Demo Data from EDBT 2026 / reviewers in the wild / expert
Hwanjun Lee
dblp:304/0741
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0001-0513-2112ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 1 first-author · 3 since 2021Software engineering, systems software and programming languages · 1 · 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
2 papers |
Memory systems · 90% Energy-efficient computing · 10% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
cache management |
0.9 | 1 | 2025 | Beyond Page Migration: Enhancing Tiered Memory Performance via Integrated Last-Level Cache Management and Page Migration · MICRO 2025 |
Memory systems › memory hierarchy › cache hierarchy management
last-level cache management |
0.9 | 1 | 2025 | Beyond Page Migration: Enhancing Tiered Memory Performance via Integrated Last-Level Cache Management and Page Migration · MICRO 2025 |
Memory systems › virtual memory management
page migration |
0.9 | 1 | 2025 | Beyond Page Migration: Enhancing Tiered Memory Performance via Integrated Last-Level Cache Management and Page Migration · MICRO 2025 |
Memory systems
tiered memory |
0.9 | 1 | 2025 | Beyond Page Migration: Enhancing Tiered Memory Performance via Integrated Last-Level Cache Management and Page Migration · MICRO 2025 |
Memory systems
DRAM |
0.8 | 2 | 2025 | GreenDIMM: OS-assisted DRAM Power Management for DRAM with a Sub-array Granularity Power-Down State · MICRO 2021 Beyond Page Migration: Enhancing Tiered Memory Performance via Integrated Last-Level Cache Management and Page Migration · MICRO 2025 |
Memory systems › DRAM
DRAM power management |
0.5 | 1 | 2021 | GreenDIMM: OS-assisted DRAM Power Management for DRAM with a Sub-array Granularity Power-Down State · MICRO 2021 |
Energy-efficient computing
power management |
0.5 | 1 | 2021 | GreenDIMM: OS-assisted DRAM Power Management for DRAM with a Sub-array Granularity Power-Down State · MICRO 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SMOOTH: Hardware-Assisted Fine-Grained On-Chip Memory Management for Efficient On-Device LLM Inference
Seulki Kim, Bokyeong Kim, Kyeonghyeon Ryu, Yeji Jung, Hwanjun Lee, Sungju Kim, Yunhyeong Jeon, Daehoon Kim 0001 |
ISCA | 5 |
| 2025 | Beyond Page Migration: Enhancing Tiered Memory Performance via Integrated Last-Level Cache Management and Page Migration
Hwanjun Lee, Yeji Jung, Seonmu Oh, Ki-Dong Kang, Seunghak Lee, Daehoon Kim 0001 |
MICRO | 1 |
| 2021 | GreenDIMM: OS-assisted DRAM Power Management for DRAM with a Sub-array Granularity Power-Down StateabstractPower and energy consumed by DRAM comprising main memory of data-center servers have increased substantially as the capacity and bandwidth of memory increase. Especially, the fraction of DRAM background power in DRAM total power is already high, and it will continue to increase with the decelerating DRAM technology scaling as we will have to plug more DRAM modules in servers or stack more DRAM dies in a DRAM package to provide necessary DRAM capacity in the future. To reduce the background power, we may exploit low average utilization of the DRAM capacity in data-center servers (i.e., 40–60%) for DRAM power management. Nonetheless, the current DRAM power management supports low-power states only at the rank granularity, which becomes ineffective with memory interleaving techniques devised to disperse memory requests across ranks. That is, ranks need to be frequently woken up from low-power states with aggressive power management, which can significantly degrade system performance, or they do not get a chance to enter low-power states with conservative power management. Seunghak Lee, Ki-Dong Kang, Hwanjun Lee, Hyungwon Park 0001, Young Hoon Son, Nam Sung Kim, Daehoon Kim 0001 |
MICRO | 3 |