Demo Data from EDBT 2026 / reviewers in the wild / expert
Farid Parpia
dblp:12/2279
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation
performance analysis tools |
0.0 | 1 | 2000 | From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems · SC 2000 |
High-performance computing
performance optimization at scale |
0.0 | 1 | 2000 | From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems · SC 2000 |
Performance modeling and evaluation › tracing
MPI tracing |
0.0 | 1 | 2000 | From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems · SC 2000 |
Parallel and multicore computing
parallel programming models |
0.0 | 1 | 2000 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | From Trace Generation to Visualization: A Performance Framework for Distributed Parallel SystemsabstractIn 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 |
SC | 5 |