default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSophia Shao
Yakun Sophia Shao
Person information
- affiliation: University of California Berkeley, CA, USA
- affiliation (PhD 2016): Harvard University, Cambridge, MA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
showing all ?? records
2020 – today
- 2026
[j13]Seah Kim
, Jerry Zhao, Roger Hsiao, Yufeng Chi, Vighnesh Iyer, Vikram Jain, Borivoje Nikolic, Yakun Sophia Shao:
MAVERIC: A Heterogeneous Robotics SoC With 4 CPU Cores and 13 INT8/FP32 Accelerators in 16-nm-Class Technology. IEEE J. Solid State Circuits 61(4): 1490-1501 (2026)- [j12]Vikram Jain, Daniel Grubb, Jerry Zhao, Kevin Anderson, Ken Ho, Dima Nikiforov, Shengjun Kris Dong, Yufeng Chi, Ella Schwarz, Krste Asanovic, Yakun Sophia Shao, Borivoje Nikolic:
Cygnus: A Heterogeneous Octa-Core RISC-V Vector Processor for Digital Signal Processing Applications. IEEE J. Solid State Circuits 61(8): 4503-4517 (2026) - [c42]Junsun Choi, Sunjin Choi, Sam Son, Vladimir Stojanovic, Yakun Sophia Shao, Borivoje Nikolic:
Performance Thresholds for Optical Circuit Switching in LLM Inference. OFC 2026: 1-3 - [i26]Roger Hsiao, Yuchen Fang, Xiangru Huang, Ruilong Li, Hesam Rabeti, Zan Gojcic, Javad Lavaei, James Demmel, Yakun Sophia Shao:
3DGS2-TR: Scalable Second-Order Trust-Region Method for 3D Gaussian Splatting. CoRR abs/2602.00395 (2026) - [i25]Deming Chen, Jason Cong, Azalia Mirhoseini, Christos Kozyrakis, Subhasish Mitra, Jinjun Xiong, Cliff Young, Anima Anandkumar, Michael L. Littman, Aron Kirschen, Sophia Shao, Serge Leef, Naresh R. Shanbhag, Dejan S. Milojicic, Michael Schulte, Gert Cauwenberghs, Jerry M. Chow, Tri Dao, Kailash Gopalakrishnan, Richard Ho, Hoshik Kim, Kunle Olukotun, David Z. Pan, Mark Ren, Dan Roth, Aarti Singh, Yizhou Sun, Yusu Wang, Yann LeCun, Ruchir Puri:
AI+HW 2035: Shaping the Next Decade. CoRR abs/2603.05225 (2026) - [i24]Junsun Choi, Sam Son, Sunjin Choi, Hansung Kim, Yakun Sophia Shao, Scott Shenker, Sylvia Ratnasamy, Borivoje Nikolic:
Rethinking Network Topologies for Cost-Effective Mixture-of-Experts LLM Serving. CoRR abs/2605.00254 (2026) - [i23]Coleman Hooper, Minwoo Kang, Suhong Moon, Nicholas Lee, Eric Wen, John Wawrzynek, Michael W. Mahoney, Yakun Sophia Shao, Amir Gholami, Kurt Keutzer:
Speculative Interaction Agents: Building Real-Time Agents with Asynchronous I/O and Speculative Tool Calling. CoRR abs/2605.13360 (2026) - [i22]Angela Cui, Ferran Hermida-Rivera, Jack Toubes, Raghav Gupta, Jim Fang, Chengyi Lux Zhang, Ella Schwarz, Junha Kim, Yakun Sophia Shao, Borivoje Nikolic, Christopher W. Fletcher, Sagar Karandikar:
CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research. CoRR abs/2606.27350 (2026) - 2025
- [c41]Seah Kim, Roger Hsiao, Borivoje Nikolic, James Demmel, Yakun Sophia Shao:
SuperNoVA: Algorithm-Hardware Co-Design for Resource-Aware SLAM. ASPLOS (1) 2025: 1035-1051 - [c40]Hansung Kim, Ruohan Richard Yan, Joshua You, Tieliang Vamber Yang, Yakun Sophia Shao:
Virgo: Cluster-level Matrix Unit Integration in GPUs for Scalability and Energy Efficiency. ASPLOS (2) 2025: 1382-1399 - [c39]Prashanth Ganesh, Zekai Lin, Yakun Sophia Shao:
XRSight: An End-to-End Hardware-Software Co-Design Platform for XR SoC Evaluation. IISWC 2025: 452-463 - [c38]Shengjun Kris Dong, Dima Nikiforov, Widyadewi Soedarmadji, Minh Nguyen, Vikram Jain, Christopher W. Fletcher, Yakun Sophia Shao:
Characterizing and Optimizing Real-Time Optimal Control for Embedded SoCs. IISWC 2025: 489-503 - [c37]Charles Hong, Brendan Roberts, Huijae An, Alex Um, Advay Ratan, Yakun Sophia Shao:
hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation. MLCAD 2025: 1-8 - [c36]Coleman Hooper, Sebastian Zhao, Luca Manolache, Sehoon Kim, Michael W. Mahoney, Sophia Shao, Kurt Keutzer, Amir Gholami:
Multipole Attention for Efficient Long Context Reasoning. NeurIPS 2025 - [i21]Coleman Hooper, Sehoon Kim, Suhong Moon, Kerem Dilmen, Monishwaran Maheswaran, Nicholas Lee, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami:
ETS: Efficient Tree Search for Inference-Time Scaling. CoRR abs/2502.13575 (2025) - [i20]Coleman Hooper, Charbel Sakr, Ben Keller, Rangharajan Venkatesan, Kurt Keutzer, Yakun Sophia Shao, Brucek Khailany:
