Application heartbeats for software performance and health

Authors:
Henry Hoffmann;Jonathan Eastep;Marco D. Santambrogio;Jason E. Miller;Anant Agarwal
Affiliations:
Massachusetts Institute of Technology, Cambridge, MA, USA;Massachusetts Institute of Technology, Cambridge, MA, USA;Massachusetts Institute of Technology, Cambridge, MA, USA;Massachusetts Institute of Technology, Cambridge, MA, USA;Massachusetts Institute of Technology, Cambridge, MA, USA
Venue:
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Year:
2010

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Abstract

Adaptive, or self-aware, computing has been proposed to help application programmers confront the growing complexity of multicore software development. However, existing approaches to adaptive systems are largely ad hoc and often do not manage to incorporate the true performance goals of the applications they are designed to support. This paper presents an enabling technology for adaptive computing systems: Application Heartbeats. The Application Heartbeats framework provides a simple, standard programming interface that applications can use to indicate their performance and system software (and hardware) can use to query an application's performance. The PARSEC benchmark suite is instrumented with Application Heartbeats to show the broad applicability of the interface and an external resource scheduler demonstrates the use of the interface by assigning cores to an application to maintain a designated performance goal.