Modern microprocessor designs continue to obtain impressive performance gains through increasing clock rates and advances in the parallelism obtained via micro-architecture design. Unfortunately, corresponding improvements in memory design technology have not been realized, resulting in latencies of over 100 cycles between processors and main memory. This ever-increasing gap in speed has pushed the current memory-hierarchy approach to its limit. Traditional approaches to memory-hierarchy management have not yielded satisfactory results. Hardware solutions require more power and energy than desired and do not scale well. Compiler solutions tend to miss too many optimization opportunities because of limited compile-time knowledge of run-time behavior. This paper explores a different approach that combines both approaches by making use of the static knowledge obtained by the compiler in the dynamic decision making of the micro-architecture. We propose a memory-hierarchy design based on w...