Demo Data from EDBT 2026 / reviewers in the wild / expert
Weimin Zhen
dblp:138/4144
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—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 |
Memory systems · 57% Hardware reliability and fault tolerance · 38% Storage systems · 6% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance
memory fault tolerance |
0.2 | 1 | 2013 | Aegis: partitioning data block for efficient recovery of stuck-at-faults in phase change memory · MICRO 2013 |
Memory systems
non-volatile memory |
0.2 | 1 | 2013 | Aegis: partitioning data block for efficient recovery of stuck-at-faults in phase change memory · MICRO 2013 |
Memory systems › non-volatile memory
phase change memory |
0.2 | 1 | 2013 | Aegis: partitioning data block for efficient recovery of stuck-at-faults in phase change memory · MICRO 2013 |
Hardware reliability and fault tolerance › memory reliability
stuck-at fault recovery |
0.2 | 1 | 2013 | Aegis: partitioning data block for efficient recovery of stuck-at-faults in phase change memory · MICRO 2013 |
Memory systems › non-volatile memory › write reliability
write endurance |
0.2 | 1 | 2013 | Aegis: partitioning data block for efficient recovery of stuck-at-faults in phase change memory · MICRO 2013 |
Storage systems
storage reliability |
0.0 | 1 | 2013 | Aegis: partitioning data block for efficient recovery of stuck-at-faults in phase change memory · MICRO 2013 |
Methods — techniques the papers use, named apart from their topics
data block partitioning · 0.2bit inversion · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Aegis: partitioning data block for efficient recovery of stuck-at-faults in phase change memoryabstractWhile Phase Change Memory (PCM) holds a great promise as a complement or even replacement of DRAM-based memory and flash-based storage, it must effectively overcome its limit on write endurance to be a reliable device for an extended period of intensive use. The limited write endurance can lead to permanent stuck-at faults after a certain number of writes, which causes some memory cells permanently stuck at either '0' or '1'. State-of-the-art solutions apply a bit inversion technique on selected bit groups of a data block after its partitioning. The effectiveness of this approach hinges on how a data block is partitioned into bit groups. While all existing solutions can separate faults into different groups for error correction, they are inadequate on three fundamental capabilities desired for any partition scheme. First, it can maximize probability of successfully re-partitioning a block so that two faults currently in the same group are placed into two new groups. Second, it can partition a block into a small number of groups for space efficiency. Third, it should spread out faults across the groups as uniformly as possible, so that more faults can be accommodated within the same number of groups. A recovery solution with these capabilities can provide strong fault tolerance with minimal overhead. Jie Fan 0004, Song Jiang 0001, Jiwu Shu, Youhui Zhang, Weimin Zhen |
MICRO | 5 |