VLDB 2026 Research / reviewers in the wild / expert
Thomas Smailus
dblp:95/635
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing › multiprocessor system › distributed-memory multiprocessor
hypercube multiprocessor |
0.0 | 1 | 1995 | Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995 |
Interconnection networks and networks-on-chip
hypercube network |
0.0 | 1 | 1995 | Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995 |
Parallel and multicore computing
processor allocation |
0.0 | 1 | 1995 | Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995 |
Parallel and multicore computing › task allocation
subcube allocation |
0.0 | 1 | 1995 | Processor Allocation in Hypercube Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1995 |
Hardware reliability and fault tolerance › network fault tolerance
faulty hypercube |
0.0 | 1 | 1995 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Processor Allocation in Hypercube MultiprocessorsabstractThe 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 |
ISCAS | 3 |