FGMP: Fine-Grained Mixed-Precision Weight and Activation Quantization for Hardware-Accelerated LLM Inference. CoRR abs/2504.14152 (2025) - [i19]Yufeng Chi, Qiayuan Liao, Junfeng Long, Xiaoyu Huang, Yakun Sophia Shao, Borivoje Nikolic, Zhongyu Li, Koushil Sreenath:
Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot. CoRR abs/2504.17249 (2025) - [i18]Yiyang Shao, Xiaoyu Huang, Bike Zhang, Qiayuan Liao, Yuman Gao, Yufeng Chi, Zhongyu Li, Yakun Sophia Shao, Koushil Sreenath:
LangWBC: Language-directed Humanoid Whole-Body Control via End-to-end Learning. CoRR abs/2504.21738 (2025) - [i17]Charles Hong, Sahil Bhatia, Alvin Cheung, Yakun Sophia Shao:
Autocomp: LLM-Driven Code Optimization for Tensor Accelerators. CoRR abs/2505.18574 (2025) - [i16]Charles Hong, Brendan Roberts, Huijae An, Alex Um, Advay Ratan, Yakun Sophia Shao:
hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation. CoRR abs/2506.04544 (2025) - [i15]Coleman Hooper, Sebastian Zhao, Luca Manolache, Sehoon Kim, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami:
Multipole Attention for Efficient Long Context Reasoning. CoRR abs/2506.13059 (2025) - [i14]Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao:
DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. CoRR abs/2509.10702 (2025) - [i13]Hang Liu, Yuman Gao, Sangli Teng, Yufeng Chi, Yakun Sophia Shao, Zhongyu Li, Maani Ghaffari, Koushil Sreenath:
Ego-Vision World Model for Humanoid Contact Planning. CoRR abs/2510.11682 (2025) - 2024
- [j11]Seah Kim, Jerry Zhao, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao:
AuRORA: A Full-Stack Solution for Scalable and Virtualized Accelerator Integration. IEEE Micro 44(4): 97-105 (2024) - [c35]Yakun Sophia Shao:
Next-Generation Domain-Specific Accelerators: From Hardware to System. CICC 2024: 1-5 - [c34]Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Yakun Sophia Shao, Borivoje Nikolic, Koushil Sreenath:
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets. CoRL 2024: 1567-1589 - [c33]Joonho Whangbo, Edwin Lim, Chengyi Lux Zhang, Kevin Anderson, Abraham Gonzalez, Raghav Gupta, Nivedha Krishnakumar, Sagar Karandikar, Borivoje Nikolic, Yakun Sophia Shao, Krste Asanovic:
FireAxe: Partitioned FPGA-Accelerated Simulation of Large-Scale RTL Designs. ISCA 2024: 501-515 - [c32]Vikram Jain, Wei Tang, Zuoguo Wu, Viansa Schmulbach, Yakun Sophia Shao, Zhengya Zhang, Borivoje Nikolic:
Design Approach for Die-to-Die Interfaces to Enable Energy-Efficient Chiplet Systems. ISLPED 2024: 1-6 - [c31]Hasan Nazim Genc, Hansung Kim, Prashanth Ganesh, Yakun Sophia Shao:
Stellar: An Automated Design Framework for Dense and Sparse Spatial Accelerators. MICRO 2024: 409-422 - [c30]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami:
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization. NeurIPS 2024 - [i12]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami:
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization. CoRR abs/2401.18079 (2024) - [i11]Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Yakun Sophia Shao, Borivoje Nikolic, Koushil Sreenath:
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets. CoRR abs/2404.19264 (2024) - [i10]Charles Hong, Sahil Bhatia, Altan Haan, Shengjun Kris Dong, Dima Nikiforov, Alvin Cheung, Yakun Sophia Shao:
LLM-Aided Compilation for Tensor Accelerators. CoRR abs/2408.03408 (2024) - [i9]Hansung Kim, Ruohan Yan, Joshua You, Tieliang Vamber Yang, Yakun Sophia Shao:
Virgo: Cluster-level Matrix Unit Integration in GPUs for Scalability and Energy Efficiency. CoRR abs/2408.12073 (2024) - 2023
- [j10]Masum Hossain, Arijit Raychowdhury, Sanu K. Mathew, Yakun Sophia Shao, Yih Wang:
Guest Editorial Introduction to the Special Issue on the 2022 IEEE International Solid-State Circuits Conference (ISSCC). IEEE J. Solid State Circuits 58(1): 3-7 (2023) - [c29]Seah Kim, Hasan Genc, Vadim Vadimovich Nikiforov, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao:
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks. HPCA 2023: 828-841 - [c28]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:
CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems. ISCA 2023: 39:1-39:17 - [c27]Dima Nikiforov, Shengjun Chris Dong, Chengyi Lux Zhang, Seah Kim, Borivoje Nikolic, Yakun Sophia Shao:
RoSÉ: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation. ISCA 2023: 64:1-64:15 - [c26]Seah Kim, Jerry Zhao, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao:
