Preamble for PIM chapter

src/chapters/pim.tex

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 \section{Processing-in-Memory}
 \label{sec:pim}
 
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+In the conventional von Neumann architecture, compute is completely separated from memory.
+Memory-intensive workloads operate on a large data set, have poor spatial and temporal locality, and low operational density.
+As a consequence, the data movement between the memory and compute forms the so-called von Neumann bottleneck \cite{zou2021}.
+In the past, this bottleneck was hidden using latency hiding techniques such as out-of-order execution, branch prediction, and multiple layers of cache \cite{radojkovic2021}.
+However, new memory-intensive applications, including \acp{dnn}, have led researchers to reconsider \ac{pim} as a new approach to meet future processing demands.
+First proposals for \ac{pim} date back to the 1970s, were hindered by the limitations of existing memory systems, but are now experiencing a renaissance \cite{radojkovic2021,ghose2019a}.
+
+In the following, the workloads suitable for \ac{pim} will be discussed in more detail, followed by an overview of the different types of \ac{pim} implementations.
+Finally, a number of concrete examples are presented.
 
 \subsection{Applicable Workloads}
 \label{sec:pim_workloads}