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Proofreading ConcurrentSeparationLogic
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@ -9,8 +9,8 @@ Set Implicit Arguments.
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Set Asymmetric Patterns.
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(* Let's combine the subjects of the last two lectures, to let us prove
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* correctness of concurrent programs that do dynamic management of shared
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(* Let's combine the subjects of SeparationLogic and SharedMemory, to let us
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* prove correctness of concurrent programs that do dynamic management of shared
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* memory. *)
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@ -493,7 +493,7 @@ Hint Resolve try_ptsto_first.
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(** ** The nonzero shared counter *)
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(* This program has two threads shared a numeric counter, which starts out as
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(* This program has two threads sharing a numeric counter, which starts out as
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* nonzero and remains that way, since each thread only increments the counter,
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* with the lock held to avoid race conditions. (Actually, the lock isn't
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* needed to maintain the property in this case, but it's a pleasant starting
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@ -474,7 +474,7 @@ Hint Resolve try_ptsto_first.
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(** ** The nonzero shared counter *)
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(* This program has two threads shared a numeric counter, which starts out as
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(* This program has two threads sharing a numeric counter, which starts out as
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* nonzero and remains that way, since each thread only increments the counter,
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* with the lock held to avoid race conditions. *)
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@ -3674,7 +3674,7 @@ As a result, our extracted programs achieve the asymptotic performance that we w
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\chapter{Separation Logic}
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\chapter{Separation Logic}\label{seplog}
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In our Hoare-logic examples so far, we have intentionally tread lightly when it comes to the potential aliasing\index{aliasing} of pointer variables in a program.
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Generally, we have only worked with, for instance, a single array at a time.
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@ -4355,7 +4355,7 @@ Therefore, it is natural to give an efficient formula for computing $c'$ in term
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\chapter{Introduction to Reasoning About Shared-Memory Concurrency}
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\chapter{Introduction to Reasoning About Shared-Memory Concurrency}\label{sharedmem}
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Separation logic~\index{separation logic} tames sharing of a mutable memory across libraries and data structures.
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We will need some additional techniques when we add concurrency to the mix, resulting in the \emph{shared-memory}\index{shared-memory concurrency} style of concurrency.
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@ -4730,13 +4730,13 @@ This condition effectively forces the ample set for the example program above to
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\chapter{Concurrent Separation Logic}
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The last two chapters respectively introduced techniques for reasoning about two tricky aspects of programs: heap-allocated linked data structures\index{linked data structures} and shared-memory concurrency\index{shared-memory concurrency}.
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Chapters \ref{seplog} and \ref{sharedmem} respectively introduced techniques for reasoning about two tricky aspects of programs: heap-allocated linked data structures\index{linked data structures} and shared-memory concurrency\index{shared-memory concurrency}.
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When we add concurrency to the mix for a program-reasoning problem, we are often surprised at how much more complex it becomes.
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This chapter introduces a pleasant exception to the rule, \emph{concurrent separation logic}\index{concurrent separation logic}, a rather small addition to separation logic\index{separation logic} that supports invariant-based reasoning about threads-and-locks shared-memory programs.
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\section{Object Language: Loops and Locks}
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Here's the object language we adopt, which should be old hat by now, just mixing together features of the object languages from the previous two chapters.
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Here's the object language we adopt, which should be old hat by now, just mixing together features of the object languages from Chapters \ref{seplog} and \ref{sharedmem}.
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$$\begin{array}{rrcl}
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\textrm{Commands} & c &::=& \mt{Fail} \mid \mt{Return} \; v \mid x \leftarrow c; c \mid \mt{Loop} \; i \; f \\
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