argentina - RISC2 Project https://www.risc2-project.eu Wed, 06 Sep 2023 10:46:37 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 More than 100 students participated in the HPC, Data & Architecture Week https://www.risc2-project.eu/2023/03/21/more-than-100-students-participated-in-the-hpc-data-architecture-week/ Tue, 21 Mar 2023 10:18:44 +0000 https://www.risc2-project.eu/?p=2790 RISC2 supported the ‘HPC, Data & Architecture Week’, which took place between March 13 and 17, 2023, in Buenos Aires. This initiative aimed to recover and deepen the training of human resources for the development of scientific applications and their efficient use in parallel computing environments. This event had four main courses: “Foundations of Parallel […]

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RISC2 supported the ‘HPC, Data & Architecture Week’, which took place between March 13 and 17, 2023, in Buenos Aires. This initiative aimed to recover and deepen the training of human resources for the development of scientific applications and their efficient use in parallel computing environments.

This event had four main courses: “Foundations of Parallel Programming”, “Large scale data processing and machine learning”, “New architectures and specific computing platforms”, and “Administrations techniques for large-scale computing facilities”.

More than 100 students actively participated in the event who traveled from different part of the country. 30 students received financial support to participate (traveling and living) provided by the National HPC System (SNCAD) dependent of the Argentina’s Ministry of Science.

Esteban Mocskos, one of the organizers of the event, believes “this kind of events should be organized regularly to sustain the flux of students in the area of HPC”. In his opinion, “a lot of students from Argentina get their first contact with HPC topics. As such a large country, impacting a distant region also means impacting the neighboring countries. Those students will bring their experience to other students in their places”. According to Mocskos, initiatives like the “HPC, Data & Architecture Week” spark a lot of collaborations.

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Towards a greater HPC capacity in Latin America https://www.risc2-project.eu/2023/02/24/towards-a-greater-hpc-capacity-in-latin-america/ Fri, 24 Feb 2023 15:36:39 +0000 https://www.risc2-project.eu/?p=2739 High-Performance Computing (HPC) has proven to be a strong driver for science and technology development, and is increasingly considered indispensable for most scientific disciplines. HPC is making a difference in key topics of great interest such as climate change, personalised medicine, engineering, astronomy, education, economics, industry and public policy, becoming a pillar for the development […]

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High-Performance Computing (HPC) has proven to be a strong driver for science and technology development, and is increasingly considered indispensable for most scientific disciplines. HPC is making a difference in key topics of great interest such as climate change, personalised medicine, engineering, astronomy, education, economics, industry and public policy, becoming a pillar for the development of any country, and to which the great powers are giving strategic importance and investing billions of dollars, in competition without limits where data is the new gold.

A country that does not have the computational capacity to solve its own problems will have no alternative but to try to acquire solutions provided by others. One of the most important aspects of sovereignty in the 21st century is the ability to produce mathematical models and to have the capacity to solve them. Today, the availability of computing power commensurate with one’s wealth exponentially increases a country’s capacity to produce knowledge. in the developed world, it is estimated that for every dollar invested in supercomputing, the return to society is of the order of US$ 44(1) and to the academic world US$ 30(2). For these reasons, HPC occupies an important place on the political and diplomatic agendas of developed countries. 

In Latin America, investment in HPC is very low compared to what’s the US, Asia and Europe are doing. In order to quantify this difference, we present the tables below, which show the accumulated computing capacity in the ranking of the 500 most powerful supercomputers in the world – the TOP500(3) – (Table 1), and the local reality (Table 2). Other data are also included, such as the population (in millions), the number of researchers per 1,000 inhabitants (Res/1000), the computing capacity per researcher (Gflops/Res) and the computing capacity per US$ million of GPD. In Table 1, we have grouped the countries by geographical area. America appears as the area with the highest computing capacity, essentially due to the USA, which has almost 45% of the world’s computing capacity in the TOP500. It if followed by Asia and then Europe. Tis TOP500 list includes mainly academic research centres, but also industry ones, typically those used in applied research (many private ones do not wish to publish such information for obvious reasons). For example, in Brazil – which shows good computing capacity with 88,175 TFlops – the vast majority is in the hands of the oil industry and only about 3,000 TFlops are used for basic research. Countries listed in the TOP500 invest in HPC from a few TFlops per million GDP (Belgium 5, Spain 7, Bulgaria 8), through countries investing in the order of hundreds (Italy 176, Japan 151, USA 138), to even thousands, as is the case in Finland with 1,478. For those countries where we were able to find data on the number of researchers, these range from a few Gflops per researcher (Belgium 19, Spain 24, Hungary 52) to close to 1,000 GFlops, i.e. 1 TFlop (USA 970, Italy 966), with Finland surpassing this barrier with 4,647. Note that, unlike what happens locally, countries with a certain degree of development invest every 3-4 years in supercomputing, so the data we are showing will soon be updated and there will be variations in the list. For example, this year a new supercomputer will come into operation in Spain(4), which, with an investment of some 150 million euros, will give Spain one of the most powerful supercomputers in Europe – and the world.

