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Ilya Lipkind

dblp:70/511 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none

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

Software engineering, systems software and programming languages · 2 · 1 first-author

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
Distributed systems · 39% Memory systems · 30% Parallel and multicore computing · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › cache › multiprocessor cache
coherent cache
0.011999
Object Views: Language Support for Intelligent Object Caching in Parallel and Distributed Computations · OOPSLA 1999
Distributed systems
object caching
0.011999
Object Views: Language Support for Intelligent Object Caching in Parallel and Distributed Computations · OOPSLA 1999
Parallel and multicore computing
parallel programming models
0.011999
Object Views: Language Support for Intelligent Object Caching in Parallel and Distributed Computations · OOPSLA 1999

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

object views · 0.0
YearPublicationVenuePosition
2000 A Middleware System Which Intelligently Caches Query Results
Louis Degenaro, Arun Iyengar, Ilya Lipkind, Isabelle Rouvellou
Middleware3
1999 Object Views: Language Support for Intelligent Object Caching in Parallel and Distributed Computations
abstract
Object-based parallel and distributed applications are becoming increasingly popular, driven by the programmability advantages of component technology and a flat shared-object space. However, the flat shared-object space introduces a performance challenge: applications that rely on the transparent coherent caching of objects achieve high performance only on tightly coupled parallel machines. In distributed environments, the overheads of object caching force application designers to choose other solutions. Consequently, most applications sacrifice programmability, relying instead on either the explicit coherence management of cached objects, or on vastly different middleware abstractions such as multicast and events.
Ilya Lipkind, Igor Pechtchanski, Vijay Karamcheti
OOPSLA1