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Chikun Yuan

dblp:228/3886 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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

Systems, architecture and hardware · 2 · 1 first-author · 1 since 2021

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
Hardware reliability and fault tolerance · 50% Interconnection networks and networks-on-chip · 25% Processor architecture and microarchitecture · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware reliability and fault tolerance › error correction
error-correcting codes
0.512021
ECDR$^{2}$2: Error Corrector and Detector Relocation Router for Network-on-Chip · IEEE Trans. Computers 2021
Hardware reliability and fault tolerance
error correction
0.512021
ECDR$^{2}$2: Error Corrector and Detector Relocation Router for Network-on-Chip · IEEE Trans. Computers 2021
Processor architecture and microarchitecture › pipelining
pipeline optimization
0.512021
ECDR$^{2}$2: Error Corrector and Detector Relocation Router for Network-on-Chip · IEEE Trans. Computers 2021
Interconnection networks and networks-on-chip
router architecture
0.512021
ECDR$^{2}$2: Error Corrector and Detector Relocation Router for Network-on-Chip · IEEE Trans. Computers 2021

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

pipeline optimization · 0.5error correction codes · 0.5
YearPublicationVenuePosition
2021 ECDR$^{2}$2: Error Corrector and Detector Relocation Router for Network-on-Chip
abstract
Network-on-chip (NoC) is commonly used in modern many-core systems due to their high bandwidth and flexibility. As the manufacturing process keeps scaling, the reliability challenge in NoCs increases as well. The error correction code (ECC) is widely adopted in error correction NoCs to improve the data correctness. At the same time, extra stages are introduced in the router pipeline to improve the error correction capability. As a result, conventional error correction routers suffer from high network latency. Motivated by this limitation, i.e., we remove the extra pipeline stages delicately introduced for error correction. We propose an error correction router, called error corrector and detector relocation router (ECDR2), whose architecture optimizes the pipeline flow of the router. As a result, it can achieve both low latency and high error correction. Experimental results show that, compared with the baseline design, ECDR2obtains 13.67 and 39.4 percent less average latency under the uniform traffic pattern and Dedup benchmark, respectively, in an 8 × 8 mesh NoC. The circuit area of ECR is also 7.9 percent less than that of the baseline design under 45-nm technology.
Letian Huang, Chikun Yuan, Junshi Wang, Masoumeh Ebrahimi, Qiang Li 0021
IEEE Trans. Computers2
2018 Micro-Architecture Design for Low Overhead Fault Tolerant Network-on-Chip
abstract
Aggressive technology scaling results in reliability decrease of Network-on-Chips (NoCs). Error Correction Codes (ECC) is commonly used to correct error data. It is necessary to balance the reliability of transmissions and the overhead introduced by encoders and decoders. This work utilizes a mechanism reusing decoders in Network Interfaces (NIs), which is named Send-Back ECC. This paper proposes the detailed hardware implementation of Send-Back NoC after hardware overhead optimizing. The design details of the routers and NIs are described. Simulation results prove that the latency of Send-Back ECC is lower than H2H ECC when bit error rate is lower than 0.0002 and always lower than E2E ECC. The hardware overhead of Send-Back ECC is 10.6% lower than H2H ECC, while the energy consumption is also less than both E2E ECC and H2H ECC.
Chikun Yuan, Letian Huang, Junshi Wang, Qiang Li 0021
ISCAS1