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MPI_Barrier A barrier defines a synchronization point at which all processes must arrive before any of them are allowed to proceed For MPI, this means that every process using the indicated communicator must call the barrier function before any of them proceed This function is described in detail in the Implementation Mechanisms design space MPI_Bcast A broadcast sends a message from one process to all the processes in a group MPI_Reduce A reduction operation takes a set of values (in the buffer pointed to by inbuff) spread out around a process group and combines them using the indicated binary operation To be meaningful, the operation in question must be associative The most common examples for the binary function are summation and finding the maximum or minimum of a set of values Notice that the final reduced value (in the buffer pointed to by outbuff) is only available in the indicated destination process If the value is needed by all processes, there is a variant of this routine called MPI_All_reduce() Reductions are described in detail in the Implementation Mechanisms design space

Interfaces can have variables, as well as providing member variables While you can write accessor functions to obtain the value of a variable and/or modify it, an easier alternative is to define an attribute Attributes may be mutable or immutable to the remote client through the readonly keyword Remember, however, that if you make an attribute mutable instead of hiding it through a set of accessor functions, you lose control over how modifications are made The following is an example of an attribute, in contrast to our first interface example, which defined accessor functions:

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The syntax of these functions is defined in Fig B5 In Figs B6 and B7 we present a program that uses these three functions In this program, we wish to time a function that passes a message around a ring of processes The code for the ring communication function is not relevant for this discussion, but for completeness, we provide it in Fig B8 The runtime for any parallel program is the time taken by the slowest process So we need to find the time consumed in each process and then find the maximum across all the processes The time is measured using the standard MPI timing function:

require_once('tarzanclassphp'); require_once('configincphp');

interface UserAccount { // balance is not protected, and can be easily changed attribute float balance; // account id may be read but not remotely modified readonly attribute long long accountid; };

double MPI_Wtime();

While attributes have their uses, the most important part of an IDL schema will be the operations that are defined These operations may be invoked remotely, and can perform both simple and complex tasks, limited only by the imagination Operations are functions that can return a value upon completion and can accept parameters There are three types of parameters that may be specified for an IDL operation: 1 in parameter used for input only, and is immutable 2 out parameter whose contents may be modified, and is not immutable 3 inout parameter that combines the properties of in and out Such parameters may be used as input and may also be modified A cleaner implementation will result when you use input parameters only, and a single return value However, sometimes it may be necessary to use the other modifiers; readers are advised to use discretion The following interface shows three simple operations, two of which accept an input parameter Each operation also specified a return value (in this case, of type float)

The first line pulls in Tarzan, and the second line brings in your AWS credentials Tarzan will automatically look for your credentials in the predefined constants: AWS_KEY and AWS_SECRET_KEYYou can set them in your configincphp file like this:

interface UserBalance { float getBalance(); float addBalance(in float amount); float subtractBalance(in float amount); };

Figure B6 Program to time the ring function as it passes messages around a ring of processes (continued in Fig B7) The program returns the time from the process that takes the longest elapsed time to complete the communication The code to the ring function is not relevant for this example, but it is included in Fig B8

define('AWS_KEY', '<access-key-id>'); define('AWS_SECRET_KEY', '<secret-access-key>');

Note that if a method does not have a return value, just as in Java you should specify this by using the void keyword

// // Ring communication test // Command-line arguments define the size of the message // and the number of times it is shifted around the ring: // // aout msg_size num_shifts // #include "mpih" #include <stdioh> #include <memoryh> int main(int argc, char **argv) { int num_shifts = 0; // number of times to shift the message int buff_count = 0; // number of doubles in the message int num_procs = 0; // number of processes in the ring int ID; // process (or node) id int buff_size_bytes; // message size in bytes int i; double double double double double t0; // wall-clock time in seconds ring_time; // ring comm time - this process max_time; // ring comm time - max time for all processes *x; // the outgoing message *incoming; // the incoming message

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