<span class="var-sub_title">A Compiler and Profiler Based Tool for Querying HPC Application Characteristics</span> SC18 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

5th International Workshop on HPC User Support Tools: HUST-18


A Compiler and Profiler Based Tool for Querying HPC Application Characteristics

Authors: Aaron Welch (Oak Ridge National Laboratory)

Abstract: Emerging HPC platforms are becoming extraordinarily difficult to program as a result of complex, deep and heterogeneous memory hierarchies, heterogeneous cores, and the need to divide work and data among them. New programming models and libraries are being developed to aid in porting efforts of application developers, but substantial code restructuring is still necessary to fully make use of these new technologies. To do this effectively, these developers need information about their source code characteristics, including static and dynamic (e.g. performance) information to direct their optimisation efforts and make key decisions. On the other hand, system administrators need to understand how users are using the software stack and resources on their systems to understand what software they need to provide to improve the productivity of the users on a platform.

In this presentation, we describe a tool that combines compiler and profiler information to query performance characteristics within an application or across multiple applications on a given platform. Static and dynamic data about applications are collected and stored together in an SQL database that can be queried by either a developer or a system administrator. We will demonstrate the capabilities of this tool via a real-world example from application-driven case studies that aims at understanding the use of scientific libraries on a routine from the molecular simulation application CP2K.





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