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\documentclass[12pt]{article}
\usepackage{fullpage}\usepackage{indentfirst}
\begin{document}
\section{Question 1}
\subsection{Overlapping Intervals}
\subsection{Non-Overlapping Intervals}
\section{Question 2}
\subsection*{A}
Shared memory has all of the processors access one large pool of memory while distributed memory has each processor have a section of the memory.
\subsection*{B}
Distributed memory programs communicate via pipes and message queues while shared memory programs share memory with locks in place to prevent unintended behavior and race conditions.
\subsection*{C}
Shared memory is in most devices nowadays with even phones having multiple cores and a single bank of shared memory. Large rendering farms and HPC will have distributed memory to split rendering or to maximize performance.
\subsection*{D}
Distributed is easier to scale because the cluster can have nodes added or removed easily without affecting the other nodes.
\section{Question 3}
\subsection*{A}
Concurrency: 8\\
Critical path length: 4\\
Maximum achievable speedup: \(15/4\) \\
Minimum number of processes needed: 8\\
Maximum achievable speedup if the number of processes is limited to: \\
2- \(15/8\)\\
4- \(15/5\)\\
8- \(15/4\)\\
\subsection*{B}
Concurrency: 8\\
Critical path length: \\
Maximum achievable speedup: \\
Minimum number of processes needed: \\
Maximum achievable speedup if the number of processes is limited to: \\
2- \(15/8\)\\
4- \(15/5\)\\
8- \(15/4\)\\
\subsection*{C}
Concurrency: 8\\
Critical path length: 7\\
Maximum achievable speedup: \(14/7\)\\
Minimum number of processes needed: \\
Maximum achievable speedup if the number of processes is limited to: \\
2- \(14/10\)\\
4- \(14/8\)\\
8- \(14/7\)\\
\subsection*{D}
Concurrency: 2\\
Critical path length: 8\\
Maximum achievable speedup: \(15/8\)\\
Minimum number of processes needed: 2\\
Maximum achievable speedup if the number of processes is limited to: \\
2- \(15/8\)\\
4- \(15/8\)\\
8- \(15/8\)\\
\section{Question 4}
\subsection*{A}
\end{document}
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