PVM Overview

next up previous contents index
Next: Other Packages Up: Introduction Previous: Trends in Distributed

PVM Overview

The PVM software provides a unified framework within which parallel programs can be developed in an efficient and straightforward manner using existing hardware. PVM enables a collection of heterogeneous computer systems to be viewed as a single parallel virtual machine. PVM transparently handles all message routing, data conversion, and task scheduling across a network of incompatible computer architectures.

The PVM computing model is simple yet very general, and accommodates a wide variety of application program structures. The programming interface is deliberately straightforward, thus permitting simple program structures to be implemented in an intuitive manner. The user writes his application as a collection of cooperating tasks. Tasks access PVM resources through a library of standard interface routines. These routines allow the initiation and termination of tasks across the network as well as communication and synchronization between tasks. The PVM message-passing primitives are oriented towards heterogeneous operation, involving strongly typed constructs for buffering and transmission. Communication constructs include those for sending and receiving data structures as well as high-level primitives such as broadcast, barrier synchronization, and global sum.

PVM tasks may possess arbitrary control and dependency structures. In other words, at any point in the execution of a concurrent application, any task in existence may start or stop other tasks or add or delete computers from the virtual machine. Any process may communicate and/or synchronize with any other. Any specific control and dependency structure may be implemented under the PVM system by appropriate use of PVM constructs and host language control-flow statements.

Owing to its ubiquitous nature (specifically, the virtual machine concept) and also because of its simple but complete programming interface, the PVM system has gained widespread acceptance in the high-performance scientific computing community.