Introduction to Building High Performance Computing Clusters, Short Course | Stanford University - Summer Sessions | Stanford, United States
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Short On Campus

Introduction to Building High Performance Computing Clusters

2 months
Duration
1372 USD/full
1372 USD/full
1372 USD/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

With the demands of machine learning outstripping conventional computing, HPC is also at the forefront of artificial intelligence. This Introduction to Building High Performance Computing Clusters short course offered through Stanford University - Summer Sessions will discuss how HPC clusters are used in large-scale problems in academia and industry alike.

Overview

High performance computing (HPC) is a field at the forefront of a range of high tech applications such as computational fluid dynamics, image processing, and financial risk management.

Features

  • Classes consist of lectures reinforced with assignments on HPC systems located in a teaching laboratory, where discussion and collaboration will be key components of the course.
  • Students in this Introduction to Building High Performance Computing Clusters course offered through Stanford University - Summer Sessions will come away with a solid skill set in a field of computing that has broad implications for science and technology.

Programme Structure

What you will learn:

  • This course will discuss how HPC clusters are used in large-scale problems in academia and industry alike.
  • Students will learn about HPC clusters from the ground up and gain a solid foundation in parallel computer architectures, cluster operating systems, resource management, and containers.
  • They will build their own systems via remote installation of physical hardware, configuration and optimization of a high-speed network, and integration of other technologies used throughout the HPC world. 

Key information

Duration

  • Full-time
    • 2 months

Start dates & application deadlines

Language

English
TOEFL admission requirements TOEFL® IBT
100

Credits

1 SCH

Delivered

On Campus

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT
100

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Stanford University - Summer Sessions and/or in United States, please visit Student Insurance Portal.

Other requirements

General requirements

To be eligible to apply, you must:

  • Be at least 18 years of age by the start of the program.
  • Have graduated from high school or secondary school or equivalent.
  • Be a current university student or have some university or post-secondary experience.

Tuition Fee

To always see correct tuition fees
  • International

    1372 USD/full
    Tuition Fee
    Based on the tuition of 1372 USD for the full programme during 2 months.
  • National

    1372 USD/full
    Tuition Fee
    Based on the tuition of 1372 USD for the full programme during 2 months.
  • In-State

    1372 USD/full
    Tuition Fee
    Based on the tuition of 1372 USD for the full programme during 2 months.

Living costs for Stanford

1100 - 1600 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Introduction to Building High Performance Computing Clusters
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