15–16 Sept 2022
Europe/Bucharest timezone

Session

Session 3A - Grid, Cloud & High Performance Computing

16 Sept 2022, 14:00

Conveners

Session 3A - Grid, Cloud & High Performance Computing

  • Adrian ISTRATE (Agency ARNIEC/RoEduNet, “Dunărea de Jos” University of Galati)

Description

Online participation available here

https://acecloud.webex.com/acecloud/j.php?MTID=m6057b088a862ba1c89de732d89acd085

Presentation materials

There are no materials yet.

  1. Mr Catalin Patrascu (University Politehnica of Bucharest)
    16/09/2022, 14:00
    Grid, Cloud & High Performance Computing in Science
    Paper presentation

    Real-time stream processing is becoming more prevalent today due to huge chunks of data needing to be processed upon arrival. In video streaming the need for real-time management is also extremely important because video frames come at high frequency. AI advances have made it possible to understand video feeds at a high level in real time, making them a valuable source of information on human...

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  2. Mr Nicolae Tarbă (University Politehnica of Bucharest)
    16/09/2022, 14:20
    Grid, Cloud & High Performance Computing in Science
    Paper presentation

    The field of Optical Character Recognition (OCR) consists of techniques that are mainly focused on document image analysis. Aside from generating significant speedups of everyday procedures, OCR has a considerable role in the preservation of historical sources of information. Most of the World War 2 (WW2) documents are of great importance, especially with applications in virtual archives,...

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  3. Maria-Elena Mihailescu (University Politehnica of Bucharest)
    16/09/2022, 14:40
    Grid, Cloud & High Performance Computing in Science
    Paper presentation

    When managing a cluster or grid infrastructure, a system administrator uses live migration to move virtual machines that provide certain services from one host to another. The migration process should be fast and should not affect the service.
    For bhyve, FreeBSD's hypervisor, we have added a live migration support. This paper presents the improvements we have added to the live migration...

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  4. Mr Nicolae Tarbă (University Politehnica of Bucharest)
    16/09/2022, 15:00
    Grid, Cloud & High Performance Computing in Science
    Paper presentation

    Facial landmark detection (FLD) is a field of study in computer vision that specializes in detecting and tracking key points from human faces. There are many applications, such as detecting a human’s head pose (position and rotation), tracking whether drivers are paying attention or not, applying augmented reality, etc. Common problems for FLD algorithms include occlusion and pose variation....

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