Low overhead alternatives to SSS*
Artificial Intelligence
A network multi-processor for experiments in parallelism
Concurrency: Practice and Experience
Network-based concurrent computing on the PVM system
Concurrency: Practice and Experience
Parallel Search of Strongly Ordered Game Trees
ACM Computing Surveys (CSUR)
The design and analysis of algorithms for asynchronous multiprocessors.
The design and analysis of algorithms for asynchronous multiprocessors.
Analysis of speedup in distributed algorithms
Analysis of speedup in distributed algorithms
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
The Enterprise Model for Developing Distributed Applications
IEEE Parallel & Distributed Technology: Systems & Technology
Parallel I/O templates for enterprise
CASCON '95 Proceedings of the 1995 conference of the Centre for Advanced Studies on Collaborative research
Obstacles to transparent heterogeneity in a distributed programming environment
CASCON '94 Proceedings of the 1994 conference of the Centre for Advanced Studies on Collaborative research
DP: a library for building portable, reliable distributed applications
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
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Selecting a distributed communication system is a balancing act. Ease of use, efficiency of the final product, and future needs are not mutually exclusive considerations. Several questions spring to mind immediately. What are the requirements of the communication system? What is available to use? What are the requirements of the user ? Software engineers desire software to have clean interfaces and to make any internal details inaccessible to the other components. Performance users want the software to be scalable, efficient, and easy to use, read, and debug. This paper examines four communication systems (ISIS, NMP, PVM, and Concert/C) from these two points of view.Several programs designed to test the performance of the communication system are used as examples for comparing features. These programs are neither definitive test programs nor do they have complicated communication structures. Rather, they are used to highlight potential problem areas and implementation differences.All four of these communication systems are being evaluated for the Enterprise project. Enterprise is a programming environment for developing and running distributed parallel programs on a network of workstations. Enterprise, using templates and a precompiler, constructs a software layer around the application. The user is shielded from the tiresome low-level details of hand crafting the distributed communication portion of the application. Other software tools within Enterprise manage and monitor the distributed program.For two of the communication systems (ISIS and NMP) the code was created using Enterprise. The other two systems (PVM and Concert/C) are compared using handcrafted code. A comparision between the Enterprise code and handcrafted code is done using NMP.