| Online Data Analysis and Reduction: An Important Co-design Motif for Extreme-scale Computers I Foster, M Ainsworth, J Bessac, F Cappello, J Choi, S Di, Z Di, AM Gok, ... International Journal of High Performance Computing Applications, 1-19, 2021 | 17 | 2021 |
| Scaling Deep Learning for Cancer with Advanced Workflow Storage Integration JM Wozniak, P Davis, T Shu, J Ozik, N Collier, I Foster, T Brettin, ... Proc. of the 4th Workshop on Machine Learning in HPC Environments in …, 2018 | 16 | 2018 |
| Energy-efficient Mapping of Large-scale Workflows under Deadline Constraints in Big Data Computing Systems T Shu, C Wu Future Generation Computing Systems 110, 515-530, 2020 | 15 | 2020 |
| A Performance Evaluation Model for RSS-based Vertical Handoff Algorithms T Shu, M Liu, Z Li Computers and Communications, 2009. ISCC 2009. IEEE Symposium on, 271-276, 2009 | 15 | 2009 |
| Bootstrapping In-Situ Workflow Auto-Tuning via Combining Performance Models of Component Applications T Shu, Y Guo, J Wozniak, X Ding, I Foster, T Kurc ACM/IEEE International Conference for High Performance Computing, Networking …, 2021 | 14 | 2021 |
| Performance Optimization of Hadoop Workflows in Public Clouds through Adaptive Task Partitioning T Shu, CQ Wu Computer Communications (INFOCOM), 2017, IEEE 36th International Conference …, 2017 | 13 | 2017 |
| MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows JM Wozniak, M Dorier, R Ross, T Shu, T Kurc, L Tang, N Podhorszki, ... Future Generation Computer Systems 101, 576-589, 2019 | 12 | 2019 |
| Advance Bandwidth Reservation for Energy Efficiency in High-performance Networks T Shu, CQ Wu, D Yun Local Computer Networks (LCN), 2013 IEEE 38th Conference on, 541-548, 2013 | 9 | 2013 |
| Energy-efficient Dynamic Scheduling of Deadline-constrained MapReduce Workflows T Shu, CQ Wu 13th IEEE International Conference on eScience, 2017 | 8 | 2017 |
| Energy-efficient Mapping of Big Data Workflows under Deadline Constraints T Shu, CQ Wu 11th Workshop on Workflows in Support of Large-Scale Science (WORKS) in …, 2016 | 7 | 2016 |
| In-situ Workflow Auto-tuning through Combining Component Models T Shu, Y Guo, J Wozniak, X Ding, I Foster, T Kurc Proc. of 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel …, 2021 | 5 | 2021 |
| In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications T Shu, Y Guo, J Wozniak, X Ding, T Foster, Ian, Kurc arXiv preprint arXiv:2008.06991, 2020 | 5 | 2020 |
| Bandwidth Scheduling for Energy Efficiency in High-performance Networks T Shu, CQ Wu IEEE Transactions on Communications, 1-15, 2017 | 5 | 2017 |
| Performance Optimization and Energy Efficiency of Big-data Computing Workflows T Shu New Jersey Institute of Technology, 2017 | 4 | 2017 |
| Network-layer Soft Vertical Handoff Schemes without Packet Reordering T Shu, M Liu, Z Li, K Zheng Local Computer Networks, 2009. LCN 2009. IEEE 34th Conference on, 285-288, 2009 | 4 | 2009 |
| Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations Y Zhang, D Pandey, D Wu, T Kundu, R Li, T Shu Workshops of ACM/IEEE International Conference for High Performance …, 2023 | 2 | 2023 |
| HIOS: Hierarchical Inter-Operator Scheduler for Real-Time Inference of DAG-Structured Deep Learning Models on Multiple GPUs T Kundu, T Shu IEEE International Conference on Cluster Computing, 1-12, 2023 | 2 | 2023 |
| Exploiting the Full Potential of Multi-AP Diversity in Centralized WLANs through Back-pressure Scheduling A Zhou, M Liu, T Shu, Y Song, Z Li Local Computer Networks (LCN), 2011 IEEE 36th Conference on, 501-509, 2011 | 2 | 2011 |
| Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices Y Li, J Baik, MM Rahman, I Anagnostopoulos, R Li, T Shu Workshops of ACM/IEEE International Conference for High Performance …, 2023 | 1 | 2023 |
| Interference Pair-based Distributed Spectrum Allocation in Wireless Mesh Networks with Frequency-agile Radios T Shu, M Liu, Z Li, Q Wu Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2011 8th Annual …, 2011 | 1 | 2011 |
Chase Qishi WuProfessor of Computer Science, New Jersey Institute of TechnologyDirección de correo verificada de njit.edu
