Demo Data from VLDB 2026 / reviewers in the wild / expert
John Barry
dblp:164/3220
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 |
Storage systems · 77% Hardware reliability and fault tolerance · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance › error correction
error-correcting codes |
0.3 | 1 | 2018 | Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview · Proc. IEEE 2018 |
Storage systems
magnetic recording |
0.3 | 1 | 2018 | Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview · Proc. IEEE 2018 |
Storage systems › magnetic recording
timing recovery |
0.3 | 1 | 2018 | Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview · Proc. IEEE 2018 |
Storage systems › magnetic recording
two-dimensional magnetic recording |
0.3 | 1 | 2018 | Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview · Proc. IEEE 2018 |
Storage systems › magnetic recording
bit-patterned media |
0.1 | 1 | 2018 | Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview · Proc. IEEE 2018 |
Methods — techniques the papers use, named apart from their topics
signal detection · 0.3channel modeling · 0.3capacity analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Signal Processing and Coding Techniques for 2-D Magnetic Recording: An OverviewabstractTwo-dimensional magnetic recording (TDMR) is an emerging storage technology that aims to achieve areal densities on the order of 10 Tb/in2, mainly driven by innovative channels engineering with minimal changes to existing head/media designs within a systems framework. Significant additive areal density gains can be achieved by using TDMR over bit patterned media (BPM) and energy-assisted magnetic recording (EAMR). In TDMR, the sectors are inherently 2-D with reduced track pitch and bit widths, leading to severe 2-D intersymbol interference (ISI). This necessitates the development of powerful 2-D signal processing and coding algorithms for mitigating 2-D ISI, timing artifacts, jitter, and electronics noise resulting from irregular media grain positions and read-head electronics. The algorithms have to be eventually realized within a read/write channel architecture as a part of a system-on-chip (SoC) within the disk controller system. In this work, we provide a wide overview of TDMR technology, channel models and capacity, signal processing algorithms (detection and timing recovery), and error-correcting codes attuned to 2-D channels. The innovations and advances described not only make TDMR a promising future technology, but may serve a broader engineering audience as well. Shayan Garani Srinivasa, Lara Dolecek, John Barry, Frederic Sala, Bane Vasic |
Proc. IEEE | 3 |