added assigment and explanation

.gitignore

@@ -23,7 +23,7 @@
 # *.pdf
 
 ## Generated if empty string is given at "Please type another file name for output:"
-.pdf
+*.pdf
 
 ## Bibliography auxiliary files (bibtex/biblatex/biber):
 *.bbl
@@ -117,7 +117,7 @@ acs-*.bib
 *.sls
 
 # uncomment this for glossaries-extra (will ignore makeindex's style files!)
-# *.ist
+*.ist
 
 # gnuplot
 *.gnuplot

Homework_Lesson_13.tex

@@ -0,0 +1,75 @@
+\documentclass[a4paper, 12pt, english]{article}
+
+\usepackage[
+    headsep = 25pt
+]{geometry}
+
+\usepackage[utf8]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage{listings}
+\usepackage{xcolor}
+\usepackage{hyperref}
+\usepackage{multicol}
+\usepackage{setspace}
+\usepackage{graphicx}
+%\usepackage[acronym]{glossaries-extra}
+
+\usepackage{enumitem}
+\setlist{nosep}
+
+
+\title{Advanced Operating Systems\\Assignment Week 11}
+\author{Paul Lödige \\ Student ID: 37-229753}
+
+\makeatletter
+\newcommand*{\toccontents}{\@starttoc{toc}}
+\makeatother
+
+% acronyms
+%\makeglossaries
+
+\begin{document}
+\maketitle
+%\toccontents
+
+%\printglossaries
+
+\section{Assignment}%
+\label{sec:Assignment}
+Explain within 400 words the problem of using GPUs in Linux-based real-time systems.
+%\clearpage
+
+\section{Explanation}%
+\label{sec:Explanation}
+One of the main challenges in using GPUs in real-time systems 
+is the lack of predictability in the scheduling of GPU tasks. 
+In a typical Linux-based operating system, 
+the scheduler is designed to prioritize tasks based on a number of factors, 
+such as priority levels and resource requirements. 
+However, this can lead to unpredictable delays and jitter in the execution of GPU tasks, 
+which can be problematic for real-time systems that require deterministic behaviour.
+
+Another issue with using GPUs in real-time systems 
+is the difficulty in ensuring determinism and reproducibility of results. 
+Due to the parallel nature of GPU processing, 
+it can be difficult to predict the exact order in which tasks will be executed, 
+which can lead to variations in the results of computations. 
+Additionally, the use of GPU-specific libraries and APIs can introduce further complexity 
+and make it difficult to guarantee that results will be consistent across different systems.
+This problem is amplified by the fact that many GPU drivers for Linux are closed-source and proprietary, 
+which can make it difficult to customize or optimize the GPU for a specific real-time application. 
+While the availability of Open Source drivers has improved, 
+a lot of the GPU drivers for Linux are not designed for real-time use 
+and can introduce additional jitter and variability in the response times of the system.
+
+There are also additional technical challenges associated with using GPUs in real-time systems. 
+For example, 
+the use of GPU memory can be difficult to manage in real-time systems, 
+and it can be challenging to ensure that data is transferred between the CPU and GPU in a timely and efficient manner. 
+
+In summary, the use of GPUs in Linux-based real-time systems can present several challenges, 
+including issues with scheduling and latency, 
+as well as difficulties in ensuring determinism and reproducibility of results.
+
+
+\end{document}

README.md

@@ -1,2 +1,3 @@
 # Homework_Lesson_13
-
+## Assignment
+Explain within 400 words the problem of using GPUs in Linux-based real-time systems.