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Lecture-2

# Lecture-2 - CS390C Principles of Concurrency and...

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Unformatted text preview: CS390C: Principles of Concurrency and Parallelism Principles of Concurrency and Parallelism Lecture 2: Coroutines 1/12/12 1 Thursday, January 12, 12 CS390C: Principles of Concurrency and Parallelism Expressivity ● A concurrent program provides no fundamental computability advantages over a sequential program − Any computation that can be expressed using a multitape Turing machine can be expressed using a single-tape Turing machine ● Why have it, then? − Performance: parallelism − Responsiveness: ● web servers ● operating systems − Flexibility ● Algorithms, data structures, etc. − Expressivity 2 Thursday, January 12, 12 CS390C: Principles of Concurrency and Parallelism Starting Point: Control ● How do we represent or capture the notion of simultaneity? ● Example: − A generator: 3 x = 0; proc f() = { r := x; x := x + 1; return r } f(); yields 0 f(); yields 1 Thursday, January 12, 12 CS390C: Principles of Concurrency and Parallelism Generators ● Suppose instead of incrementing a counter, we returned the elements of an array ● A bit more complicated, but generation can still be expressed using updates on the array index 4 i := 0 proc f(a) = { if i < Array.length(a) then { r := A[i]; i := i + 1; return r } else raise ArrayOutofBoundsExn } Thursday, January 12, 12 CS390C: Principles of Concurrency and Parallelism Generators ● What happens if generation is not so apparent? ● Example: − Generate all the elements of a tree − How do we write a getNextTreeElt routine? ● We need to record and remember the next position in the tree for subsequent calls to the generator ● We want to keep things modular and abstract, and not expose how the tree is traversed to clients ● Want to write something like: 5 foreach node in Tree do { ... } Thursday, January 12, 12 CS390C: Principles of Concurrency and Parallelism Generators ● How do we implement foreach? − It is meant to be a generator that yields the next leaf in the tree (according to some traversal policy) every time it is invoked − Must preserve the state of the traversal internally − How should this state be kept? 6 Thursday, January 12, 12 CS390C: Principles of Concurrency and Parallelism Iterators and Coroutines ● Iterators are a special case of generators − Found in C++, Java, Python, Lua, etc....
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Lecture-2 - CS390C Principles of Concurrency and...

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