• AWS CLOUD SERVICES FOR RESEARCH COMPUTING AND HPC

    Researchers are increasingly bringing their HPC workloads to the AWS cloud. In this presentation, we will visit AWS capabilities, real-world examples, and best practices, to shine a light on:
    - AWS services that make scientific computing accessible to everyone – from new HPC virtual server types to personal HPC clusters in the cloud;
    - New approaches to HPC, including serverless computing;
    - How AWS works with the research community and supports science.

    DETALLES DEL EVENTO E INSCRIPCIONES
  • WORKSHOP

    19 y 20 de Septiembre, Bogota D.C, Colombia
    La serie de talleres sobre programación paralela y de alto desempeño, ofrecidos por la universidad Distrital Francisco José de Caldas tienen como objetivo proporcionar una introducción completa y práctica a técnicas y tecnologías de programación y optimización en computación paralela basadas en estándares y marcos abiertos con el fin de utilizar totalmente las capacidades de escalamiento…

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  • SEMINARIO

    Seminario sobre optimización de aplicaciones MATLAB dentro del marco del HPC UD'17.

    DETALLES DEL EVENTO E INSCRIPCIONES
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WORKSHOP "HPC UD ‘17”

High Performance and Scientific Computing Consultant, e-architectures researcher, processing to visualization. (Multiprocessing, load balancing, Scheduling, heterogeneous and accelerated computing).

Instructor and Teacher in Numerical Analysis, Distributed Systems, Modeling and Simulation (Scientific Computing), Performance Evaluation, Systems Architecture and Scalable Architectures.

Modeling and Simulation Researcher (Scientific Computing)

Assistant Professor - Systems engineering and informatics school, Universidad Industrial de Santander.

Director - High Performance and Scientific Computing Unit, Universidad Industrial de Santander

Leader of the High Performance and Scalable Architectures of the RedCLARA Network.

Dr. Jaime H. Moreno is Distinguished Researcher, Senior Manager in the Data Centric Systems department at the IBM Thomas J. Watson Research Center in New York, where he focuses on next-generation supercomputing systems. He joined the IBM Research Division in 1992, and has led various teams on microprocessor and high-performance system architecture, design and performance analysis. He has published multiple papers and two books, holds many patents in processor architecture, and has been recognized as Master Inventor at IBM Research. His current research interests address future supercomputers and the convergence of Cognitive Computing with High-Performance Computing. Before joining IBM, he was a faculty member at the University of Concepcion, Chile. He received his Ph.D. and M.S. degrees in Computer Science from the University of California Los Angeles, and a degree in Electrical Engineering from the University of Concepcion, Chile.

Welcome to CECAD!

The CECAD (Centro de Computación de Alto Desempeño) is a laboratory created by the District University "Francisco José de Caldas"  (Universidad Distrital Francisco José de Caldas) to encourage research and knowledge transfer in areas of engineering, technology, natural sciences, social sciences and in general all divisions of the University involved in the development and strengthening of academic, institutional and national community for the growth of local, regional and national industry reflected in the well-being of the society. 

The CECAD is a Center for High Performance Computing that will boost research in all areas of science and technology that require a tool with high computing power and information storage.

The following are the objectives set for CECAD:

  • Provide computing power, storage and related high-performance computing services to research groups from the University and other affiliated ones working in large-scale projects, and in general,  provide support to scientific research and development (R&D)
  • Encourage student training in areas of science and technology related to high performance computing, in form of research or applied projects that require a center for high performance computing or access to computing equipment located in other national or international institutions connected to national or international academic networks.
  • Train users and researchers in tools, software and platforms for High Performance Computing (HPC), so that they can successfully carry out research and experimentation projects in their respective areas.
  • Promote sharing of experiences and technologies between high performance computing centers at local, regional, national and international level.

APOYAN WORKSHOP "HPC UD ‘17”

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