The increasing complexity of parallel computing systems has brought about a crisis in parallel performance evaluation and tuning. Although there have been important advances in performance tools in recent years, we believe that future parallel performance environments will move beyond these tools by integrating performance instrumentation with compilers for architecture-independent languages, by formalizing the relationship between performance views and the data they represent, and by automating some aspects of performance interpretation. This paper describes these directions from the perspective of research projects that have been recently undertaken.