Demo Data from VLDB 2026 / reviewers in the wild / expert
Huy Vo
dblp:58/11470
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3
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
3 papers |
Electronic design automation · 96% Interconnection networks and networks-on-chip · 3% Reconfigurable computing and FPGAs · 1% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › physical design › routing › VLSI routing
bus routing |
0.7 | 2 | 2019 | Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2019 Streak: Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · DAC 2017 |
Electronic design automation
physical design |
0.7 | 2 | 2019 | Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2019 Streak: Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · DAC 2017 |
Electronic design automation › physical design
routing |
0.7 | 2 | 2019 | Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2019 Streak: Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · DAC 2017 |
Electronic design automation › analog circuit synthesis
topology synthesis |
0.7 | 2 | 2019 | Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2019 Streak: Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · DAC 2017 |
Electronic design automation
high-level synthesis |
0.1 | 1 | 2012 | Chisel: constructing hardware in a Scala embedded language · DAC 2012 |
Electronic design automation › physical design › routing › routability
routability optimization |
0.1 | 1 | 2019 | Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2019 |
Interconnection networks and networks-on-chip
on-chip interconnect |
0.1 | 1 | 2017 | Streak: Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups · DAC 2017 |
Reconfigurable computing and FPGAs
FPGA design flow |
0.0 | 1 | 2012 | Chisel: constructing hardware in a Scala embedded language · DAC 2012 |
Methods — techniques the papers use, named apart from their topics
wire synthesis · 0.4topology generation · 0.4post-refinement · 0.4bottom-up clustering · 0.4type inference · 0.1functional programming · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal GroupsabstractAs very large scale integration technology scales to deep submicron, design for interconnections becomes increasingly challenging. The traditional bus routing follows a sequential bit-by-bit order, and few works explicitly target interbit regularity for signal groups via multilayer topology selection. To overcome these limitations, we present Streak, an efficient framework that combines topology generation and wire synthesis with a global view of optimization and constrained metal layer track resource allocation. In the framework, an identification stage decomposes binding groups into a set of representative objects; with the generated backbones, equivalent topologies are accompanied by the bits in every object; then a formulation guides the routing considering wire congestion and design regularity. Furthermore, a bottom-up clustering methodology based on layer prediction targets to enhance the routability; a post-refinement stage is developed to match the source-to-sink distance deviation among bits in one group. Experimental results using industrial benchmarks demonstrate the effectiveness of the proposed technique. Derong Liu 0002, Bei Yu 0001, Vinicius S. Livramento, Salim Chowdhury, Duo Ding, Huy Vo, Akshay Sharma, David Z. Pan |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 6 |
| 2017 | Streak: Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal GroupsabstractAs VLSI technology scales to deep sub-micron, design for interconnections becomes increasingly challenging. The traditional bus routing follows a sequential bit-by-bit order, and few works explicitly target inter-bit regularity for signal groups via multilayer topology selection. To overcome these limitations, we present Streak, an efficient framework that combines topology generation and wire synthesis with a global view of optimization and constrained metal layer track resource allocation. In the framework, an identification stage decomposes binding groups into a set of representative objects; with the generated backbones, equivalent topologies are accompanied by the bits in every object; then a formulation guides the routing considering wire congestion and design regularity. Experimental results using industrial benchmarks demonstrate the effectiveness of the proposed technique. Derong Liu 0002, Vinicius S. Livramento, Salim Chowdhury, Duo Ding, Huy Vo, Akshay Sharma, David Z. Pan |
DAC | 5 |
| 2012 | Chisel: constructing hardware in a Scala embedded languageabstractIn this paper we introduce Chisel, a new hardware construction language that supports advanced hardware design using highly parameterized generators and layered domain-specific hardware languages. By embedding Chisel in the Scala programming language, we raise the level of hardware design abstraction by providing concepts including object orientation, functional programming, parameterized types, and type inference. Chisel can generate a high-speed C++-based cycle-accurate software simulator, or low-level Verilog designed to map to either FPGAs or to a standard ASIC flow for synthesis. This paper presents Chisel, its embedding in Scala, hardware examples, and results for C++ simulation, Verilog emulation and ASIC synthesis. Jonathan Bachrach, Huy Vo, Brian C. Richards, Yunsup Lee, Andrew Waterman, Rimas Avizienis, John Wawrzynek, Krste Asanovic |
DAC | 2 |