A distributed programs monitor for Berkeley UNIX
Software—Practice & Experience
Contention is no obstacle to shared-memory multiprocessing
Communications of the ACM - Special issue on parallelism
Language Support for Loosely Coupled Distributed Programs
IEEE Transactions on Software Engineering - Special issue on distributed systems
Computer
Monitoring distributed systems
ACM Transactions on Computer Systems (TOCS)
Debugging Parallel Programs with Instant Replay
IEEE Transactions on Computers
Computing with structured connectionist networks
Communications of the ACM
Shared memory multiprocessor and sequential programming languages: a case study
Proceedings of the Twenty-First Annual Hawaii International Conference on Software Track
Structured message passing on a shared-memory multiprocessor
Proceedings of the Twenty-First Annual Hawaii International Conference on Software Track
PADD '88 Proceedings of the 1988 ACM SIGPLAN and SIGOPS workshop on Parallel and distributed debugging
Models for visualization in parallel debuggers
Proceedings of the 1989 ACM/IEEE conference on Supercomputing
Multi-model parallel programming in psyche
PPOPP '90 Proceedings of the second ACM SIGPLAN symposium on Principles & practice of parallel programming
Software and hardware parallelism on the iWarp multi-computer
ICS '91 Proceedings of the 5th international conference on Supercomputing
Delirium: an embedding coordination language
Proceedings of the 1990 ACM/IEEE conference on Supercomputing
Program Structuring for Effective Parallel Portability
IEEE Transactions on Parallel and Distributed Systems
Dynamic load balancing in MPI jobs
ISHPC'05/ALPS'06 Proceedings of the 6th international symposium on high-performance computing and 1st international conference on Advanced low power systems
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For three years, members of the Computer Science Department at the University of Rochester have used a collection of BBN Butterfly™ Parallel Processors to conduct research in parallel systems and applications. For most of that time, Rochester's 128-node machine has had the distinction of being the largest shared-memory multiprocessor in the world. In the course of our work with the Butterfly we have ported three compilers, developed five major and several minor library packages, built two different operating systems, and implemented dozens of applications. Our experience clearly demonstrates the practicality of large-scale shared-memory multiprocessors, with non-uniform memory access times. It also demonstrates that the problems inherent in programming such machines are far from adequately solved. Both locality and Amdahl's law become increasingly important with a very large number of nodes. The availability of multiple programming models is also a concern; truly general-purpose parallel computing will require the development of environments that allow programs written under different models to coexist and interact. Most important, there is a continuing need for high-quality programming tools; widespread acceptance of parallel machines will require the development of programming environments comparable to those available on sequential computers.