Peng Qu
Associate Researcher
Works on computer architecture and brain-inspired computing, including neuromorphic completeness and hierarchies for brain-inspired systems.
Peng Qu's lab at Tsinghua works on accelerators, chips & architecture. 10 papers since 2023, 2 at top venues, mostly ASPLOS and MICRO. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 20%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 1
- 4 papers2024 · T1 1
- 1 papers2023 · T1 0
T1 venuesOtherVenues: ASPLOS, MICRO
Research focuspaper titles that use each topic's words
- Accelerators, chips & architecture1 paper
- brain-inspired1 paper
- brain-inspired computing1 paper
- neuromorphic1 paper
- computer architecture0 papers
Paper list
From DBLP.
20263 papers
20252 papers
20244 papers
- PPoPPA Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs (opens in a new tab)
- MICRO (T1)ActiveN: A Scalable and Flexibly-Programmable Event-Driven Neuromorphic Processor (opens in a new tab)
- FPLDTrans: A Dataflow-transformation FPGA Accelerator with Nonlinear-operators fusion aiming for the Generative Model (opens in a new tab)
- J. Comput. Sci. Technol.Research on General-Purpose Brain-Inspired Computing Systems (opens in a new tab)
20231 paper
- IEEE Trans. Parallel Distributed Syst.ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
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