Parallel and distributed computing are becoming increasingly
important as cost-effective ways to achieve high
computational performance. Symbolic computations are notable
for their use of irregular data structures and hence
parallel symbolic computing has its own distinctive set of
technical challenges.
The papers in this book are based on presentations made at a
workshop at MIT in October 1992. They present results in a
wide range of areas including: speculative computation,
scheduling techniques, program development tools and
environments, programming languages and systems, models of
concurrency and distribution, parallel computer
architecture, and symbolic applications.