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Han-Jhen Kuo

dblp:153/9932 · 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

Systems, architecture and hardware · 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.

Computer networks
1 paper
Routing and switching · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Reconfigurable computing and FPGAs · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Routing and switching
IP lookup
0.212014
LayeredTrees: Most Specific Prefix-Based Pipelined Design for On-Chip IP Address Lookups · IEEE Trans. Computers 2014
Reconfigurable computing and FPGAs
FPGA-based network processing
0.212014
LayeredTrees: Most Specific Prefix-Based Pipelined Design for On-Chip IP Address Lookups · IEEE Trans. Computers 2014

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

pipelined prefix tree · 0.4multibit trie · 0.4most specific prefix · 0.4
YearPublicationVenuePosition
2014 LayeredTrees: Most Specific Prefix-Based Pipelined Design for On-Chip IP Address Lookups
abstract
Multibit trie-based pipelines for IP lookups have been demonstrated to be able to achieve the throughput of over 100 Gbps. However, it is hard to store the entire multibit trie into the on-chip memory of reconfigurable hardware devices. Thus, their performance is limited by the speed of off-chip memory. In this paper, we propose a new pipeline design called LayeredTrees that overcomes the shortcomings of the multibit trie-based pipelines. LayeredTrees pipelines the multi-layered multiway balanced prefix trees based on the concept of most specific prefixes. LayeredTrees is optimized to fit the entire routing table into the on-chip memory of reconfigurable hardware devices. No prefix duplication is needed and each${\mbi {W}}$-bit prefix is encoded in a (${\mbi {W}} + {\bf 1}$)-bit format to save memory. Assume the minimal packet size is 40 bytes. Our experimental results on Virtex-6 XC6VSX315T FPGA chip show that the throughputs of 33.6 and 120.8 Gbps can be achieved by the proposed single search engine and multiple search engines running in parallel, respectively. Furthermore, the impact of update operations on the search performance is minimal. With the same FPGA device, an IPv6 routing table of 290,503 distinct entries can also be supported.
Yeim-Kuan Chang, Fang-Chen Kuo, Han-Jhen Kuo, Cheng-Chien Su
IEEE Trans. Computers3