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Ramu Arunachalam

dblp:45/1838 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › performance monitoring
hardware performance monitoring		 0.011998
Performance Measurement Using Low Perturbation and High Precision Hardware Assists · RTSS 1998

Methods — techniques the papers use, named apart from their topics

online monitoring · 0.0hardware performance counters · 0.0
YearPublicationVenuePosition
1998 Performance Measurement Using Low Perturbation and High Precision Hardware Assists
abstract
We present the design and implementation of MultiKron PCI, a hardware performance monitor that can be plugged into any computer with a free PCI bus slot. The monitor provides a series of high-resolution timers, and the ability to monitor the utilization of the PCI bus. We also demonstrate how the monitor can be integrated with online performance monitoring tools such as the Paradyn parallel performance measurement tools to improve the overhead of key timer operations by a factor of 25. In addition, we present a series of case studies using the MultiKron hardware performance monitor to measure and tune high-performance parallel completing applications. By using the monitor, we were able to find and correct a performance bug in a popular implementation of the MPI message passing library that caused some communication primitives to run at one half their potential speed.
Alan Mink, Wayne Salamon, Jeffrey K. Hollingsworth, Ramu Arunachalam
 RTSS4