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Sherman Lim

dblp:331/6247 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none

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

Computer networks · 2 · 2 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
Memory systems · 67% Hardware accelerators and domain-specific architectures · 33%
Computer networks
1 paper
Transport protocols and congestion control · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures › domain-specific accelerator › data processing accelerator
data processing unit
1.012026
PD3: Prefetching Data with DPUs for Disaggregated Memory · NSDI 2026
Memory systems
memory disaggregation
1.012026
PD3: Prefetching Data with DPUs for Disaggregated Memory · NSDI 2026
Memory systems › cache
prefetching
1.012026
PD3: Prefetching Data with DPUs for Disaggregated Memory · NSDI 2026
Transport protocols and congestion control › congestion management
congestion control interoperability
0.612022
Understanding speciation in QUIC congestion control · IMC 2022
Transport protocols and congestion control › QUIC
QUIC congestion control
0.612022
Understanding speciation in QUIC congestion control · IMC 2022
YearPublicationVenuePosition
2026 PD3: Prefetching Data with DPUs for Disaggregated Memory
Sidharth Sankhe, Felix Zhang, Umayrah Chonee, Sherman Lim, Jiasheng Hu, Jialin Li 0001, Qizhen Zhang 0001
NSDI4
2022 Understanding speciation in QUIC congestion control
abstract
The QUIC standard is expected to replace TCP in HTTP 3.0. While QUIC implements a number of the standard features of TCP differently, most QUIC stacks re-implement standard congestion control algorithms. This is because these algorithms are well-understood and time-tested. However, there is currently no systematic way to ensure that these QUIC congestion control protocols are implemented correctly and predict how these different QUIC implementations will interact with other congestion control algorithms on the Internet.
Ayush Mishra, Sherman Lim, Ben Leong
IMC2