SPAID: software prefetching in pointer- and call-intensive environments

Software prefetching, typically in the context of numeric- or loop-intensive benchmarks, has been proposed as one remedy for the performance bottleneck imposed on computer systems by the cost of servicing cache misses. This paper proposes a new heuristic-SPAID-for utilizing prefetch instructions in pointer- and call-intensive environments. We use trace-driven cache simulation of a number of pointer- and call-intensive benchmarks to evaluate the benefits and implementation trade-offs of SPAID. Our results indicate that a significant proportion of the cost of data cache misses can be eliminated or reduced with SPAID without unduly increasing memory traffic