Yakun Sophia Shao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
11
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ASPLOS | SuperNoVA: Algorithm-Hardware Co-Design for Resource-Aware SLAM. | Seah Kim, Roger Hsiao, Borivoje Nikolic, James Demmel, Yakun Sophia Shao |
| 2025 | ASPLOS | Virgo: Cluster-level Matrix Unit Integration in GPUs for Scalability and Energy Efficiency. | Hansung Kim, Ruohan Richard Yan, Joshua You, Tieliang Vamber Yang, Yakun Sophia Shao |
| 2024 | CoRL | DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets. | Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Yakun Sophia Shao, Borivoje Nikolic, Koushil Sreenath |
| 2024 | ISCA | FireAxe: Partitioned FPGA-Accelerated Simulation of Large-Scale RTL Designs. | Joonho Whangbo, Edwin Lim, Chengyi Lux Zhang, Kevin Anderson, Abraham Gonzalez, Raghav Gupta, Nivedha Krishnakumar, Sagar Karandikar, Borivoje Nikolic, Yakun Sophia Shao, Krste Asanovic |
| 2024 | ISLPED | Design Approach for Die-to-Die Interfaces to Enable Energy-Efficient Chiplet Systems. | Vikram Jain, Wei Tang, Zuoguo Wu, Viansa Schmulbach, Yakun Sophia Shao, Zhengya Zhang, Borivoje Nikolic |
| 2024 | MICRO | Stellar: An Automated Design Framework for Dense and Sparse Spatial Accelerators. | Hasan Nazim Genc, Hansung Kim, Prashanth Ganesh, Yakun Sophia Shao |
| 2023 | HPCA | MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks. | Seah Kim, Hasan Genc, Vadim Vadimovich Nikiforov, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao |
| 2023 | ISCA | CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems. | Sagar Karandikar, Aniruddha N. Udipi, Junsun Choi, Joonho Whangbo, Jerry Zhao, Svilen Kanev, Edwin Lim, Jyrki Alakuijala, Vrishab Madduri, Yakun Sophia Shao, Borivoje Nikolic, Krste Asanovic, Parthasarathy Ranganathan |
| 2023 | ISCA | RoS: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation. | Dima Nikiforov, Shengjun Chris Dong, Chengyi Lux Zhang, Seah Kim, Borivoje Nikolic, Yakun Sophia Shao |
| 2023 | MICRO | DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. | Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao |
| 2023 | MICRO | AuRORA: Virtualized Accelerator Orchestration for Multi-Tenant Workloads. | Seah Kim, Jerry Zhao, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao |
| 2022 | ISPASS | Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design. | Qijing Huang, Charles Hong, John Wawrzynek, Mahesh Subedar, Yakun Sophia Shao |
| 2021 | DAC | Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. | Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao |
| 2021 | ISCA | CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. | Qijing Huang, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao |
| 2021 | ISCAS | Vertically Integrated Computing Labs Using Open-Source Hardware Generators and Cloud-Hosted FPGAs. | Alon Amid, Albert J. Ou, Krste Asanovic, Yakun Sophia Shao, Borivoje Nikolic |
| 2021 | ISPASS | Memory-Efficient Hardware Performance Counters with Approximate-Counting Algorithms. | Jingyi Xu, Sehoon Kim, Borivoje Nikolic, Yakun Sophia Shao |
| 2020 | CGO | NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. | Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica |
| 2020 | DAC | Invited: Chipyard - An Integrated SoC Research and Implementation Environment. | Alon Amid, David Biancolin, Abraham Gonzalez, Daniel Grubb, Sagar Karandikar, Harrison Liew, Albert Magyar, Howard Mao, Albert J. Ou, Nathan Pemberton, Paul Rigge, Colin Schmidt, John Charles Wright, Jerry Zhao, Jonathan Bachrach, Yakun Sophia Shao, Borivoje Nikolic, Krste Asanovic |
| 2019 | ASPLOS | Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration. | Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Clayton Crago, Kartik Hegde, Rangharajan Venkatesan, Stephen W. Keckler, Christopher W. Fletcher, Joel S. Emer |
| 2019 | ICCAD | MAGNet: A Modular Accelerator Generator for Neural Networks. | Rangharajan Venkatesan, Yakun Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matthew Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William J. Dally, Joel S. Emer, Stephen W. Keckler, Brucek Khailany |
| 2019 | ISPASS | Timeloop: A Systematic Approach to DNN Accelerator Evaluation. | Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Stephen W. Keckler, Joel S. Emer |
| 2019 | MICRO | Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. | Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler |
| 2018 | DAC | A modular digital VLSI flow for high-productivity SoC design. | Brucek Khailany, Evgeni Khmer, Rangharajan Venkatesan, Jason Clemons, Joel S. Emer, Matthew Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Ross Pinckney, Yakun Sophia Shao, Shreesha Srinath, Christopher Torng, Sam Likun Xi, Yanqing Zhang, Brian Zimmer |
| 2017 | ISCAS | Using dynamic dependence analysis to improve the quality of high-level synthesis designs. | Rafael Garibotti, Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks |
| 2016 | MICRO | Co-designing accelerators and SoC interfaces using gem5-Aladdin. | Yakun Sophia Shao, Sam Likun Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David M. Brooks |
| 2014 | ISCA | Aladdin: A pre-RTL, power-performance accelerator simulator enabling large design space exploration of customized architectures. | Yakun Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David M. Brooks |
| 2013 | ISLPED | Quantifying acceleration: Power/performance trade-offs of application kernels in hardware. | Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks |
| 2013 | ISLPED | Energy characterization and instruction-level energy model of Intel's Xeon Phi processor. | Yakun Sophia Shao, David M. Brooks |
| 2013 | ISPASS | ISA-independent workload characterization and its implications for specialized architectures. | Yakun Sophia Shao, David M. Brooks |