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Yao Xiao
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Self-optimizing and self-programming computing systems: A combined compiler, complex networks, and machine learning approach
Y Xiao, S Nazarian, P Bogdan
IEEE transactions on very large scale integration (VLSI) systems 27 (6 …, 2019
852019
A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach
Y Xiao, Y Xue, S Nazarian, P Bogdan
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 217-224, 2017
572017
Accelerating coverage directed test generation for functional verification: A neural network-based framework
F Wang, H Zhu, P Popli, Y Xiao, P Bodgan, S Nazarian
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 207-212, 2018
422018
Prometheus: Processing-in-memory heterogeneous architecture design from a multi-layer network theoretic strategy
Y Xiao, S Nazarian, P Bogdan
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018
302018
Plasticity-on-chip design: Exploiting self-similarity for data communications
Y Xiao, S Nazarian, P Bogdan
IEEE Transactions on Computers 70 (6), 950-962, 2021
232021
A stochastic quantum program synthesis framework based on Bayesian optimization
Y Xiao, S Nazarian, P Bogdan
Scientific Reports 11 (1), 13138, 2021
102021
A distributed graph-theoretic framework for automatic parallelization in multi-core systems
G Ma, Y Xiao, T Willke, N Ahmed, S Nazarian, P Bogdan
Proceedings of Machine Learning and Systems 3, 550-568, 2021
102021
Self-optimizing and self-programming computing systems: a combined compiler, complex networks, and machine learning approach
PB Bogdan, S Nazarian, Y Xiao
US Patent App. 16/990,391, 2021
82021
A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach. In 2017 IEEE
Y Xiao, Y Xue, S Nazarian, P Bogdan
ACM International Conference on Computer-Aided Design (ICCAD), 217-224, 0
7
Learning code representations using multifractal-based graph networks
G Ma, Y Xiao, M Capotă, TL Willke, S Nazarian, P Bogdan, NK Ahmed
2021 IEEE International Conference on Big Data (Big Data), 1858-1866, 2021
62021
A design methodology for energy-aware processing in unmanned aerial vehicles
J He, Y Xiao, C Bogdan, S Nazarian, P Bogdan
ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (1 …, 2021
52021
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems
P Bogdan, F Chen, A Deshwal, JR Doppa, BK Joardar, H Li, S Nazarian, ...
Proceedings of the International Conference on Hardware/Software Codesign …, 2019
42019
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems
G Ma, Y Xiao, TL Willke, NK Ahmed, S Nazarian, P Bogdan
arXiv preprint arXiv:2010.04414, 2020
32020
Structural Code Representation Learning for Auto-Vectorization
Y Xiao, N Ahmed, M Capotă, G Ma, TL Willke, S Nazarian, P Bogdan
22022
End-to-end mapping in heterogeneous systems using graph representation learning
Y Xiao, G Ma, NK Ahmed, M Capota, T Willke, S Nazarian, P Bogdan
arXiv preprint arXiv:2204.11981, 2022
12022
GAHLS: an optimized graph analytics based high level synthesis framework
Y Xiao, S Nazarian, P Bogdan
Scientific Reports 13 (1), 22655, 2023
2023
End-to-end programmable computing systems
Y Xiao, G Ma, NK Ahmed, M Capotă, TL Willke, S Nazarian, P Bogdan
Communications Engineering 2 (1), 84, 2023
2023
Prometheus: processing-in-memory heterogenous architecture design from a multi-layer network theoretic strategy
PB Bogdan, S Nazarian, Y Xiao
US Patent 11,436,258, 2022
2022
Design Methodology for Energy Efficient Unmanned Aerial Vehicles
J He, Y Xiao, C Bogdan, S Nazarian, P Bogdan
arXiv preprint arXiv:1909.11238, 2019
2019
DEEP GRAPH LEARNING FOR PROGRAM ANALYSIS AND SYSTEM OPTIMIZATION
Y Xiao, G Ma, NK Ahmed, TL Willke, S Nazarian, P Bogdan
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Articles 1–20