Country Rpeak 

(TFlops)

Population

(millions)

Res/1000 GFlops/Res Tflops/M US$
United States 3.216.124 335 9.9 969.7 138.0
Canada 71.911 39 8.8 209.5 40.0
Brazil 88.175 216 1.1 371.1  51.9
AMERICA 3.376.211 590      
           
China 1.132.071 1400     67.4
Japan 815.667 124 10.0 657.8 151.0
South Korea 128.264 52 16.6 148.6 71.3
Saudi Arabia 98.982 35     141.4
Taiwan 19.562 23     21.7
Singapore 15.785 6     52.6
Thailand 13.773 70     27.5
United Arab Emirates 12.164 10     15.2
India 12.082 1380     4.0
ASIA 2.248.353 3100      
           
Finland 443.391 6 15.9 4647.7 1478.0
Italy 370.262 59 6.5 965.5 176.3
Germany 331.231 85 10.1 385.8 78.9
France 251.166 65 11.4 339.0 83.7
Russia 101.737 145     59.8
United Kingdom 92.563 68 9.6 141.8 29.9
Netherlands 56.740 18 10.6 297.4 56.7
Switzerland 38.600 9 9.4 456.3 48.3
Sweden 32.727 10 15.8 207.1 54.5
Ireland 26.320 5 10.6 496.6 65.8
Luxembourg 18.291 0.6     365.8
Poland 17.099 38 7.6 59.2 28.5
Norway 17.031 6 13.0 218.3 34.1
Czech Republic 12.914 10 8.3 155.6 43.0
Spain 10.296 47 7.4 29.6 7.4
Slovenia 10.047 2 9.9 507.4 167.5
Austria 6.809 9 11.6 65.2 13.6
Bulgaria 5.942 6     8.5
Hungary 4.669 10 9.0 51.9 23.3
Belgium 3.094 12 13.6 19.0 5.2
EUROPA 1.850.934 610.6      
OTHER          
Australia 60.177 26     40.1
Morocco 5.014 39     50.1

Table 1. HPC availability per researcher and relative to GDP in the TOP500 countries (includes HPC in industry).

The local reality is far from this data. Table 2 shows data from Argentina, Brazil, Chile and Mexico. In Chile, the availability of computing power is 2-3 times less per researcher than in countries with less computing power in the OECD and up to 100 times less than a researcher in the US. In Chile, our investment measured in TFlops per million US$ of GDP is 166 times less than in the US; with respect to European countries that invest less in HPC it is 9 times less, and with respect to the European average (including Finland) it is 80 times less, i.e. the difference is considerable. It is clear that we need to close this gap. An investment go about 5 million dollars in HPC infrastructure in the next 5 years would close this gap by a factor of almost 20 times our computational capacity. However, returning to the example of Spain, the supercomputer it will have this year will offer 23 times more computing power than at present and, therefore, we will only maintain our relative distance. If we do not invest, the dap will increase by at least 23 times and will end up being huge. Therefore, we do not only need a one-time investment, but we need to ensure a regular investment. Some neighbouring countries are already investing significantly in supercomputing. This is the case in Argentina, where they are investing 7 million dollars (2 million for the datacenter and 5 million to buy a new supercomputer), which will increase their current capacities by almost 40 times(5).

