Parallel computing is regarded by most computer scientists as the most
likely approach for significantly improving computing power for scientists
and engineers. Advances in programming languages and parallelizing
compilers are making parallel computers easier to use by providing
a high-level portable programming model that protects software
investment. However, experience has shown that simply finding
parallelism is not always sufficient for obtaining good performance
from today's multiprocessors. The goal of this project is to develop
advanced compiler analysis of data and computation decompositions,
thread placement, communication, synchronization, and memory system
effects needed in order to take advantage of performance-critical
elements in modern parallel architectures
