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Bozhidar Dimitrov

dblp:82/6765 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none

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

Systems, architecture and hardware · 1 · 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
Parallel and multicore computing · 87% Distributed systems · 13%

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

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel programming runtimes
0.011998
Arachne: A Portable Threads System Supporting Migrant Threads on Heterogeneous Network Farms · IEEE Trans. Parallel Distributed Syst. 1998
Parallel and multicore computing › parallel programming runtimes › thread management
thread migration
0.011998
Arachne: A Portable Threads System Supporting Migrant Threads on Heterogeneous Network Farms · IEEE Trans. Parallel Distributed Syst. 1998

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

runtime system · 0.0preprocessor · 0.0c++ language extension · 0.0
YearPublicationVenuePosition
1998 Arachne: A Portable Threads System Supporting Migrant Threads on Heterogeneous Network Farms
abstract
We present the design and implementation of Arachne, a threads system that can be interfaced with a communications library for multithreaded distributed computations. In particular, Arachne supports thread migration between heterogeneous platforms, dynamic stack size management, and recursive thread functions. Arachne is efficient, flexible, and portable-it is based entirely on C and C++. To facilitate heterogeneous thread operations, we have added three keywords to the C++ language. The Arachne preprocessor takes as input code written in that language and outputs C++ code suitable for compilation with a conventional C++ compiler. The Arachne runtime system manages all threads during program execution. We present some performance measurements on the costs of basic thread operations and thread migration in Arachne and compare these to costs in other threads systems.
Bozhidar Dimitrov, Vernon Rego
IEEE Trans. Parallel Distributed Syst.1