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润锴 谭
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润锴 谭

@0009159

Electronic Engineering student at Warwick who debugged a RISC-V boot chain on QEMU and analyzed SystemC NoC performance.

United Kingdom
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At the Institute of Computing Technology, Chinese Academy of Sciences, I modified and validated a SystemC NoC model. I used trace and waveform analysis to confirm packet generation, routing, and reception.

I compared network configurations under controlled traffic, routing, and buffering conditions to distinguish topology-dependent from load-dependent performance. I also analyzed how bottlenecks shifted across workloads, operating areas, and load levels.

At Beijing Open Source Chip Research Institute, I developed and debugged a RISC-V boot chain on QEMU. I resolved a BusyBox /init failure by cross-checking logs, the rootfs, Device Tree, and MMIO mappings.

I also debugged hvisor hypervisor and guest communication, validating interrupt delivery and multicore memory behavior. I improved the rootfs, DTS, and kernel-image generation workflow with staged checkpoints and regression checks.

Experience

Work history, roles, and key accomplishments

IS

Research Intern

Institute of Computing Technology, Chinese Academy of Scienc

Jul 2026 - Sep 2026 (2 months)

Modified and validated a SystemC NoC model, confirming correct packet generation, routing, and reception through trace and waveform analysis. Diagnosed performance bottlenecks and evaluated design advantages under varying workloads.

BI

RSIC-V System Software Engineering Intern

Beijing Open Source Chip Research Institute

Jul 2025 - Sep 2025 (2 months)

Developed and debugged a RISC-V boot chain on QEMU, resolving BusyBox /init failure. Debugged hvisor hypervisor and guest communication, validating interrupt delivery and multicore memory behavior.

Education

Degrees, certifications, and relevant coursework

The University of Warwick logoTW

The University of Warwick

Bachelor of Engineering, Electronic Engineering

2024 -

Grade: First Class Honours (expected)

Pursuing a Bachelor of Engineering in Electronic Engineering with expected graduation in July 2027. Coursework includes power electronics, machine learning, signal processing, and electronic design.

Tech stack

Software and tools used professionally

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