EDBT 2026 Demo / reviewers in the wild / expert
Sangyeol Lee
dblp:95/4722
· DBLP profile ↗
4ranked-venue papers
1as first author
3since 2021 · last 2026
0000-0003-1109-6768ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 · 77% Distributed systems · 12% Hardware reliability and fault tolerance · 12% | |
| Network and information security
1 paper |
Hardware security and side channels · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels
side-channel attack |
1.0 | 1 | 2026 | ReScue: Reliable and Secure CXL Memory · HPCA 2026 |
Hardware security and side channels › side-channel attack
timing side channel |
1.0 | 1 | 2026 | ReScue: Reliable and Secure CXL Memory · HPCA 2026 |
Memory systems › memory disaggregation
CXL memory |
1.0 | 1 | 2026 | ReScue: Reliable and Secure CXL Memory · HPCA 2026 |
Memory systems
memory controller |
1.0 | 1 | 2026 | ReScue: Reliable and Secure CXL Memory · HPCA 2026 |
Distributed systems
fault tolerance |
0.3 | 1 | 2026 | ReScue: Reliable and Secure CXL Memory · HPCA 2026 |
Hardware reliability and fault tolerance
memory fault tolerance |
0.3 | 1 | 2026 | ReScue: Reliable and Secure CXL Memory · HPCA 2026 |
Methods — techniques the papers use, named apart from their topics
bloom filter · 2.0SECDED ECC · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | ReScue: Reliable and Secure CXL MemoryabstractCompute Express Link (CXL) fundamentally shifts the memory abstraction boundary, moving memory management functions from the host CPU to external controllers. While this decoupling allows hyperscalers to integrate diverse media, such as cost-effective, recycled DDR4 modules, it transforms the memory controller into a complex system with new integration challenges. First, we uncover that integrating CXL and memory controller IPs via the industry-standard AXI interconnect creates critical bottlenecks. We demonstrate that variable access latency and out-of-order responses, essential for CXL, can quickly saturate the limited AXI tag space, limiting bandwidth and even causing system hangs in commercial platforms. However, this decoupled architecture also creates a unique opportunity: the CXL controller can exploit its support for variable-latency responses and near-memory processing to implement transparent reliability and security mechanisms. We propose ReScue, a suite of hardware solutions implemented and validated on an Intel Agilex platform. ReScue-R leverages CXL's variable access latency and out-of-order responses to transparently retrieve remapping addresses stored within faulty blocks. By utilizing a Bloom filter to predict faults and minimize overhead, it achieves fault tolerance$9.6 \times 10^{4}$times higher than standard SECDED ECC with only 0.2% performance degradation. ReScue-S addresses security; after demonstrating the first successful Row Hammer (RH) bit flips and physical-address reconstruction on a CXL system, we show that ReScue-S can shape response latencies to prevent timing-based side-channel attacks with only 1.1% performance degradation. Finally, we propose a solution to the discovered AXI-induced system hangs to ensure stable CXL operation. Chihun Song, Austin Antony Cruz, Michael Jaemin Kim, Minbok Wi, Gaohan Ye, Kyungsan Kim, Sangyeol Lee, Jung Ho Ahn, Nam Sung Kim |
HPCA | 7 |
| 2026 | Likelihood-based kernel machine for nonlinear conditionally heteroscedastic time series
Chang Kyeom Kim, Min Hyeok Yoon, Sangyeol Lee |
Neurocomputing | 3 |
| 2025 | Kernel-based composite control chart for nonlinear conditionally heteroscedastic time series
Chang Kyeom Kim, Sangyeol Lee |
Knowl. Based Syst. | 2 |
| 2010 | Objective and expert-independent validation of retinal image registration algorithms by a projective imaging distortion model
Sangyeol Lee, Joseph M. Reinhardt, Philippe C. Cattin, Michael D. Abràmoff |
Medical Image Anal. | 1 |