Demo Data from VLDB 2026 / reviewers in the wild / expert
David Fang
dblp:86/2441
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 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 |
Electronic design automation · 67% Reconfigurable computing and FPGAs · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › logic synthesis
asynchronous circuit synthesis |
0.1 | 1 | 2005 | Automated synthesis for asynchronous FPGAs · FPGA 2005 |
Reconfigurable computing and FPGAs › FPGA architecture
asynchronous FPGA |
0.1 | 1 | 2005 | Automated synthesis for asynchronous FPGAs · FPGA 2005 |
Electronic design automation
logic synthesis |
0.1 | 1 | 2005 | Automated synthesis for asynchronous FPGAs · FPGA 2005 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | A High-Performance Asynchronous FPGA: Test ResultsabstractWe report test results from a prototype asynchronous FPGA (AFPGA) implemented in TSMC's 0.18 /spl mu/m CMOS process. The AFPGA uses SRAM-based configuration bits with pipelined logic blocks and switch boxes. Test results demonstrate a throughput of 674 MHz at 1.8 V. David Fang, John Teifel, Rajit Manohar |
FCCM | 1 |
| 2005 | Automated synthesis for asynchronous FPGAsabstractWe present an automatic logic synthesis method targeted for high-performance asynchronous FPGA (AFPGA) architectures. Our method transforms sequential programs as well as high-level descriptions of asynchronous circuits into fine-grain asynchronous process netlists suitable for an AFPGA. The resulting circuits are inherently pipelined, and can be physically mapped onto our AFPGA with standard partitioning and place-and-route algorithms. For a wide variety of benchmarks, our automatic synthesis method not only yields comparable logic densities and performance to those achieved by hand placement, but also attains a throughput close to the peak performance of the FPGA. David Fang, John Teifel, Rajit Manohar |
FPGA | 2 |