• SEMINARIO

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

    DETALLES DEL EVENTO E INSCRIPCIONES
  • 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…

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

CONFERENCE "DEEP LEARNING - A NEW COMPUTING MODEL"

Categoría
Conferencias
Fecha
19 de Septiembre de 2017 11:30 AM - 12:45 PM
Lugar de reunión
Cra 8 # 40 - 62 - Carrera 8 # 40-62, Bogotá, Colombia
Teléfono
32393300 Ext. 1311
E-mail
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Conferencista
Dr. Pedro Mario Cruz e Silva

Modern Artificial Intelligence (AI) is the 4th industrial revolution. Deep Learning (DL) is the Machine Learning (ML) technique enabling breakthroughs in several industrial, business, and scientific workflows. The new NVIDIA's Deep Learning platform is providing the computational power demanded by the recent advances in AI. The new Pascal family of GPUs was specially designed the High-Performance Computing workloads necessary to train a Deep Neural Network with a huge amount of data. The latest version of the CUDA language (version 8), and NVIDIA SDKs were improved to include specialized and highly optimized algorithm to extract GPUs full potential in DNN training and inference tasks. Large variety of training data can be efficiently used for training including text, audio, images, and video. This new computing model is delivering outstanding results in Natural Language Processing, Speech Recognition, Logistics, and Autonomous Cars and other machines.

 
 

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  • 19 de Septiembre de 2017 11:30 AM - 12:45 PM

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