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Benjamin Gum

dblp:14/5427 · DBLP profile ↗
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2ranked-venue papers
0as 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 · 1Theory of computation · 1

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
1 paper
Computational complexity · 60% Algorithms and data structures · 40%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
disk array
0.012000
Trading Capacity for Performance in a Disk Array · OSDI 2000
Storage systems › disk array
disk array performance
0.012000
Trading Capacity for Performance in a Disk Array · OSDI 2000
Algorithms and data structures › similarity search › nearest neighbor search
approximate nearest neighbor search
0.011999
A Lower Bound on the Complexity of Approximate Nearest-Neighbor Searching on the Hamming Cube · STOC 1999
Computational complexity › computational models
cell probe model
0.011999
A Lower Bound on the Complexity of Approximate Nearest-Neighbor Searching on the Hamming Cube · STOC 1999
Computational complexity
lower bounds
0.011999
A Lower Bound on the Complexity of Approximate Nearest-Neighbor Searching on the Hamming Cube · STOC 1999
Algorithms and data structures › similarity search
nearest neighbor search
0.011999
A Lower Bound on the Complexity of Approximate Nearest-Neighbor Searching on the Hamming Cube · STOC 1999
Computational complexity
query complexity
0.011999
A Lower Bound on the Complexity of Approximate Nearest-Neighbor Searching on the Hamming Cube · STOC 1999

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

performance modeling · 0.0communication complexity · 0.0cell probe lower bound · 0.0
YearPublicationVenuePosition
2000 Trading Capacity for Performance in a Disk Array
Benjamin Gum, Yuqun Chen, Randolph Y. Wang, Kai Li 0001, Arvind Krishnamurthy, Thomas E. Anderson
OSDI2
1999 A Lower Bound on the Complexity of Approximate Nearest-Neighbor Searching on the Hamming Cube
abstract
We consider the nearest-neighbor problem over the d-cube: given a collection of points in {0, 1} d, find the one nearest to a query point (in the L 1 sense). We establish a lower bound of Ω(log log d/log log log d)ontheworst-casequery time. This result holds in the cell probe model with (any amount of) polynomial storage and word-size d O(1). The same lower bound holds for the approximate version of the problem, where the answer may be any point further than the nearest neighbor by a factor as large as 2 ⌊(log d)1−ε ⌋ , for any fixed ε>0. 1
Amit Chakrabarti, Bernard Chazelle, Benjamin Gum, Alexey Lvov
STOC3