Accelerator-Based Programming, 7.5 credits

Academic year 2023/2024

  • Autumn 2023, 50%, Campus

    Start date: 28 August 2023

    End date: 30 October 2023

    Application deadline: 17 April 2023

    Application code: UU-12020 Application

    Language of instruction: English

    Location: Uppsala

    Selection: Higher education credits in science and engineering (maximum 240 credits)

    Registration: 28 July 2023 – 4 September 2023

Entry requirements: 120 credits. High Performance and Parallel Computing 7.5 credits or High Performance Programming 10 credits. Proficiency in English equivalent to the Swedish upper secondary course English 6.


If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.

Application fee: SEK 900

Tuition fee, first semester: SEK 18,125

Tuition fee, total: SEK 18,125

About the course

Historically, data analysis and computing-related tasks have been executed on the CPU. With increasing data volumes, the interest in using various other computational platforms has increased. One important example of this is the use of GPUs, originally graphics processing units, for machine learning (GPU stands for Graphics Processing Unit).

Sometimes, one can get adequate or even great performance for a specific task by using an existing framework that supports an accelerator, such as a GPU. However, frequently it can be beneficial to write customised accelerator code. In this course, we review various accelerator types and compare them to traditional CPUs. We also explore the CPU/accelerator interface, and how we can program and profile performance on accelerators. Profiling is of uttermost importance in an accelerator context, since it is frequently a great challenge to actually unlock the theoretical gains in efficiency promised by the accelerators.

More information


Department of Information Technology

hus 10, Lägerhyddsvägen 1

Box 337, 751 05 UPPSALA


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