Country Rpeak 

(TFlops)

Population (millions) Res/1000 GFlops/Res Tflops/M US$
Brazil* 3.000 216 1.1  12.6 1.8
Mexico 2.200 130 1.2 14.1 1.8
Argentina 400 45 1.2 7.4  0.8
Chile 250 20 1.3 9.6 0.8

Table 2. HPC availability per researcher and relative to GDP in the region (*only HPC capacity in academia is considered in this table).

For the above reasons, we are working to convince the Chilean authorities that we must have greater funding and, more crucially, permanent state funding in HPC. In relation to this, on July 6 we signed a collaboration agreement between 44 institutions with the support of the Ministry of Science to work on the creation of the National Supercomputing Laboratory(6). The agreement recognised that supercomputers are a critical infrastructure for Chile’s development, that it is necessary to centralise the requirements/resources at the national level, obtain permanent funding from the State and create a new institutional framework to provide governance. In an unprecedented inter-institutional collaboration in Chile, the competition for HPC resources at the national level is eliminated ad the possibility of direct funding from the State is opened up without generating controversy.

Undoubtedly, supercomputing is a fundamental pillar for the development of any country, where increasing investment provides a strategic advantage, and in Latin America we should not be left behind.

By NLHPC

 

References

(1) Hyperion Research HPC Investments Bring High Returns

(2) EESI-2 Special Study To Measure And Model How Investments In HPC Can Create Financial ROI And Scientific Innovation In Europe 

(3) https://top500.org/ 

(4) https://www.lavanguardia.com/ciencia/20230129/8713515/llega-superordenador-marenostrum-5-bsc-barcelona.html

(5) https://www.hpcwire.com/2022/12/15/argentina-announces-new-supercomputer-for-national-science/

(6) https://uchile.cl/noticias/187955/44-instituciones-crearan-el-laboratorio-nacional-de-supercomputacion

 

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ACM Summer School as a meeting point for Latin American young researchers https://www.risc2-project.eu/2022/09/16/acm-summer-school-as-a-meeting-point-for-latin-american-young-researchers/ Fri, 16 Sep 2022 12:25:45 +0000 https://www.risc2-project.eu/?p=2334 In 1962, Arthur C. Clark, a gifted man in fiction and non-fiction, said, “Any sufficiently advanced technology is indistinguishable from magic”. We are now in 2022 and, if we take Clarke’s premise, Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS) is truly making magic. The BCS-CNS hosted the ACM Summer School 2022. From 29 […]

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In 1962, Arthur C. Clark, a gifted man in fiction and non-fiction, said, “Any sufficiently advanced technology is indistinguishable from magic”. We are now in 2022 and, if we take Clarke’s premise, Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS) is truly making magic.

The BCS-CNS hosted the ACM Summer School 2022. From 29 August to 2 September 2022, students, researchers, and professors from all over the world gathered to discuss High-Performance Computing (HPC), Artificial Intelligence (AI) and Machine Learning.

The RISC2 project supported the participation of Latin American students. We had the opportunity to travel from Argentina, Brazil, Chile, Colombia, and Costa Rica to connect with leading researchers in HPC at the ACM Summer School and boost our professional careers. For some of us, it was our first time in Europe. For others, it was the first time we had the chance to visit a research centre that hosts a TOP500 supercomputer such as Mare Nostrum. We shared our latent curiosity to learn, meet, and relate to people from all over the world.

We were welcomed to the ACM School by a legend in the world of HPC, Professor Mateo Valero, director of the BSC. World-class lecturers and researchers introduced us to topics that we had only read about in scientific articles, like specialized processors for machine learning, neuromorphic engineering, technical software development for new architectures, and vector accelerators. We could delve into the state-of-the-art of many lines of study, opening our minds in countless ways. We faced new challenges and found new perspectives that would allow us to advance our research projects and complete our graduate degrees.

Throughout the week, we met colleagues from all over the world with different lines of research, projects, and fields of study. This opportunity allowed us to create new relationships, nurtured us at a cultural level, and built new ties of friendship and possible professional contributions in the future, connecting Europe with Latin America. Likewise, we strengthened relations between Latin Americans, usually separated despite being neighbours. Conversations that initially arose with academic topics ended with more trivial issues, all accompanied by a cup of coffee or even a mate brought directly from Argentina. These conversations go hand in hand with great minds and unique people.

