EDBT 2026 Demo / reviewers in the wild / expert

Pavani Panakanti

dblp:337/9648 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0000-0318-9951ORCID · reported

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

Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021

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% Cloud and datacenter computing · 50%
Databases, data mining, and information retrieval
1 paper
Machine learning and data management · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
benchmarking		 0.712023
Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks · ISCA 2023
Cloud and datacenter computing › datacenter operations
datacenter workload characterization		 0.712023
Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks · ISCA 2023

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

workload representativeness · 1.3fleet change incorporation · 1.3
YearPublicationVenuePosition
2023 Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks
abstract
Building large AI fleets to support the rapidly growing DL workloads is an active research topic for modern cloud providers. Generating accurate benchmarks plays an essential role in designing the fast-paced software and hardware solutions in this space. Two fundamental challenges to make this scalable are (i) workload representativeness and (ii) the ability to quickly incorporate changes to the fleet into the benchmarks.
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan 0002, Christina Delimitrou
 ISCA5