Demo Data from EDBT 2026 / reviewers in the wild / expert
Daejin Jung
dblp:157/2835
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2
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 · 96% Energy-efficient computing · 4% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › DRAM
DRAM architecture |
0.5 | 2 | 2017 | SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures · HPCA 2017 Microbank: Architecting Through-Silicon Interposer-Based Main Memory Systems · SC 2014 |
Memory systems › DRAM
DRAM microarchitecture |
0.3 | 1 | 2017 | SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures · HPCA 2017 |
Memory systems › DRAM › DRAM latency reduction
low-latency DRAM |
0.3 | 1 | 2017 | SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures · HPCA 2017 |
Memory systems › DRAM › DRAM microarchitecture
bank-level parallelism |
0.2 | 1 | 2014 | Microbank: Architecting Through-Silicon Interposer-Based Main Memory Systems · SC 2014 |
Energy-efficient computing
memory energy efficiency |
0.1 | 1 | 2014 | Microbank: Architecting Through-Silicon Interposer-Based Main Memory Systems · SC 2014 |
Methods — techniques the papers use, named apart from their topics
performance modeling · 0.3microarchitectural simulation · 0.3prediction-based page management · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM MicroarchitecturesabstractMemory access latency has a significant impact on application performance. Unfortunately, the random access latency of DRAM has been scaling relatively slowly, and often directly affects the critical path of execution, especially for applications with insufficient locality or memory-level parallelism. The existing low-latency DRAM organizations either incur significant area overhead or burden the software stack with non-uniform access latency. This paper proposes two microarchitectural techniques to provide uniformly low access time over the entire DRAM chip. The first technique is SALAD, a new DRAM device architecture that provides symmetric access latency with asymmetric DRAM bank organizations. Because local regions have lower data transfer time due to their proximity to the I/O pads, SALAD applies high aspectratio (i.e., low-latency) mats only to remote regions to offset the difference in data transfer time, resulting in symmetrically low latency across regions. The second technique is SOUP (skewed organization of μbanks with pipelined accesses), which leverages asymmetry in column access latency within a region due to non-uniform distance to the column decoders. By starting I/O transfers as soon as data from near cells arrive, instead of waiting for the entire column data, SOUP further saves two memory clock cycles for column accesses for all regions. The resulting design, called SOUP-N-SALAD, improves IPC and EDP by 9.6% (11.2%) and 18.2% (21.8%) over the baseline DDR4 device, respectively, for memory-intensive SPEC CPU2006 workloads without any software modifications, while incurring only 3% (6%) area overhead. Yuhwan Ro, Hyunyoon Cho, Eojin Lee, Daejin Jung, Young Hoon Son, Jung Ho Ahn, Jae W. Lee |
HPCA | 4 |
| 2014 | Microbank: Architecting Through-Silicon Interposer-Based Main Memory SystemsabstractThrough-Silicon Interposer (TSI) has recently been proposed to provide high memory bandwidth and improve energy efficiency of the main memory system. However, the impact of TSI on main memory system architecture has not been well explored. While TSI improves the I/O energy efficiency, we show that it results in an unbalanced memory system design in terms of energy efficiency as the core DRAM dominates overall energy consumption. To balance and enhance the energy efficiency of a TSI-based memory system, we propose μbank, a novel DRAM device organization in which each bank is partitioned into multiple smaller banks (or μbanks) that operate independently like conventional banks with minimal area overhead. The μbank organization significantly increases the amount of bank-level parallelism to improve the performance and energy efficiency of the TSI-based memory system. The massive number of μbanks reduces bank conflicts, hence simplifying the memory system design. We evaluated a sophisticated prediction-based DRAM page-management policy, which can improve performance by up to 20.5% in a conventional memory system without μbanks. However, a μbank-based design does not require such a complex page-management policy and a simple open-page policy is often sufficient -- achieving within 5% of a perfect predictor. Our proposed μbank-based memory system improves the IPC and system energy-delay product by 1.62× and 4.80×, respectively, for memory-intensive SPEC 2006 benchmarks on average, over the baseline DDR3-based memory system. Young Hoon Son, Seongil O, Hyunggyun Yang, Daejin Jung, Jung Ho Ahn, John Kim 0001, Jangwoo Kim, Jae W. Lee |
SC | 4 |