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Farid Parpia

dblp:12/2279 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Systems, architecture and hardware · 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 · 50% High-performance computing · 38% Parallel and multicore computing · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
performance analysis tools
0.012000
From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems · SC 2000
High-performance computing
performance optimization at scale
0.012000
From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems · SC 2000
Performance modeling and evaluation › tracing
MPI tracing
0.012000
From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems · SC 2000
Parallel and multicore computing
parallel programming models
0.012000
From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems · SC 2000

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

visualization · 0.0trace generation · 0.0interval file format · 0.0
YearPublicationVenuePosition
2000 From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems
abstract
In this paper we describe a trace analysis framework, from trace generation to visualization. It includes a unified tracing facility on IBMâ SPä systems, a self-defining interval file format, an API for framework extensions, utilities for merging and statistics generation, and a visualization tool with preview and multiple time-space diagrams. The trace environment is extremely scalable, and combines MPI events with system activities in the same set of trace files, one for each SMP node. Since the amount of trace data may be very large, utilities are developed to convert and merge individual trace files into a self-defining interval trace file with multiple frame directories. The interval format allows the development of multiple time-space diagrams, such as thread-activity view, processor-activity view, etc., from the same interval file. A visualization tool, Jumpshot, is modified to visualize these views. A statistics utility is developed using the API, along with its graphics viewer.
Ching-Farn Eric Wu, Anthony Bolmarcich, Marc Snir, David Wootton, Farid Parpia, Ewing L. Lusk, William Gropp
SC5