Demo Data from EDBT 2026 / reviewers in the wild / expert
M. Talha Imran
dblp:290/4213
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021
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 · 77% Cloud and datacenter computing · 23% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › resource management › memory management
virtual memory |
0.5 | 1 | 2021 | Rethinking software runtimes for disaggregated memory · ASPLOS 2021 |
Memory systems
memory disaggregation |
0.5 | 1 | 2021 | Rethinking software runtimes for disaggregated memory · ASPLOS 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Rethinking software runtimes for disaggregated memoryabstractDisaggregated memory can address resource provisioning inefficiencies in current datacenters. Multiple software runtimes for disaggregated memory have been proposed in an attempt to make disaggregated memory practical. These systems rely on the virtual memory subsystem to transparently offer disaggregated memory to applications using a local memory abstraction. Unfortunately, using virtual memory for disaggregation has multiple limitations, including high overhead that comes from the use of page faults to identify what data to fetch and cache locally, and high dirty data amplification that comes from the use of page-granularity for tracking changes to the cached data (4KB or higher). Irina Calciu, M. Talha Imran, Ivan Puddu, Sanidhya Kashyap, Hasan Al Maruf, Onur Mutlu, Aasheesh Kolli |
ASPLOS | 2 |