Canberk Morelli

dblp:317/4843 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 first-author · 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 · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › simulation
cache simulation
0.612022
Warping cache simulation of polyhedral programs · PLDI 2022
Compilers and program optimization
polyhedral model
0.212022
Warping cache simulation of polyhedral programs · PLDI 2022

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

trace-based simulation · 1.1analytical cache modeling · 1.1
YearPublicationVenuePosition
2022 Warping cache simulation of polyhedral programs
abstract
Techniques to evaluate a program's cache performance fall into two camps: 1. Traditional trace-based cache simulators precisely account for sophisticated real-world cache models and support arbitrary workloads, but their runtime is proportional to the number of memory accesses performed by the program under analysis. 2. Relying on implicit workload characterizations such as the polyhedral model, analytical approaches often achieve problem-size-independent runtimes, but so far have been limited to idealized cache models.
Canberk Morelli, Jan Reineke 0001
PLDI1