Professors like Valerie Taylor from the Argonne National Laboratory, Charlotte Frenkel from the Delft University of Technology, Luca Benini from the Università di Bologna and ETHZ, and Jordi Torres from Universitat Politècnica de Catalunya, among many others, allowed us to be part of a world that, in many cases, is hard to reach for many students in Latin America. Thanks to the RISC2 project, we had the opportunity to be part of this process, learn and bring back to our countries the knowledge about state of the art in HPC architectural trends and a new vision of the world of computing.

At the end of an intense week of study and conversations, of new knowledge and new friends, we returned to our countries of origin. Together, we have brought a new vision of the world of computing, new contacts, and many new perspectives that we can apply in our studies and share with our colleagues in the research groups and, perhaps, start new foci of study.

Finally, we hope to return and meet again, make new friends, share the knowledge acquired and our experiences, and further deepen the ties within Latin America and between Europe and Latin America. We hope that other fellow Latin Americans will also benefit from similar opportunities and that they can live these kinds of experiences. The RISC2 project gave us a unique opportunity, so we want to thank them and all of those who made it possible.

By:

  • Claudio Aracena, University of Chile
  • Christian Asch, CeNAT, Costa Rica
  • Luis Alejandro Torres Niño, UIS, Colombia
  • Matías Mazzanti, UBA, Argentina
  • Matheus Borges Seidel, UFRJ, Brazil

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Webinar: HPC system and job monitoring with LLview https://www.risc2-project.eu/events/webinar-4-hpc-system-and-job-monitoring-with-llview/ Tue, 26 Jul 2022 12:39:25 +0000 https://www.risc2-project.eu/?post_type=mec-events&p=2245 Date: December 7, 2022 | 4 p.m. (UTC) Speakers: Vitor Silva and Filipe Guimarães, Jülich Supercomputer Centre Moderator: Esteban Mocskos, Universidad de Buenos Aires Check the speakers’ presentation slides here.  LLview is a monitoring infrastructure developed by the Jülich Supercomputing Centre with the objective to provide an easy to use and adaptable software suite for monitoring High Performance […]

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Date: December 7, 2022 | 4 p.m. (UTC)

Speakers: Vitor Silva and Filipe Guimarães, Jülich Supercomputer Centre

Moderator: Esteban Mocskos, Universidad de Buenos Aires

Check the speakers’ presentation slides here. 

LLview is a monitoring infrastructure developed by the Jülich Supercomputing Centre with the objective to provide an easy to use and adaptable software suite for monitoring High Performance Computing systems. With the emergence of large heterogeneous machines, in the range of Exascale, the challenges of monitoring such huge systems increase significantly. To address that, LLview is under continuous development in order to work for a wide range of hardware systems and software interfaces with negligible overhead and at the same time providing fast, reliable access to job reports, system-wide monitoring data, and real-time system information. That information is provided to system users, project advisors, support teams and system administrators, helping the managing of jobs, identification of performance issues at many levels and also helping the system administrators to find failures and system malfunctions. This webinar gives an overview of the different LLview components and their interaction with each other and the system. Moreover, particular attention is drawn to the system monitoring views and the job reporting features, as they allow to trace the entire life cycle of a job and can help identify problems and bottlenecks at a very early stage.

 

About the Speakers:

Vitor Silva received his Computer Science degree from Universiade Federal de Minas Gerais. His M.Sc was earned in Systems and Computer Engineering from Universidade Federal do Rio de Janeiro and later received his Ph.D from Universidade Federal de Minas Gerais, this time in Nuclear Engineering. He worked as software developer in the digital image processing field, but most of his career was in the Nuclear Engineering field, mainly working with computer modeling and solving Neutronics and Thermal-hydraulics problems related to nuclear reactors. He was also the main admin of a small cluster system installed from scratch. Since 2021 he has been working at the Jülich Supercomputing Centre with monitoring tools and simulation.