AuRORA: Virtualized Accelerator Orchestration for Multi-Tenant Workloads. MICRO 2023: 62-76 - [c25]Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao:
DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. MICRO 2023: 209-224 - [d1]Dima Nikiforov, Shengjun Chris Dong, Chengyi Lux Zhang, Seah Kim, Borivoje Nikolic, Yakun Sophia Shao:
RoSÉ: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation. Zenodo, 2023
- [i8]Sehoon Kim, Coleman Hooper, Thanakul Wattanawong, Minwoo Kang, Ruohan Yan, Hasan Genc, Grace Dinh, Qijing Huang, Kurt Keutzer, Michael W. Mahoney, Yakun Sophia Shao, Amir Gholami:
Full Stack Optimization of Transformer Inference: a Survey. CoRR abs/2302.14017 (2023) - [i7]Seah Kim, Hasan Genc, Vadim Vadimovich Nikiforov, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao:
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks. CoRR abs/2305.05843 (2023) - [i6]Yuto Nishida, Sahil Bhatia, Shadaj Laddad, Hasan Genc, Yakun Sophia Shao, Alvin Cheung:
Code Transpilation for Hardware Accelerators. CoRR abs/2308.06410 (2023) - [i5]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Hasan Genc, Kurt Keutzer, Amir Gholami, Yakun Sophia Shao:
SPEED: Speculative Pipelined Execution for Efficient Decoding. CoRR abs/2310.12072 (2023) - 2022
- [j9]Alisha Menon, Anirudh Natarajan, Reva Agashe, Daniel Sun, Melvin Aristio, Harrison Liew, Yakun Sophia Shao, Jan M. Rabaey:
Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata. Brain Informatics 9(1): 14 (2022) - [c24]Qijing Huang, Charles Hong, John Wawrzynek, Mahesh Subedar, Yakun Sophia Shao:
Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design. ISPASS 2022: 277-287 - 2021
- [j8]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:
Simba: scaling deep-learning inference with chiplet-based architecture. Commun. ACM 64(6): 107-116 (2021) - [j7]Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Stephen W. Keckler, Zhengya Zhang:
SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference. IEEE J. Solid State Circuits 56(2): 636-647 (2021) - [c23]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:
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. DAC 2021: 769-774 - [c22]Abraham Gonzalez, Jerry Zhao, Ben Korpan, Hasan Genc, Colin Schmidt, John Charles Wright, Ayan Biswas, Alon Amid, Farhana Sheikh, Anton Sorokin, Sirisha Kale, Mani Yalamanchi, Ramya Yarlagadda, Mark Flannigan, Larry Abramowitz, Elad Alon, Yakun Sophia Shao, Krste Asanovic, Borivoje Nikolic:
A 16mm2 106.1 GOPS/W Heterogeneous RISC-V Multi-Core Multi-Accelerator SoC in Low-Power 22nm FinFET. ESSCIRC 2021: 259-262 - [c21]Qijing Huang, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao:
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. ISCA 2021: 554-566 - [c20]Alon Amid, Albert J. Ou, Krste Asanovic, Yakun Sophia Shao, Borivoje Nikolic:
Vertically Integrated Computing Labs Using Open-Source Hardware Generators and Cloud-Hosted FPGAs. ISCAS 2021: 1-5 - [c19]Jingyi Xu, Sehoon Kim, Borivoje Nikolic, Yakun Sophia Shao:
Memory-Efficient Hardware Performance Counters with Approximate-Counting Algorithms. ISPASS 2021: 226-228 - [i4]Alisha Menon, Anirudh Natarajan, Reva Agashe, Daniel Sun, Melvin Aristio, Harrison Liew, Yakun Sophia Shao, Jan M. Rabaey:
Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata. CoRR abs/2104.02804 (2021) - [i3]Qijing Huang, Minwoo Kang, Grace Dinh, Thomas Norell, Aravind Kalaiah, James Demmel, John Wawrzynek, Yakun Sophia Shao:
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. CoRR abs/2105.01898 (2021) - 2020
- [j6]Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, 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, Stephen W. Keckler, Brucek Khailany:
A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm. IEEE J. Solid State Circuits 55(4): 920-932 (2020) - [j5]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, Yakun Sophia Shao, Krste Asanovic, Borivoje Nikolic:
Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs. IEEE Micro 40(4): 10-21 (2020) - [j4]David A. Patterson, Yakun Sophia Shao:
Commercial Products. IEEE Micro 40(6): 49 (2020) - [c18]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO 2020: 242-255 - [c17]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:
