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Sowoong Kim

dblp:320/8177 · DBLP profile ↗
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4ranked-venue papers
4as first author
4since 2021 · last 2026
0009-0002-9586-1593ORCID · corroborated

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

Systems, architecture and hardware · 3 · 3 first-author · 3 since 2021Security and privacy · 1 · 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.

Network and information security
1 paper
Hardware security and side channels · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 100%

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

TopicWeightPapersLastEvidence papers
Hardware security and side channels
cache side channel
0.612022
DPrime+DAbort: A High-Precision and Timer-Free Directory-Based Side-Channel Attack in Non-Inclusive Cache Hierarchies using Intel TSX · HPCA 2022
Hardware security and side channels
side-channel attack
0.612022
DPrime+DAbort: A High-Precision and Timer-Free Directory-Based Side-Channel Attack in Non-Inclusive Cache Hierarchies using Intel TSX · HPCA 2022
Memory systems
cache coherence
0.212022
DPrime+DAbort: A High-Precision and Timer-Free Directory-Based Side-Channel Attack in Non-Inclusive Cache Hierarchies using Intel TSX · HPCA 2022
Memory systems › cache design
non-inclusive cache
0.212022
DPrime+DAbort: A High-Precision and Timer-Free Directory-Based Side-Channel Attack in Non-Inclusive Cache Hierarchies using Intel TSX · HPCA 2022

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

Intel TSX · 1.1
YearPublicationVenuePosition
2026 Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
Sowoong Kim, Youngsam Shin, Yeongon Cho, Woongki Baek
Euro-Par (2)1
2024 Activation Sequence Caching: High-Throughput and Memory-Efficient Generative Inference with a Single GPU
abstract
Generative artificial intelligence is widely used for various tasks such as language translation and art creation. Generative inference employs the key and value tensors to encode relational information among the tokens in the input and output sequences. Most of the existing generative inference frameworks use KV caching (KVC), which caches the key and value tensors (i.e., the KV cache) to avoid recomputing the key and value tensors for each of the processed tokens. Despite the widespread use of KVC, in-depth characterization of KVC with tensor offloading, which enables generative inference with a single GPU, remains yet to be explored.
Sowoong Kim, Eunyeong Sim, Youngsam Shin, Yeongon Cho, Woongki Baek
PACT1
2023 MARF: A Memory-Aware CLFLUSH-Based Intra- and Inter-CPU Side-Channel Attack
Sowoong Kim, Myeonggyun Han, Woongki Baek
ESORICS (3)1
2022 DPrime+DAbort: A High-Precision and Timer-Free Directory-Based Side-Channel Attack in Non-Inclusive Cache Hierarchies using Intel TSX
abstract
Recent CPUs have begun to adopt non-inclusive cache hierarchies for more effective cache utilization. Non-inclusive cache hierarchies have an additional advantage in that they eliminate the vulnerability to cache-based side-channel attacks. In addition, precise timers are often disabled or added with noise to defeat timer-based side-channel attacks. With the combination of such countermeasures, existing cache- and directory-based side-channel attacks can robustly be defeated on commodity systems.In this work, we discover the vulnerability caused by the undocumented interactions between the coherence directories and Intel TSX transactions in latest Intel CPUs with non-inclusive cache hierarchies. Guided by the observation, we propose a high-precision and timer-free directory attack called DPrime+DAbort in non-inclusive cache hierarchies using Intel TSX, which nullifies the aforementioned countermeasures. Our quantitative evaluation conducted on real systems equipped with latest Intel CPUs in three different generations demonstrates the practicality of the DPrime+DAbort attack in that it can be used to attack cryptographic and genomesequencing applications. We also discuss potential countermeasures and evaluate the feasibility of an Intel TSX-based countermeasure against the DPrime+DAbort attack.
Sowoong Kim, Myeonggyun Han, Woongki Baek
HPCA1