
262 CHAPTER 4 Workload-Driven Evaluation
4.5 CONCLUDING REMARKS
We now have a good understanding of the major issues in workload-driven evalua-
tion for multiprocessors: choosing workloads, scaling problems and machines, deal-
ing with the large parameter space, and choosing metrics. For each issue, we have a
set of guidelines and steps to follow, an understanding of how to avoid pitfalls, and a
means to understand the limitations of investigations. We also have a basis for our
own quantitative illustration of architectural trade-offs in the rest of the book. The
experiments in the book illustrate important points rather than evaluate trade-off ...