VLDB 2026 Research / reviewers in the wild / expert
Andrew E. Wilson
dblp:259/0418 · also Andrew Elbert Wilson
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2024
0000-0003-3421-5766ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 first-author · 2 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 |
Hardware reliability and fault tolerance · 61% Electronic design automation · 30% Reconfigurable computing and FPGAs · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › hardware verification and test
fault analysis |
0.7 | 1 | 2023 | Post-Radiation Fault Analysis of a High Reliability FPGA Linux SoC · FPGA 2023 |
Hardware reliability and fault tolerance › radiation effects
radiation-induced faults |
0.7 | 1 | 2023 | Post-Radiation Fault Analysis of a High Reliability FPGA Linux SoC · FPGA 2023 |
Hardware reliability and fault tolerance › redundancy › modular redundancy
triple modular redundancy |
0.7 | 1 | 2023 | Post-Radiation Fault Analysis of a High Reliability FPGA Linux SoC · FPGA 2023 |
Reconfigurable computing and FPGAs › FPGA architecture
SRAM-based FPGA |
0.2 | 1 | 2023 | Post-Radiation Fault Analysis of a High Reliability FPGA Linux SoC · FPGA 2023 |
Methods — techniques the papers use, named apart from their topics
neutron radiation testing · 0.7configuration scrubbing · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Improving Fault Tolerance for FPGA SoCs through Post-Radiation Design AnalysisabstractFPGAs have been shown to operate reliably within harsh radiation environments by employing single-event upset (SEU) mitigation techniques, such as configuration scrubbing, triple-modular redundancy, error correction coding, and radiation aware implementation techniques. The effectiveness of these techniques, however, is limited when using complex system-level designs that employ complex I/O interfaces with single-point failures. In previous work, a complex SoC system running Linux applied several of these techniques only to obtain an improvement of 14 \(\times\) in mean time to failure (MTTF). A detailed post-radiation fault analysis found that the limitations in reliability were due to the DDR interface, the global clock network, and interconnect. This article applied a number of design-specific SEU mitigation techniques to address the limitations in reliability of this design. These changes include triplicating the global clock, optimizing the placement of the reduction output voters and input flip-flops, and employing a mapping technique called “striping.” The application of these techniques improved MTTF of the mitigated design by a factor of 1.54 \(\times\) and thus provides a 22.8X \(\times\) MTTF improvement over the unmitigated design. A post-radiation fault analysis using BFAT was also performed to find the remaining design vulnerabilities. Andrew E. Wilson, Nathan Baker, Ethan Campbell, Michael J. Wirthlin |
ACM Trans. Reconfigurable Technol. Syst. | 1 |
| 2023 | Post-Radiation Fault Analysis of a High Reliability FPGA Linux SoCabstractFPGAs are increasingly being used in space and other harsh radiation environments. However, SRAM-based FPGAs are susceptible to radiation in these environments and experience upsets within the configuration memory (CRAM), causing design failure. The effects of CRAM upsets can be mitigated using triple-modular redundancy and configuration scrubbing. This work investigates the reliability of a soft RISC-V SoC system executing the Linux operating system mitigated by TMR and configuration scrubbing. In particular, this paper analyzes the failures of this triplicated system observed at a high-energy neutron radiation experiment. Using a bitstream fault analysis tool, the failures of this system caused by CRAM upsets are traced back to the affected FPGA resource and design logic. This fault analysis identifies the interconnect and I/O as the most vulnerable FPGA resources and the DDR controller logic as the design logic most likely to cause a failure. By identifying the FPGA resources and design logic causing failures in this TMR system, additional design enhancements are proposed to create a more reliable design for harsh radiation environments. Andrew E. Wilson, Nathan Baker, Ethan Campbell, Jackson Sahleen, Michael J. Wirthlin |
FPGA | 1 |