Monitoring of Real Time Systems by a Separate Processor

Schrott, Gerhard; Tempelmeier, Theodor

doi:10.1016/s1474-6670(17)62599-0

Cited by 8 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some degree of uniprocessor performance measurement can be accomplished with hardware instruments such as logic analyzers and in-circuit emulators [191, but their ability to provide useful trace measurement information is limited and they are not currently applicable to multiprocessors. A number of hybrid tools have been designed recently, some of which are applicable to multiprocessor architectures [9,11,12,15,16,17,22].…”

Section: Introductionmentioning

confidence: 99%

Performance measurement of a shared-memory multiprocessor using hardware instrumentation

Mink

Nacht

[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume 1: Architecture Track

View full text Add to dashboard Cite

A hardware approach is presented for the design of performance measurement insmentation for a shared-memory, tightly coupled MIMD multiprocessor. The Resource Measurement System (REMS) is a non-intrusive, hardware measurement tool used to obtain both trace measurement and resource utilization information. This approach provides more detailed and extensive measurement information than alternative software or hybrid approaches without introducing artifacts into the test results. This is accomplished at a significantly higher tool cost than the alternative software or hybrid approaches. Certain features of todays microprocessors limit the applicability of such a hardware tool. Measurements obtained using this hardware tool on two kemel (smaU benchmark) routines are presented.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance measurement of a shared-memory multiprocessor using hardware instrumentation

Mink

Nacht

[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume 1: Architecture Track

View full text Add to dashboard Cite

show abstract

Monitoring and debugging distributed realtime programs

Dodd

Ravishankar

1992

Softw Pract Exp

View full text Add to dashboard Cite

In this paper we describe the design and implementation of an integrated monitoring and debugging system for a distributed real‐time computer system. The monitor provides continuous, transparent monitoring capabilities throughout a real‐time system's lifecycle with bounded, minimal, predictable interference by using software support. The monitor is flexible enough to observe both high‐level events that are operating system‐ and application‐specific, as well as low‐level events such as shared variable references. We present a novel approach to monitoring shared variable references that provides transparent monitoring with low overhead. The monitor is designed to support tasks such as debugging realtime applications, aiding real‐time task scheduling, and measuring system performance. Since debugging distributed real‐time applications is particularly difficult, we describe how the monitor can be used to debug distributed and parallel applications by deterministic execution replay.

show abstract

A Hardware Instrumentation Approach for Performance Measurement of a Shared-Memory Multiprocessor

Nacht

Mink

1989

Modeling Techniques and Tools for Computer Performance Evaluation

View full text Add to dashboard Cite

Monitoring of Real Time Systems by a Separate Processor

Cited by 8 publications

References 1 publication

Performance measurement of a shared-memory multiprocessor using hardware instrumentation

Performance measurement of a shared-memory multiprocessor using hardware instrumentation

Monitoring and debugging distributed realtime programs

A Hardware Instrumentation Approach for Performance Measurement of a Shared-Memory Multiprocessor

Contact Info

Product

Resources

About