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James O. Achugbue

dblp:16/3566 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1982
—ORCID · none

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

Theory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Theoretical computer science
2 papers
Mathematical optimization · 80% Computational complexity · 20%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 56% Electronic design automation · 44%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
scheduling
0.021982
Scheduling the Open Shop to Minimize Mean Flow Time · SIAM J. Comput. 1982
Bounds on Schedules for Independent Tasks with Similar Execution Times · J. ACM 1981
Mathematical optimization › scheduling › shop scheduling
open shop scheduling
0.011982
Scheduling the Open Shop to Minimize Mean Flow Time · SIAM J. Comput. 1982
Parallel and multicore computing › parallel scheduling
list scheduling
0.011981
Bounds on Schedules for Independent Tasks with Similar Execution Times · J. ACM 1981
Electronic design automation › high-level synthesis
scheduling
0.011981
Bounds on Schedules for Independent Tasks with Similar Execution Times · J. ACM 1981
Mathematical optimization › scheduling › completion time minimization
makespan minimization
0.011981
Bounds on Schedules for Independent Tasks with Similar Execution Times · J. ACM 1981
Mathematical optimization › scheduling › flow time minimization
mean flow time minimization
0.011982
Scheduling the Open Shop to Minimize Mean Flow Time · SIAM J. Comput. 1982
Parallel and multicore computing › parallel scheduling
independent task scheduling
0.011981
Bounds on Schedules for Independent Tasks with Similar Execution Times · J. ACM 1981

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

worst-case analysis · 0.0list scheduling · 0.0shortest processing time heuristic · 0.0NP-completeness reduction · 0.0
YearPublicationVenuePosition
1982 Scheduling the Open Shop to Minimize Mean Flow Time
abstract
It is shown that the problem of scheduling a two-processor n-job open shop nonpreemptively in order to minimize mean flow time is NP-complete even if input length is measured by the sum of the task lengths. The proof is similar in approach to that used by Garey, Johnson and Sethi to show NP-completeness of the two-processor flow shop mean flow problem. We assume previous results from their paper where possible and concentrate on those elements of the proof that are distinct from theirs. In addition, bounds are derived for the mean flow times of arbitrary and shortest processing time (SPT) first schedules for m-processor n-job systems in terms of the mean flow time of an optimal schedule.
James O. Achugbue, Francis Y. L. Chin
SIAM J. Comput.1
1981 Bounds on Schedules for Independent Tasks with Similar Execution Times
abstract
An open problem by Graham is solved.The problem considered is that of scheduling a set of n independent tasks nonpreemptively on m identical processors to minimize finish time.Let a.,o and ~o be the finish times of an optimal schedule and an arbitrary list schedule, respectively.The worst possible behavior of o~/w0 for tasks with similar execution times is investigated. KEY WORDS AND PHRASES: minimal length
James O. Achugbue, Francis Y. L. Chin
J. ACM1