientists that will develop groundbreaking computer applications that tackle the most pressing problems of our region.

More information here. 

The post Costa Rica HPC School 2023 aimed at teaching the fundamental tools and methodologies in parallel programming first appeared on RISC2 Project.

Date: May 31, 2023 | 4 p.m. (UTC+1)

The post Webinar: Addressing the challenges of scientific visualization in the exascale age first appeared on RISC2 Project.

The computer named JUPITER (short for “Joint Undertaking Pioneer for Innovative and Transformative Exascale Research”) will be installed 2023/2024 on the campus of Forschungszentrum Jülich. It is intended that the system will be operated by the Jülich Supercomputing Centre (JSC), whose supercomputers JUWELS and JURECA currently rank among the most powerful in the world. JSC has participated in the application procedure for a high-end supercomputer as a member of the Gauss Centre for Supercomputing (GCS), an association of the three German national supercomputing centres JSC in Jülich, High Performance Computing Stuttgart (HLRS), and Leibniz Computing Centre (LRZ) in Garching. The competition was organized by the European supercomputing initiative EuroHPC JU, which was formed by the European Union together with European countries and private companies. 

JUPITER is now set to become the first European supercomputer to make the leap into the exascale class. In terms of computing power, it will be more powerful that 5 million modern laptops of PCs. Just like Jülich’s current supercomputer JUWELS, JUPITER will be based on a dynamic, modular supercomputing architecture, which Forschungszentrum Jülich developed together with European and international partners in the EU’s DEEP research projects.

In a modular supercomputer, various computing modules are coupled together. This enables program parts of complex simulations to be distributed over several modules, ensuring that the various hardware properties can be optimally utilized in each case. Its modular construction also means that the system is well prepared for integrating future technologies such as quantum computing or neurotrophic modules, which emulate the neural structure of a biological brain.

Figure Modular Supercomputing Architecture: Computing and storage modules of the exascale computer in its basis configuration (blue) as well as optional modules (green) and modules for future technologies (purple) as possible extensions. 

In its basis configuration, JUPITER will have and enormously powerful booster module with highly efficient GPU-based computation accelerators. Massively parallel applications are accelerated by this booster in a similar way to a turbocharger, for example to calculate high-resolution climate models, develop new materials, simulate complex cell processes and energy systems, advanced basic research, or train next-generation, computationally intensive machine-learning algorithms.

One major challenge is the energy that is required for such large computing power. The average power is anticipated to be up to 15 megawatts. JUPITER has been designed as a “green” supercomputer and will be powered by green electricity. The envisaged warm water cooling system should help to ensure that JUPITER achieves the highest efficiency values. At the same time, the cooling technology opens up the possibility of intelligently using the waste heat  that is produced. For example, just like its predecessor system JUWELS, JUPITER will be connected to the new low-temperature network on the Forschungszentrum Jülich campus. Further potential applications for the waste heat from JUPITER are currently being investigated by Forschungszentrum Jülich.

By Jülich Supercomputing Centre (JSC)

The first image is JUWELS: Germany’s fastest supercomputer JUWELS at Forschungszentrum Jülich, which is funded in equal parts by the Federal Ministry of Education and Research (BMBF) and the Ministry of Culture and Science of the State of North Rhine-Westphalia (MKW NRW) via the Gauss Centre for Supercomputing (GCS). (Copyright: Forschungszentrum Jülich / Sascha Kreklau)

The post JUPITER Ascending – First European Exascale Supercomputer Coming to Jülich first appeared on RISC2 Project.

Our partners Carlos Barrios Hernandez (from Industrial University of Santander) and Esteban Meneses (from Costa Rica National High Technology Center) participated directly on the “Americas HPC Collaboration” session, on November 16, which aimed to showcase opportunities and experiences between different HPC networks. On this session, Philippe Navaux (from UFRGS and SCALAC) presented the RISC2 project.

It was also during the conference that RISC2 was honoured with the HPCwire Editors’ Choice Award for “Best HPC Collaboration (Academia/Government/Industry)” 2022.

The partners representing RISC2 were Fabrizio Gagliardi (from Barcelona Supercomputing Center), Rui Oliveira (from INESC TEC), Bernd Mohr (from Jülich Supercomputing Centre), Carlos Barrios Hernandez (from Industrial University of Santander), Esteban Meneses (from Costa Rica National High Technology Center), Pedro Alberto (From University of Coimbra), and Philippe Navaux (from UFRGS and SCALAC).

The post RISC2 attended the Supercomputing Conference 2022 first appeared on RISC2 Project.

Date: December 7, 2022 | 4 p.m. (UTC)

The post Webinar: HPC system and job monitoring with LLview first appeared on RISC2 Project.

Date: October 19, 2022 | 4 p.m. (UTC+1)

The post Webinar: Application Benchmarking with JUBE: Lessons Learned first appeared on RISC2 Project.

Speaker: Kenneth Hoste, Ghent University

Summary: Over a decade ago, EasyBuild was created at Ghent University to help deal with the burden of getting scientific software installed on HPC infrastructure in an efficient way, with attention to the performance of the resulting software installations.

Shortly after making EasyBuild available to the world as open source software, a helpful community started growing around it who drives and actively participates in the development of EasyBuild. EasyBuild has grown significantly over time, in terms of features and supported software, as well as the community itself.

Due to recent trends in the HPC community (increasing diversity in hardware, rise of the cloud, explosive growth of scientific software from various domains), the need for taking the next step became clear. As a result, the European Environment for Scientific Software Applications (EESSI) project was started in 2020. The main goal of EESSI is to provide a shared central stack of (optimized) scientific software installations which can easily be leveraged on a variety of platforms, including personal workstations, cloud environments, and HPC infrastructure.

Kenneth Hoste is a computer scientist and FOSS enthusiast from Belgium. He holds a Masters (2005) and PhD (2010) in Computer Science from Ghent University. His dissertation topic was “Analysis, Estimation and Optimization of Computer System Performance Using Machine Learning”. Since October 2010, he has been a member of the HPC team at Ghent University where he is mainly responsible for user support & training. As a part of his job, he is also the lead developer and release manager of EasyBuild, a software build and installation framework for (scientific) software on High Performance Computing (HPC) systems. In his free time, he is a family guy and a fan of loud music, frequently attending gigs and festivals. He enjoys helping people & sharing his expertise, and likes joking around. He has a weak spot for stickers.

Moderator: Bernd Mohr, Jülich Supercomputer Centre

Bernd Mohr started to design and develop tools for performance analysis of parallel programs already with his diploma thesis (1987) at the University of Erlangen in Germany, and continued this in his Ph.D. work (1987 to 1992).  During a three year postdoc position at the University of Oregon, he designed and implemented the original TAU performance analysis framework. Since 1996 he has been a senior scientist at Forschungszentrum Juelich. Since 2000, he has been the team leader of the group ”Programming Environments and Performance Analysis”. Besides being responsible for user support and training in regard to performance tools at the Juelich Supercomputing Centre (JSC), he is leading the Scalasca performance tools efforts in collaboration with Prof.  Felix Wolf of TU Darmstadt. Since 2007, he has also served as deputy head for the JSC division ”Application support”. He was an active member in the International Exascale Software Project (IESP/BDEC) and work package leader in the European (EESI2) and Juelich (EIC, ECL) Exascale efforts.  For the SC and ISC Conference series, he served on the Steering Committee.  He is the author of several dozen conference and journal articles about performance analysis and tuning of parallel programs.

The post Webinar: Getting Scientific Software Installed: From EasyBuild to EESSI first appeared on RISC2 Project.