| Shrnutí: | <p>This thesis introduces the Progressive Messages model of communication. It is an event-driven framework for building scalable parallel and distributed computing applications on modern networks. In particular, the paradigm provides notification of message termination. That is, when a message succeeds or fails, the user’s application can capture an event (often through a callback) and perform a designated action.</p> <p>The semantics of the Progressive Messages model are defined as an extension to the message-driven model, which is like an asynchronous RPC. Together, these models can be contrasted to the message-passing model (the basis of Sockets and MPI), which has no event notification.</p> <p>Using Progressive Messages allows for a more scalable design than permitted by either the message-passing or message-driven model. In particular, Progressive Messages can handle communication concurrently with computation, which means that one process does not need to wait in order to service a request or response from another process. This overlap leads to more efficiency.</p> <p>As part of the study of Progressive Messages, we create the MATE (Message Alerts Through Events) library, which is a prototype API that supports event notification in communication. This API was implemented in both MPI and InfiniBand <em>verbs</em> (OpenFabrics). "Unit tests" of network metrics shows that there is some latency in event-driven message handling, though it is difficult to determine if the source of the latency is hardware or software based.</p> <p>The goal of the Progressive Messages model is that parallel and distributed computing applications will be easier to build and will be more scalable.</p>
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