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Mom-Eng Ng

dblp:05/4016 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 93% Integrated circuit design · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware verification and test
design for testability
0.012003
An efficient test vector compression scheme using selective Huffman coding · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003
Electronic design automation › hardware verification and test › test data compression
huffman coding
0.012003
An efficient test vector compression scheme using selective Huffman coding · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003
Electronic design automation › hardware verification and test › design for testability
scan-based testing
0.012003
An efficient test vector compression scheme using selective Huffman coding · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003
Electronic design automation › hardware verification and test
test data compression
0.012003
An efficient test vector compression scheme using selective Huffman coding · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003
Integrated circuit design
system-on-chip
0.012003
An efficient test vector compression scheme using selective Huffman coding · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003

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

selective huffman coding · 0.0pipelined decoder · 0.0
YearPublicationVenuePosition
2003 An efficient test vector compression scheme using selective Huffman coding
abstract
This paper presents a compression/decompression scheme based on selective Huffman coding for reducing the amount of test data that must be stored on a tester and transferred to each core in a system-on-a-chip (SOC) during manufacturing test. The test data bandwidth between the tester and the SOC is a bottleneck that can result in long test times when testing complex SOCs that contain many cores. In the proposed scheme, the test vectors for the SOC are stored in compressed form in the tester memory and transferred to the chip where they are decompressed and applied to the cores. A small amount of on-chip circuitry is used to decompress the test vectors. Given the set of test vectors for a core, a modified Huffman code is carefully selected so that it satisfies certain properties. These properties guarantee that the codewords can be decoded by a simple pipelined decoder (placed at the serial input of the core's scan chain) that requires very small area. Results indicate that the proposed scheme can provide test data compression nearly equal to that of an optimum Huffman code with much less area overhead for the decoder.
Abhijit Jas, Jayabrata Ghosh-Dastidar, Mom-Eng Ng, Nur A. Touba
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.3