Invited: Chipyard - An Integrated SoC Research and Implementation Environment. DAC 2020: 1-6
2010 – 2019
- 2019
- [c16]Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Clayton Crago, Kartik Hegde, Rangharajan Venkatesan, Stephen W. Keckler, Christopher W. Fletcher, Joel S. Emer:
Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration. ASPLOS 2019: 137-151 - [c15]Rangharajan Venkatesan, Yakun Sophia Shao, Brian Zimmer, Jason Clemons, 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, Stephen W. Keckler, Brucek Khailany:
A 0.11 PJ/OP, 0.32-128 Tops, Scalable Multi-Chip-Module-Based Deep Neural Network Accelerator Designed with A High-Productivity vlsi Methodology. Hot Chips Symposium 2019: 1-24 - [c14]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:
MAGNet: A Modular Accelerator Generator for Neural Networks. ICCAD 2019: 1-8 - [c13]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:
Timeloop: A Systematic Approach to DNN Accelerator Evaluation. ISPASS 2019: 304-315 - [c12]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:
Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. MICRO 2019: 14-27 - [c11]Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, 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, Stephen W. Keckler, Brucek Khailany:
A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm. VLSI Circuits 2019: 300- - [c10]Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Stephen W. Keckler, Zhengya Zhang:
SNAP: A 1.67 - 21.55TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS. VLSI Circuits 2019: 306- - [i2]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR abs/1909.13639 (2019) - [i1]Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Charles Wright, Colin Schmidt, Jerry Zhao, Albert J. Ou, Max Banister, Yakun Sophia Shao, Borivoje Nikolic, Ion Stoica, Krste Asanovic:
Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. CoRR abs/1911.09925 (2019) - 2018
- [j3]Martha A. Kim, Yakun Sophia Shao:
Hardware Acceleration. IEEE Micro 38(6): 6-7 (2018) - [j2]Rafael Garibotti, Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks:
Assisting High-Level Synthesis Improve SpMV Benchmark Through Dynamic Dependence Analysis. IEEE Trans. Circuits Syst. II Express Briefs 65-II(10): 1440-1444 (2018) - [c9]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:
A modular digital VLSI flow for high-productivity SoC design. DAC 2018: 72:1-72:6 - 2017
- [c8]Rafael Garibotti, Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks:
Using dynamic dependence analysis to improve the quality of high-level synthesis designs. ISCAS 2017: 1-4 - [c7]Brandon Reagen, Yakun Sophia Shao, Sam Likun Xi, Gu-Yeon Wei, David Brooks:
Methods and infrastructure in the era of accelerator-centric architectures. MWSCAS 2017: 902-905 - 2016
- [c6]Yakun Sophia Shao, Sam Likun Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David M. Brooks:
Co-designing accelerators and SoC interfaces using gem5-Aladdin. MICRO 2016: 48:1-48:12 - 2015
- [b1]Yakun Sophia Shao, David M. Brooks:
Research Infrastructures for Hardware Accelerators. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2015, ISBN 978-3-031-00622-7 - [j1]Yakun Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
The Aladdin Approach to Accelerator Design and Modeling. IEEE Micro 35(3): 58-70 (2015) - 2014
- [c5]Brandon Reagen, Robert Adolf, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks:
MachSuite: Benchmarks for accelerator design and customized architectures. IISWC 2014: 110-119 - [c4]Yakun Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Aladdin: A pre-RTL, power-performance accelerator simulator enabling large design space exploration of customized architectures. ISCA 2014: 97-108 - 2013
- [c3]Yakun Sophia Shao, David M. Brooks:
Energy characterization and instruction-level energy model of Intel's Xeon Phi processor. ISLPED 2013: 389-394 - [c2]Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks:
Quantifying acceleration: Power/performance trade-offs of application kernels in hardware. ISLPED 2013: 395-400 - [c1]Yakun Sophia Shao, David M. Brooks:
ISA-independent workload characterization and its implications for specialized architectures. ISPASS 2013: 245-255
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-07-31 23:48 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
