Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Juan Pablo Darago

dblp:163/0029 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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
Cloud and datacenter computing · 50% Performance modeling and evaluation · 50%

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

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › datacenter operations
datacenter workload characterization		 0.212015
Profiling a warehouse-scale computer · ISCA 2015
Performance modeling and evaluation
microarchitectural analysis		 0.212015
Profiling a warehouse-scale computer · ISCA 2015
Cloud and datacenter computing › datacenter architecture
warehouse-scale computer		 0.212015
Profiling a warehouse-scale computer · ISCA 2015
Performance modeling and evaluation
workload characterization		 0.212015
Profiling a warehouse-scale computer · ISCA 2015

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

microarchitectural profiling · 0.2
YearPublicationVenuePosition
2015 Profiling a warehouse-scale computer
abstract
With the increasing prevalence of warehouse-scale (WSC) and cloud computing, understanding the interactions of server applications with the underlying microarchitecture becomes ever more important in order to extract maximum performance out of server hardware. To aid such understanding, this paper presents a detailed microarchitectural analysis of live datacenter jobs, measured on more than 20,000 Google machines over a three year period, and comprising thousands of different applications.
Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David Brooks 0001
 ISCA2