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Thomas Smailus

dblp:95/635 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none

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

Systems, architecture and hardware · 2

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 · 70% Interconnection networks and networks-on-chip · 23% Hardware reliability and fault tolerance · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › multiprocessor system › distributed-memory multiprocessor
hypercube multiprocessor
0.011995
Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995
Interconnection networks and networks-on-chip
hypercube network
0.011995
Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995
Parallel and multicore computing
processor allocation
0.011995
Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995
Parallel and multicore computing › task allocation
subcube allocation
0.011995
Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995
Hardware reliability and fault tolerance › network fault tolerance
faulty hypercube
0.011995
Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995

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

separation factor · 0.0algebraic functions · 0.0
YearPublicationVenuePosition
1995 Processor Allocation in Hypercube Multiprocessors
abstract
The processor allocation problem requires recognizing and locating a free subcube that can accommodate a request for a subcube of a specified size for an incoming task. Methods reported in the literature fall into two strategies: bottom-up or bit mapped technique (BMT) and top-downer available cube technique (ACT). Our algorithm that solves the allocation problem in faulty hypercubes falls into the category of ACT's which offer the advantage over BMT's of quickly recognizing whether or not a requested subcube is available in the list of fault-free subcubes. We introduce new algebraic functions and the concept of separation factor to select a subcube for allocation. The notion of overlap-syndrome, defined in the text, quantifies the overlap among free subcubes. Our technique has full subcube recognition ability and thus recognizes more subcubes as compared to bit mapped techniques: Buddy, Gray code and its variants. The advantages of our approach over some of the existing ACT's in terms of fragmentation and overall completion time are described in the text and in simulation results.>
Suresh Rai, Jerry L. Trahan, Thomas Smailus
IEEE Trans. Parallel Distributed Syst.3
1993 Processor Allocation in Faulty Hypercube Multiprocessors
Suresh Rai, Jerry L. Trahan, Thomas Smailus
ISCAS3