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Figure 12-4 shows a diagrammatic representation of three hardware circuits: a half adder, a full adder, and a 2-bit carry ripple adder. The first of these has two input wires, x and y, and sets the sum wire high if exactly one of these is high. If both x and y are high, then the sum is low, and the carry wire is high instead. Thus, the circuit computes the 2-bit sum of the inputs. Likewise, a full adder computes the sum of three Boolean inputs, which, because it s at most three, can still be represented by 2 bits. A 2-bit carry ripple adder is formed by composing a half adder and a full adder together, wiring the carry from the first adder to one of the inputs of the second adder. The overall circuit has four inputs and three outputs.

"; let tasks = [ for i in 1 . numImages -> ProcessImageAsync(i) ] AsyncRun (AsyncParallel tasks) |> ignore printfn "ProcessImagesAsync finished!"; On the one of our machines, the asynchronous version of the code ran up to three times as fast as the synchronous version (in total elapsed time), when processImageRepeats is 20 and numImages is 200 A factor of 2 was achieved consistently for any number of processImageRepeats since this machine had two CPUs Let s take a closer look at this code The call AsyncRun (AsyncParallel ..) executes a set of asynchronous operations in the thread pool, collects their results (or their exceptions), and returns the overall array of results to the original code The core asynchronous workflow is introduced by the async { .. } construct Let s look at the inner workflow line by line: async { use inStream = FileOpenRead(sprintf "Image%d.

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Query OK, 0 rows affected (0.02 sec)

Figure 12-4. Three simple hardware circuits The following code models these circuit components. This uses relational modeling, where each circuit is modeled not as a function but as a propositional logic predicate that relates its input wires to its output wires: let sumBit x y = (x ^^^ y) let carryBit x y = (x &&& y) let halfAdder x y sum carry = (sum === sumBit x y) &&& (carry === carryBit x y) let fullAdder x y z sum carry = let xy = (sumBit x y) (sum === sumBit xy z) &&& (carry === (carryBit x y ||| carryBit xy z)) let twoBitAdder (x1,x2) (y1,y2) (sum1,sum2) carryInner carry = halfAdder x1 y1 sum1 carryInner &&& fullAdder x2 y2 carryInner sum2 carry Note the close relation between the diagram for the 2-bit adder and its representation as code. You can read the implementation as a specification of the diagram, and vice versa. But the types of these functions are a little less informative: val val val val val sumBit : Prop -> Prop -> Prop carryBit : Prop -> Prop -> Prop halfAdder : Prop -> Prop -> Prop -> Prop -> Prop fullAdder : Prop -> Prop -> Prop -> Prop -> Prop -> Prop twoBitAdder : Prop * Prop -> Prop * Prop -> Prop * Prop -> Prop -> Prop -> Prop

tmp" i) .. } This line opened the input stream synchronously using FileOpenRead Although this is a synchronous operation, the use of use indicates that the lifetime of the stream is managed over the remainder of the workflow The stream will be closed when the variable is no longer in scope,.

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In practice, circuits are defined largely with respect to vectors of wires, not just individual wires. You can model these using arrays of propositions; and because it s now clear that you re modeling bits via propositions, you make an appropriate type abbreviation for them as well:

that is, at the end of the workflow, even if asynchronous activations occur in between If any step in the workflow raises an uncaught exception, then the stream will also be closed while handling the exception The next line reads the input stream asynchronously using inStreamReadAsync: async { use inStream = FileOpenRead(sprintf "Image%dtmp" i) let! pixels = inStreamReadAsync(numPixels) .. } StreamReadAsync is an extension method added to the NET SystemIOStream class by opening the F# namespace MicrosoftFSharpControlCommonExtensions, and it generates a value of type Async<byte[]> The use of let! executes this operation asynchronously and registers a callback When the callback is invoked, the value pixels is bound to the result of the operation, and the remainder of the asynchronous workflow is executed The next line transforms the image synchronously using TransformImage: async { use inStream = FileOpenRead(sprintf "Image%d.

Query OK, 1 row affected (0.00 sec)

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