Filipe Guimarães is a computational physicist. Graduated in Physics, M.Sc in Physics and Ph.D in Physics from the Universidade Federal Fluminense. He has been working with High Performance Computing since 2014 – initially from a user’s side, but moved to the support side in 2020. Since then, one of his focuses was to improve monitoring tools used and developed at the Jülich Supercomputing Centre.

About the Moderator: Esteban Mocskos is a full-time professor at Universidad de Buenos Aires (UBA) and researcher at the Center for Computer Simulation (CSC-CONICET). He received his Ph.D. in Computer Science from UBA in 2008 and was postdoc at the Protein Modelling group at UBA. His research interests include distributed systems & blockchain, computer networks, processor architecture, and parallel programming. He is part of the steering committee of the Latin-American HPC CARLA conference and onE of the committee members of Argentina’s National HPC system.

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Webinar: Interactive High-Performance Computing with JupyterLab https://www.risc2-project.eu/events/webinar-2-interactive-high-performance-computing-with-jupyterlab/ Tue, 26 Jul 2022 12:31:35 +0000 https://www.risc2-project.eu/?post_type=mec-events&p=2241 Date: September 22, 2022 | 4 p.m. (UTC+1) Speaker: Jens Henrik Göbbert, JSC Moderator: Esteban Mocskos, Universidad de Buenos Aires Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software Jupyter or JupyterLab, a way has been available for […]

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Date: September 22, 2022 | 4 p.m. (UTC+1)

Speaker: Jens Henrik Göbbert, JSC

Moderator: Esteban Mocskos, Universidad de Buenos Aires

Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software Jupyter or JupyterLab, a way has been available for some time now that combines interactive with reproducible computing while at the same time meeting the challenges of support for the wide range of different software workflows.

Even on supercomputers, the method enables the creation of documents that combine live code with narrative text, mathematical equations, visualizations, interactive controls, and other extensive output. However, a number of challenges must be mastered in order to make existing workflows ready for interactive high-performance computing. With so many possibilities, it’s easy to lose sight of the big picture. This webinar provides a compact introduction to high performance interactive computing.

Speaker’s presentation is available here.

About the Speaker: Jens Henrik Göbbert graduated in mechanical engineering in 2006 and worked until 2014 as a research assistant at the Institute for Technical Combustion in the area of turbulence modelling and high performance computing. He joined the cross-sectional group “Immersive Visualization” of the Jülich Aachen Research Alliance (part of the Virtual Reality Group of the IT Center at the RWTH Aachen University) and became part of the cross-sectional team “Visualization” of the Jülich Supercomputing Center at the FZJ in 2016 as an expert in visualization of large scientific data sets, in situ visualization & coupling and interactive supercomputing.

About the Moderator: Esteban Mocskos is a full-time professor at Universidad de Buenos Aires (UBA) and researcher at the Center for Computer Simulation (CSC-CONICET). He received his Ph.D. in Computer Science from UBA in 2008 and was postdoc at the Protein Modelling group at UBA. His research interests include distributed systems & blockchain, computer networks, processor architecture, and parallel programming. He is part of the steering committee of the Latin-American HPC CARLA conference and one of the committee members of Argentina’s National HPC system.

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CECAR https://www.risc2-project.eu/2022/04/21/cecar/ Thu, 21 Apr 2022 14:10:41 +0000 https://www.risc2-project.eu/?p=1837 Title: CECAR System name: CECAR Web Site location: FCEyN, UBA, CABA Country: Argentina Processor architecture: 30*(2*Opteron 6320 + 64 GiB + IB QDR) + 8*(2*Xeon E5-2620v4 + 64 GiB) 24*K20c Rpeak_cpu 16.128 TFLOPS, Total cores 640. Peak performance:  Rpeak_all 44.208  TFlops Access policy

