Future supercomputers will require application developers to expose much more parallelism than current applications expose. In order to assist application developers in structuring their applications such that this is possible, new programming models and libraries are emerging, the many-task runtimes, to allow for the expression of orders of magnitude more parallelism than currently existing models. This dissertation describes the challenges that these emerging many-task runtimes will place on performance analysis, and proposes deep integration between runtimes and performance tools as a means of producing correct, insightful, and actionable performance results. I show how tool-runtime integration can be used to aid programmer understanding of performance characteristics and to provide online performance feedback to the runtime for Unified Parallel C (UPC), High Performance ParalleX (HPX), Apache Spark, the Open Community Runtime, and the OpenMP runtime.

The Planguages project is the birthplace of the Planguage programmingapproach, which is designed to alleviate the task of writing parallelprograms and harness massively parallel computers and networks of workstations. Planguage has two existing translators, Parallel C (PC) and Pfortran,which is used for their base languages, C and Fortran77. The translatorswork with MPI (Message Passing Interface) for communications. SOS(ipStreams, Overlapping and Shortcutting), a function library that supportsthe three named functionalities, can be used to further optimize parallel algorithms. This project is the next step in the continuing project of updatingthe PC Compiler. The goal is to test the viability of using “shortcutting”functions. Parallel programs with the ability to shortcut can be generatedby the updated version of the PC Compiler. In addition, this project introducesthe ability of the PC Compiler to translate a race condition intoa non-deterministic solution. This document explores different phases of the project in detail. Thefollowing phases are included: software design, algorithm design, analysis,and results. The deliverables, source code, and diagrams are included asAppendices.

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