Demo Data from VLDB 2026 / reviewers in the wild / expert
Nhung Hong Nguyen
dblp:242/9313
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-0462-9258ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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 |
Emerging computing paradigms · 77% Performance modeling and evaluation · 23% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Emerging computing paradigms
quantum computer architecture |
0.4 | 1 | 2019 | Full-stack, real-system quantum computer studies: architectural comparisons and design insights · ISCA 2019 |
Compilers and program optimization › domain-specific compilation
quantum compilation |
0.1 | 1 | 2019 | Full-stack, real-system quantum computer studies: architectural comparisons and design insights · ISCA 2019 |
Performance modeling and evaluation
benchmarking |
0.1 | 1 | 2019 | Full-stack, real-system quantum computer studies: architectural comparisons and design insights · ISCA 2019 |
Methods — techniques the papers use, named apart from their topics
real-system measurement · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Full-stack, real-system quantum computer studies: architectural comparisons and design insightsabstractIn recent years, Quantum Computing (QC) has progressed to the point where small working prototypes are available for use. Termed Noisy Intermediate-Scale Quantum (NISQ) computers, these prototypes are too small for large benchmarks or even for Quantum Error Correction (QEC), but they do have sufficient resources to run small benchmarks, particularly if compiled with optimizations to make use of scarce qubits and limited operation counts and coherence times. QC has not yet, however, settled on a particular preferred device implementation technology, and indeed different NISQ prototypes implement qubits with very different physical approaches and therefore widely-varying device and machine characteristics. Prakash Murali, Norbert Matthias Linke, Margaret Martonosi, Ali Javadi-Abhari, Nhung Hong Nguyen, Cinthia Huerta Alderete |
ISCA | 5 |