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  • Title: CECAR
  • System name: CECAR
  • Web
  • Site location: FCEyN, UBA, CABA
  • Country: Argentina
  • Processor architecture:
    • 30*(2*Opteron 6320 + 64 GiB + IB QDR) + 8*(2*Xeon E5-2620v4 + 64 GiB) 24*K20c Rpeak_cpu 16.128 TFLOPS, Total cores 640.
  • Peak performance: 
    • Rpeak_all 44.208  TFlops
  • Access policy
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    TUPAC https://www.risc2-project.eu/2022/04/21/tupac/ Thu, 21 Apr 2022 14:06:28 +0000 https://www.risc2-project.eu/?p=1835 Title: TUPAC System name: TUPAC Web Site location: CSC-CONICET, Buenos Aires Country: Argentina Processor architecture: 58*(4*Opteron 6276 + 128 GiB + IB QDR). 32*M2090. Rpeak_cpu 33.1 TFLOPS, Total cores 3712 Peak performance:  Rpeak_all 54.418  TFlops Access policy

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  • Title: TUPAC
  • System name: TUPAC
  • Web
  • Site location: CSC-CONICET, Buenos Aires
  • Country: Argentina
  • Processor architecture:
    • 58*(4*Opteron 6276 + 128 GiB + IB QDR). 32*M2090.
      Rpeak_cpu 33.1 TFLOPS, Total cores 3712
  • Peak performance: 
    • Rpeak_all 54.418  TFlops
  • Access policy
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    Coyote https://www.risc2-project.eu/2022/04/21/coyote/ Thu, 21 Apr 2022 14:02:29 +0000 https://www.risc2-project.eu/?p=1833 Title: Coyote System name: Coyote Web Site location: CIMEC, Santa Fe Country: Argentina Processor architecture: .6*(2*E5420 + 16GB) + 17*(W3690 + 16 GB) + 9*(E5-1660 + 16 GB). 2*C1060 + 2*GTX 580 + C2050. Rpeak_cpu 3.316 TFLOPS, Total cores 204. Peak performance:  Rpeak_all 5.568 TFlops Access policy

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  • Title: Coyote
  • System name: Coyote
  • Web
  • Site location: CIMEC, Santa Fe
  • Country: Argentina
  • Processor architecture:
    • .6*(2*E5420 + 16GB) + 17*(W3690 + 16 GB) + 9*(E5-1660 + 16 GB). 2*C1060 + 2*GTX 580 + C2050. Rpeak_cpu 3.316 TFLOPS, Total cores 204.
  • Peak performance: 
    • Rpeak_all 5.568 TFlops
  • Access policy
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    Seshat https://www.risc2-project.eu/2022/04/21/seshat/ Thu, 21 Apr 2022 13:41:53 +0000 https://www.risc2-project.eu/?p=1830 Title: Seshat System name: Seshat Web Site location: CIMEC, Santa Fe Country: Argentina Processor architecture: :69*(E5-1620v2 +15 GiB+ IB QSR). Total cores 276. Peak performance:  Rpeak 8.196 TFlops rMAX 6.927 TFlops Access policy

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  • Title: Seshat
  • System name: Seshat
  • Web
  • Site location: CIMEC, Santa Fe
  • Country: Argentina
  • Processor architecture:
    • :69*(E5-1620v2 +15 GiB+ IB QSR). Total cores 276.
  • Peak performance: 
    • Rpeak 8.196 TFlops
    • rMAX 6.927 TFlops
  • Access policy
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    Pirayú https://www.risc2-project.eu/2022/04/21/mulatona-2/ Thu, 21 Apr 2022 13:36:45 +0000 https://www.risc2-project.eu/?p=1824 Title: Pirayú System name: Pirayú Web Site location: CIMEC, Santa Fe Country: Argentina Processor architecture: 5*(2*E5-2650v4 + 128 GiB + IB FDR) + 30*(2*E5-2650v3 + 128 GiB + IB FDR) + 5*K40 + 1*7120P. Total cores 720. Peak performance:  R_peak 26.304 TFlops CPU 7.15 TFlops GPU 1.20 TFlops Access policy

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  • Title: Pirayú
  • System name: Pirayú
  • Web
  • Site location: CIMEC, Santa Fe
  • Country: Argentina
  • Processor architecture:
    • 5*(2*E5-2650v4 + 128 GiB + IB FDR) + 30*(2*E5-2650v3 + 128 GiB + IB FDR) + 5*K40 + 1*7120P. Total cores 720.
  • Peak performance: 
    • R_peak 26.304 TFlops CPU
    • 7.15 TFlops GPU
    • 1.20 TFlops
  • Access policy

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