Course catalog / IT & Tech / HPC Vision in the Cloud
IT & Tech

HPC Vision in theCloud.

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Örebro universitet
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HPC Vision in the Cloud is an advanced Smarter course from Örebro University on high-performance computing for computer-vision applications in cloud environments. You work with scalable architectures, parallel computing and GPU acceleration using technologies such as CUDA, Docker and Kubernetes. With tools for performance monitoring and resource optimisation, you learn to design energy-efficient, cloud-based solutions for complex vision problems. The course is given in English at distance with a few mandatory meetings on campus.

Duration: 3 months
Format: Hybrid
Location: Örebro
Language: Swedish, English
Level: Advanced

Time commitment: ca 80 timmar över en termin, deltid; distans med obligatoriska träffar

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About the course.

This certifies that the participant has developed expertise in high-performance computing (HPC) for computer vision applications in cloud environments. The participant understands scalable architectures, parallel computing, and GPU acceleration using technologies such as CUDA, Docker, and Kubernetes. Equipped with tools for performance monitoring and resource optimization, the participant can design energy-efficient, cloud-based solutions for complex vision problems that support sustainable digital innovation.

This certifies that the participant has developed expertise in high-performance computing (HPC) for computer vision applications in cloud environments. The participant understands scalable architectures, parallel computing, and GPU acceleration using technologies such as CUDA, Docker, and Kubernetes. Equipped with tools for performance monitoring and resource optimization, the participant can design energy-efficient, cloud-based solutions for complex vision problems that support sustainable digital innovation.

What you will learn

What you learn.

  • Du kan förklara principerna för högpresterande beräkningar (HPC) för datorseende.
  • Du kan utnyttja parallella beräkningar och GPU-acceleration med t.ex. CUDA.
  • Du kan bygga och köra skalbara lösningar i molnet med Docker och Kubernetes.
  • Du kan använda verktyg för prestandaövervakning och resursoptimering.
  • Du kan designa energieffektiva, molnbaserade lösningar för komplexa visionsproblem.
Curriculum

How the course is built.

  1. HPC för datorseende

    Skalbara arkitekturer och parallella beräkningar för krävande visionsuppgifter.

  2. GPU-acceleration

    Använda GPU och CUDA för att snabba upp visionsberäkningar.

  3. Molnbaserad driftsättning

    Containerisering och orkestrering med Docker och Kubernetes.

  4. Prestanda och hållbarhet

    Prestandaövervakning, resursoptimering och energieffektiva molnlösningar.

Target audience

Who is this for?

För yrkesverksamma ingenjörer och utvecklare som arbetar med datorseende eller molninfrastruktur och vill bygga skalbara, energieffektiva HPC-lösningar. Förkunskaper: 180 hp inklusive 15 hp programmering samt Engelska 5/Engelska A.

What "verified" means here

Verified credential.

When you complete the course, Örebro universitet issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.

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