Demo Data from SIGIR 2026 / reviewers in the wild / expert
Qiyuan Quan
dblp:332/1689
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 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 |
Electronic design automation · 60% Processor architecture and microarchitecture · 40% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › hardware verification and test
functional verification |
0.6 | 1 | 2022 | Towards Developing High Performance RISC-V Processors Using Agile Methodology · MICRO 2022 |
Electronic design automation › hardware verification and test
hardware verification |
0.6 | 1 | 2022 | Towards Developing High Performance RISC-V Processors Using Agile Methodology · MICRO 2022 |
Processor architecture and microarchitecture › microprocessor design
RISC-V processor |
0.6 | 1 | 2022 | Towards Developing High Performance RISC-V Processors Using Agile Methodology · MICRO 2022 |
Processor architecture and microarchitecture › superscalar processor
superscalar out-of-order processor |
0.6 | 1 | 2022 | Towards Developing High Performance RISC-V Processors Using Agile Methodology · MICRO 2022 |
Methods — techniques the papers use, named apart from their topics
pre-silicon validation · 0.6performance modeling · 0.6agile methodology · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Towards Developing High Performance RISC-V Processors Using Agile MethodologyabstractWhile research has shown that the agile chip design methodology is promising to sustain the scaling of computing performance in a more efficient way, it is still of limited usage in actual applications due to two major obstacles: 1) Lack of tool-chain and developing framework supporting agile chip design, especially for large-scale modern processors. 2) The conventional verification methods are less agile and become a major bottleneck of the entire process. To tackle both issues, we propose MINJIE, an open-source platform supporting agile processor development flow. MINJIE integrates a broad set of tools for logic design, functional verification, performance modelling, pre-silicon validation and debugging for better development efficiency of state-of-the-art processor designs. We demonstrate the usage and effectiveness of MINJIE by building two generations of an open-source superscalar out-of-order RISC-V processor code-named XIANGSHAN using agile methodologies. We quantify the performance of XIANGSHAN using SPEC CPU2006 benchmarks and demonstrate that XIANGSHAN achieves industry-competitive performance. Yinan Xu 0001, Dan Tang 0002, Guokai Chen, Lingrui Gou, Qianruo Li, Zuojun Li, Jiazhan Tan, Huaqiang Wang, Huizhe Wang, Kaifan Wang, Chuanqi Zhang, Fawang Zhang, Linjuan Zhang, Zifei Zhang 0001, Yaoyang Zhou, Yike Zhou, Jiangrui Zou, Ye Cai 0001, Dandan Huan, Zusong Li, Jiye Zhao, Qiyuan Quan, Xingwu Liu, Sa Wang, Kan Shi, Ninghui Sun, Yungang Bao |
MICRO | 32 |