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Xiao Feng Guan

dblp:141/6347 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Databases, data management, data science and information retrieval · 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
Algorithms and data structures · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

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

TopicWeightPapersLastEvidence papers
Storage systems
out-of-core computation
0.212014
Suffix Array Construction in External Memory Using D-Critical Substrings · ACM Trans. Inf. Syst. 2014
Algorithms and data structures › sequence algorithms
string algorithms
0.212014
Suffix Array Construction in External Memory Using D-Critical Substrings · ACM Trans. Inf. Syst. 2014
Algorithms and data structures › sequence algorithms › string algorithms › string indexing
suffix array construction
0.212014
Suffix Array Construction in External Memory Using D-Critical Substrings · ACM Trans. Inf. Syst. 2014

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

d-critical substring sampling · 0.4cache data structures · 0.2cache data structure · 0.2
YearPublicationVenuePosition
2014 Suffix Array Construction in External Memory Using D-Critical Substrings
abstract
We present a new suffix array construction algorithm that aims to build, in external memory, the suffix array for an input string of length n measured in the magnitude of tens of Giga characters over a constant or integer alphabet. The core of this algorithm is adapted from the framework of the original internal memory SA-DS algorithm that samples fixed-size d-critical substrings. This new external-memory algorithm, called EM-SA-DS, uses novel cache data structures to construct a suffix array in a sequential scanning manner with good data spatial locality: data is read from or written to disk sequentially. On the assumed external-memory model with RAM capacity Ω (( nB ) 0.5 ), disk capacity O ( n ), and size of each I/O block B , all measured in log n -bit words, the I/O complexity of EM-SA-DS is O ( n / B ). This work provides a general cache-based solution that could be further exploited to develop external-memory solutions for other suffix-array-related problems, for example, computing the longest-common-prefix array, using a modern personal computer with a typical memory configuration of 4GB RAM and a single disk.
Ge Nong, Wai Hong Chan, Sen Zhang 0007, Xiao Feng Guan
ACM Trans. Inf. Syst.4