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Youngjin Kwon

4 papers hereh-index 221.6k citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cs.CR1
  • cs.OS1
same name
  • Youngjin Kwon — 3 papers, h 2
  • Youngjin Kwon — 2 papers, h 1
  • Youngjin Kwon — 2 papers, h 3
  • Youngjin Kwon — 1 paper, h 1
  • Youngjin Kwon — 1 paper, h 2
  • Youngjin Kwon — 1 paper, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMulti-model Machine Learning Inference Serving with GPU Spatial Partitioning

9 citations · 17 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DC2021★ 9 cited

Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning

Seungbeom Choi, Sunho Lee, Yeonjae Kim +3

As machine learning techniques are applied to a widening range of applications, high throughput machine learning (ML) inference servers have become critical for online service appl…

cs.CR2021

Stockade: Hardware Hardening for Distributed Trusted Sandboxes

Joongun Park, Seunghyo Kang, Sanghyeon Lee +4

The widening availability of hardware-based trusted execution environments (TEEs) has been accelerating the adaptation of new applications using TEEs. Recent studies showed that a…

cs.DC2019★ 8 cited

Assise: Performance and Availability via NVM Colocation in a Distributed File System

Thomas E. Anderson, Marco Canini, Jongyul Kim +6

The adoption of very low latency persistent memory modules (PMMs) upends the long-established model of disaggregated file system access. Instead, by colocating computation and PMM…

cs.OS2019

Slicing the IO execution with ReLayTracer

Ganguk Lee, Yeaseul Park, Jeongseob Ahn +1

Analyzing IO performance anomalies is a crucial task in various computing environments, ranging from large-scale cloud applications to desktop applications. However, the IO stack o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.