Overview

This is the homepage of the Parallel Computing 1 lab taught by the Scalable Data- and Compute-intensive Analyses lab at Friedrich Schiller University Jena. Most information will be shared here. However, some data will only be shared through respective FSU channels: e-mail, Nextcloud or Moodle.

Assignments

Assignment

Due Date

Mandatory Tasks

Optional Tasks

1

20/10

1.1

1.4, 1.5, 2.1, 2.6

2

27/10

3.1, 3.3

3

03/11

4.1

4

10/11

5.3, 5.4

5

17/11

6.2, 7.1

6

25/11

7.3, 8.1

7

01/12

8.2, 9.2

8

07/12

9.3

9

15/12

10.1, 10.2

10

12/01

11 Project

11.4

11

19/01

12

26/01

13

28/01

Submission Requirements:

  1. Tasks must be completed until the specified deadline.

  2. The group size should consist of 2 to 3 members, and individual submissions are not allowed.

  3. Each group member must individually submit the exact same .tar.xz file.

  4. A report file, clearly indicating the contributions of each member in the task must be submitted.

  5. The full used or implemented source codes, scripts, commands, and documentations must be submitted.

  6. Submission has to be made via Moodle, and the file format has to be .tar.xz with the following naming convention: submission_<due_date_y_m_d>_<lastname_1>_<lastname_2>...

Hint

To create a tarball for your submission, you can use the following command as an example:

tar -cvJf submission_23_10_22_bach_schiller.tar.xz submission_23_10_22_bach_schiller

AI Pair Programmers

The usage of AI pair programmers, e.g., GitHub Copilot, is allowed under the following conditions:

  • Only use AI pair programmers for writing source code (incl. comments).

  • Do not use generative AI for writing your reports.

  • Only include the output of AI pair programmers if you understand it entirely. It is assumed that you can explain every single line of your code.

  • If AI contributed to your results: Include a brief paragraph on the used tools and techniques in your submission. Be specific, i.e., mention the names and versions of the used tools.

  • When encountering surprising behavior of the AI, document it and share it in our meetings.

Contact info

Prof. Alexander Breuer:

Max Engel:

Felix Lindner: