Demo Data from VLDB 2026 / reviewers in the wild / expert
Danyal Mohammadi
dblp:158/8082
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0002-8467-7128ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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 |
Integrated circuit design · 30% Processor architecture and microarchitecture · 30% Electronic design automation · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › high-level synthesis › arithmetic-level optimization
bit-width optimization |
0.2 | 1 | 2015 | Optimized Fixed-Point FPGA Implementation of SVPWM for a Two-Level Inverter (Abstract Only) · FPGA 2015 |
Integrated circuit design
digital circuit design |
0.2 | 1 | 2015 | Optimized Fixed-Point FPGA Implementation of SVPWM for a Two-Level Inverter (Abstract Only) · FPGA 2015 |
Processor architecture and microarchitecture › computer arithmetic
fixed-point arithmetic |
0.2 | 1 | 2015 | Optimized Fixed-Point FPGA Implementation of SVPWM for a Two-Level Inverter (Abstract Only) · FPGA 2015 |
Methods — techniques the papers use, named apart from their topics
non-convex optimization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Optimized Fixed-Point FPGA Implementation of SVPWM for a Two-Level Inverter (Abstract Only)abstractThis paper presents an optimized fixed-point implementation of space-vector pulse-width modulation (SVPWM) for a two-level inverter. Bit-width fixed-point signals as well as circuit area are minimized by meeting the desired design accuracy. Most of the designs currently available are specified in floating-point precision to speed the process of simulating their functionality. However, area-optimized hardware implementation of these algorithms requires fixed-point precision. A generic function is used to formulate the precision required for each signal to get the proper accuracy. A non-convex optimization problem is solved for the number of required bit-widths for the signals. This solution has been simulated and implemented on FPGA to verify the resulting accuracy. Danyal Mohammadi, Said Ahmed-Zaid, Nader Rafla 0001 |
FPGA | 1 |