Yuan Yao
Associate senior lecturer/Assistant Professor at Department of Information Technology; Division of Computer Systems
- Telephone:
- +46 18 471 73 63
- E-mail:
- yuan.yao@it.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 524
751 20 UPPSALA
- Academic merits:
- Docent
- ORCID:
- 0000-0001-9448-5595
Biography
I obtained the B.S. degree in Micro-electronics from Northwestern Polytechnical University, China in 2009, and the M.S. degree in System-on-Chip Design from KTH Royal Institute of Technology, Sweden in 2014. I am a PhD student in the School of Electrical Engineering and Computer Science (EECS) at KTH during 2015 to 2019.
Research
Research Interests:
- Computer architecture design, power and thermal control for chip multi-/many-processors (CMPs), Network-on-Chips (NoCs), and GPGPUs.
- Coherency/consistency provisioning for emerging memory techniques.
- Hardware/Software co-design for high performance parallel computing architectures.
- Performance analysis and QoS for on-chip networking and memory systems.
Publications
Conference paper
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Yuan Yao and Zhonghai Lu, “iNPG: Accelerating Critical Section Access with InNetwork Packet Generation for NoC Based Many-Cores”, in Proceedings of the 24nd IEEE International Symposium on High Performance Computer Architecture (HPCA, *Best paper candidate*), Vienna, Feb. 2018.
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Yuan Yao and Zhonghai Lu, “Opportunistic Competition Overhead Reduction for Expediting Critical Section in NoC based CMPs”, in Proceedings of the 43rd International Symposium on Computer Architecture (ISCA), Seoul, Jul. 2016.
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Yuan Yao and Zhonghai Lu, “Memory-Access Aware DVFS for Network-onChip in CMPs”, in Proceedings of Design, Automation & Test in Europe (DATE), Dresden, Mar. 2016.
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Yuan Yao and Zhonghai Lu, “DVFS for NoCs in CMPs: A Thread Voting Approach”, in Proceedings of the 22nd IEEE International Symposium on High Performance Computer Architecture (HPCA), Barcelona, Feb. 2016.
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Zhonghai Lu, Yuan Yao, Yuming Jiang, “Towards Stochastic Delay Bound Analysis for Network-on-Chip”, in IEEE/ACM International Symposium on Networkon-Chip (NoCS), Ferrere, Sep. 2014.
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Yuan Yao and Zhonghai Lu, “Fuzzy Flow Regulation for Network-on-Chip based Chip Multiprocessors Systems”, in 19th Asia and South Pacific Design Automation Conference (ASP-DAC), Singapore, Feb. 2014.
Journal paper
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Yuan Yao and Zhonghai Lu, “Pursuing Extreme Power Efficiency With PPCC Guided NoC DVFS”, in IEEE Transactions on Computers (TC, Volume: 69, Issue: 3), Mar. 2020.
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Zhonghai Lu and Yuan Yao, “Thread Voting DVFS for Manycore NoCs”, in IEEE Transactions on Computers (TC, Volume: 67, Issue: 10), Oct. 2018.
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Zhonghai Lu and Yuan Yao, “Marginal Performance: Formalizing and Quantifying Power Over/Under Provisioning in NoC DVFS”, in IEEE Transactions on Computers (TC, Volume: 66, Issue: 11), Nov. 2017.
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Zhonghai Lu and Yuan Yao, “Dynamic Traffic Regulation in NoC-Based Systems”, in IEEE Transactions on Very Large Scale Integration Systems (TVLSI, Volume: 25, Issue: 2), Feb. 2017.
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Zhonghai Lu and Yuan Yao, “Aggregate Flow-Based Performance Fairness in CMPs”, in ACM Transactions on Architecture and Code Optimization (TACO, Volume 13 Issue 4), Dec. 2016.
Work-in-progress
- Yuan Yao and Zhonghai Lu, "Work-in-progress: Prediction based Convolution Neural Network Acceleration", in International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), Oct. 2017.
Media
My personal websize
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Publications
Recent publications
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Efficient CNN Inference on Ultra-Low-Power MCUs via Saturation-Aware Convolution
2026
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The Fake-Busy and True-Idle Problems of Running Graph Applications on Chiplet-Based Multi-Cores
Part of 2025 IEEE International Symposium on Workload Characterization (IISWC), p. 42-55, 2025
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RXT: RefleXive Address Translation for Pointer-Chasing Workloads
Part of 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS), p. 1062-1073, 2025
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The Fake-Busy and True-Idle Problems of Running Graph Applications on Chiplet-Based Multi-cores
Part of 2025 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), p. 347-349, 2025
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TangramFP: Energy-Efficient, Bit-Parallel, Multiply-Accumulate for Deep Neural Networks
Part of 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), p. 1-12, 2024
All publications
Articles in journal
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SE-CNN: Convolution Neural Network Acceleration via Symbolic Value Prediction
Part of IEEE Journal on Emerging and Selected Topics in Circuits and Systems, p. 73-85, 2023
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Game-of-Life Temperature-Aware DVFS Strategy for Tile-Based Chip Many-Core Processors
Part of IEEE Journal on Emerging and Selected Topics in Circuits and Systems, p. 58-72, 2023
Conference papers
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Efficient CNN Inference on Ultra-Low-Power MCUs via Saturation-Aware Convolution
2026
-
The Fake-Busy and True-Idle Problems of Running Graph Applications on Chiplet-Based Multi-Cores
Part of 2025 IEEE International Symposium on Workload Characterization (IISWC), p. 42-55, 2025
-
RXT: RefleXive Address Translation for Pointer-Chasing Workloads
Part of 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS), p. 1062-1073, 2025
-
The Fake-Busy and True-Idle Problems of Running Graph Applications on Chiplet-Based Multi-cores
Part of 2025 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), p. 347-349, 2025
-
TangramFP: Energy-Efficient, Bit-Parallel, Multiply-Accumulate for Deep Neural Networks
Part of 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), p. 1-12, 2024
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TaDA: Task Decoupling Architecture for the Battery-less Internet of Things
Part of SenSys '24, p. 409-421, 2024
- DOI for TaDA: Task Decoupling Architecture for the Battery-less Internet of Things
- Download full text (pdf) of TaDA: Task Decoupling Architecture for the Battery-less Internet of Things
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Silent Stores in the Battery-less Internet of Things: A Good Idea?
Part of Ewsn '23, p. 40-45, 2023
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TSOPER: Efficient Coherence-Based Strict Persistency
Part of 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), p. 125-138, 2021