EDBT 2026 Demo / reviewers in the wild / expert
Sang Hyong Lee
dblp:149/0332
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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 |
Embedded and real-time systems · 44% Distributed systems · 44% Energy-efficient computing · 13% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
data synchronization |
0.2 | 1 | 2014 | $C\!\!-\!\!Lock$ : Energy Efficient Synchronization for Embedded Multicore Systems · IEEE Trans. Computers 2014 |
Embedded and real-time systems › embedded hardware platform
multicore embedded systems |
0.2 | 1 | 2014 | $C\!\!-\!\!Lock$ : Energy Efficient Synchronization for Embedded Multicore Systems · IEEE Trans. Computers 2014 |
Methods — techniques the papers use, named apart from their topics
transactional memory · 0.2lock-based synchronization · 0.2clock gating · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | $C\!\!-\!\!Lock$ : Energy Efficient Synchronization for Embedded Multicore SystemsabstractData synchronization among multiple cores has been one of the critical issues which must be resolved in order to optimize the parallelism of multicore architectures. Data synchronization schemes can be classified as lock-based methods (“pessimistic”) and lock-free methods (“optimistic”). However, none of these methods consider the nature of embedded systems which have demanding and sometimes conflicting requirements not only for high performance, but also for low power consumption. As an answer to these problems, we propose$C\!\!- \!\! Lock$, an energy- and performance-efficient data synchronization method for multicore embedded systems.$C\!\!- \!\! Lock$achieves balanced energy- and performance-efficiency by combining the advantages of lock-based methods and transactional memory (TM) approaches; in$C\!\!- \!\! Lock$, the core is blocked only when true conflicts exist (advantage of TM), while avoiding roll-back operations which can cause huge overhead with regard to both performance and energy (this is an advantage of locks). Also, in order to save more energy,$C\!\!- \!\! Lock$disables the clocks of the cores which are blocked for the access to the shared data until the shared data become available. We compared our$C\!\!- \!\! Lock$approach against traditional locks and transactional memory systems and found that$C\!\!- \!\! Lock$can reduce the energy-delay product by up to 1.94 times and 13.78 times compared to the baseline and TM, respectively. Sang Hyong Lee, Minje Jun, Byunghoon Lee, Won Woo Ro, Eui-Young Chung, Jean-Luc Gaudiot |
IEEE Trans. Computers | 2 |