Demo Data from EDBT 2026 / reviewers in the wild / expert
Xingcheng Hua
dblp:193/2577
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved
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 |
Memory systems · 91% Processor architecture and microarchitecture · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
cache coherence |
0.3 | 1 | 2017 | Adaptive Coherence Granularity for Multi-Socket Systems · IEEE Trans. Computers 2017 |
Memory systems › cache coherence
coherence granularity |
0.3 | 1 | 2017 | Adaptive Coherence Granularity for Multi-Socket Systems · IEEE Trans. Computers 2017 |
Memory systems › cache coherence
directory-based coherence |
0.3 | 1 | 2017 | Adaptive Coherence Granularity for Multi-Socket Systems · IEEE Trans. Computers 2017 |
Processor architecture and microarchitecture › multiprocessor architecture
multi-socket systems |
0.1 | 1 | 2017 | Adaptive Coherence Granularity for Multi-Socket Systems · IEEE Trans. Computers 2017 |
Methods — techniques the papers use, named apart from their topics
dynamic granularity refinement · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Adaptive Coherence Granularity for Multi-Socket SystemsabstractThe emerging large-scale multi-socket systems make the need for more sophisticated large-scale coherence management of necessity. Directory-based coherence has been an ad hoc solution and a clear candidate for large-scale shared-memory systems. A vanilla directory design, however, suffers from inefficient use of storage to keep coherence metadata, resulting in a high storage overhead for large-scale systems. In this paper, we propose a dynamic multi-grain directory for large multi-socket systems. The idea is to track coherence of regions of different sizes which requires storing much less information in the directory than having a directory entry per each data block. It dynamically refines granularity according to the application phase and therefore tracks coherence information for regions of varying sizes. The results show that the proposal allows to reduce the directory storage by an order of magnitude, while the loss of precision does not cause performance penalty. The paper demonstrates that different applications and different application phases have different requirements for the region size. Performance results are compared against two state-of-the-art multi-grain directories and it is the one that obtains the better results. Peng Liu 0016, Xingcheng Hua |
IEEE Trans. Computers | 3 |