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authorMatt Strapp <matt@mattstrapp.net>2021-09-14 08:18:03 -0500
committerMatt Strapp <matt@mattstrapp.net>2021-09-14 08:18:03 -0500
commitb1ce60442267159a4609582920cf4c6edcdf692b (patch)
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parentMerge pull request #3 from RosstheRoss/dependabot/pip/OLD/csci4511w/colab/HW5... (diff)
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Start 5451 ass1
Signed-off-by: Matt Strapp <matt@mattstrapp.net>
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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{}
+ 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{}
+ 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{}
+ 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{}
+ Distributed is easier to scale because the cluster can have nodes added or removed easily without affecting the other nodes.
+ \section{Question 3}
+
+\end{document} \ No newline at end of file