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{ try { Systemoutprintln ("Binding to local port 2000"); // Create a datagram socket, bound to the // specific port 2000 DatagramSocket socket = new DatagramSocket(2000); Systemoutprintln ("Bound to local port " + socketgetLocalPort()); // Create a datagram packet, containing a // maximum buffer of 256 bytes DatagramPacket packet = new DatagramPacket( new byte[256], 256 ); // Receive a packet - remember by default //this is a blocking operation socketreceive(packet); Systemoutprintln ("Packet received!"); // Display packet information InetAddress remote_addr = packetgetAddress(); Systemoutprintln ("Sent by : " + remote_addrgetHostAddress() ); Systemoutprintln ("Sent from: " + packetgetPort()); // Display packet contents, by reading // from byte array ByteArrayInputStream bin = new ByteArrayInputStream (packetgetData()); // Display only up to the length of the // original UDP packet for (int i=0; i < packetgetLength(); i++) { int data = binread(); if (data == -1) break; else Systemoutprint ( (char) data) ; } socketclose(); } catch (IOException ioe) { Systemerrprintln ("Error - " + ioe); } } }

In this example, adopted from Hillis and Steele [HS86], the problem is to compute the prefix sums of all the elements in a linked list in which each element contains a value x In other words, after the computation is complete, the first element will contain x0, the second will contain x0 + x1 the third x0 + x1 + x2, etc Fig 422 shows pseudocode for the basic algorithm Fig 423 shows the evolution of the computation where xi is the initial value of the (i + 1) th element in the list

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Most of the code is self-explanatory, or is similar to code snippets shown earlier However, readers may benefit from a closer examination The application starts by binding to a specific port, 2000 Applications offering a service generally bind to a specific port When acting as a receiver, your application should choose a specific port number, so that a sender can send UDP packets to this port Next, the application prepares a DatagramPacket for storing UDP packets, and creates a new buffer for storing packet data

The performance gain from this technique will depend on the correlation between the two values If there are only a few items for each userid or only a few items meeting the viewcount criteria, this technique will not be very helpful If there are many matches to both criteria but very few in common, this method should give a sizeable performance boost In the case where the composite criteria is highly selective, many more comparisons can safely be added to the query without hurting performance, since only a few items remain to be filtered You must be careful to maintain the proper field length and padding when composing a composite attribute from formatted numbers or dates

Figure 423 Steps in finding partial sums of a list Straight arrows represent links between elements; curved arrows indicate additions

// Create a datagram socket, bound to the specific port 2000 DatagramSocket socket = new DatagramSocket(2000); Systemoutprintln ("Bound to local port " + socketgetLocalPort()); // Create a datagram packet, containing a maximum buffer of 256 // bytes DatagramPacket packet = new DatagramPacket( new byte[256], 256 );

This example can be generalized by replacing addition with any associative operator and is sometime known as a prefix scan It can be used in a variety of situations, including solving various types of recurrence relations

When using the LIKE operator in a query to do wildcard matching, placement of the wildcard character can have a large impact on performance Placing the wildcard at the end, as in this example comparison, allows the index to be used when fetching results:

Now the application is ready to read a packet The read operation is blocking, so until a packet arrives, the server will wait When a packet is successfully delivered to the application, the addressing information for the packet is displayed so that it can be determined where it came from

Algorithms developed with this pattern are a type of data parallel algorithm They are widely used on SIMD platforms and to a lesser extent in languages such as High Performance Fortran [HPF97] These platforms support the fine grained concurrency required for the pattern and handle synchronization automatically because every computation step (logically if not physically) occurs in lockstep on all the processors Hillis and Steele [HS86] describe several interesting applications of this pattern, including finding the end of a linked list, computing all partial sums of a linked list, region labeling in two dimensional images, and parsing

// Receive a packet - remember by default this is a blocking // operation socketreceive(packet); // Display packet information InetAddress remote_addr = packetgetAddress(); Systemoutprintln ("Sent by : " + remote_addrgetHostAddress() ); Systemoutprintln ("Send from: " + packetgetPort());

`name` LIKE 'Will%'

To provide easy access to the contents of the UDP packet, the application uses a ByteArrayInputStream to read from the packet Reading one character at a time, the program displays the contents of the packet and then finishes Note that Unicode characters, which are represented by more than just a single byte, cannot be written out in this fashion (readers and writers would be more appropriate if internationalization support is required)

Figure 422 Pseudocode for finding partial sums of a list for all k in parallel { temp[k] = next[k]; while temp[k] != null { x[temp[k]] = x[k] + x[temp[k]]; temp[k] = temp [temp [k] ]; } }

// Display packet contents, by reading from byte array ByteArrayInputStream bin = new ByteArrayInputStream (packetgetData()); // Display only up to the length of the original UDP packet for (int i=0; i < packetgetLength(); i++) { int data = binread(); if (data == -1) break; else Systemoutprint ( (char) data) ; }

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