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2020 – today
- 2022
[c10]Milan Shah
, Reece Neff, Hancheng Wu, Marco Minutoli, Antonino Tumeo, Michela Becchi:
Accelerating Random Forest Classification on GPU and FPGA. ICPP 2022: 4:1-4:11- 2021
- [c9]Senlin Fang, Tingting Mi, Zhenning Zhou, Chaoxiang Ye, Chengliang Liu, Hancheng Wu, Zhengkun Yi, Xinyu Wu:
TactCapsNet: Tactile Capsule Network for Object Hardness Recognition. RCAR 2021: 1128-1133 - 2020
- [c8]Xiang Liu, Hancheng Wu, Senlin Fang, Zhengkun Yi, Xinyu Wu:
Multimodal Surface Material Classification Based on Ensemble Learning with Optimized Features. HealthCom 2020: 1-6 - [c7]Hancheng Wu, Michela Becchi:
Evaluating Thread Coarsening and Low-cost Synchronization on Intel Xeon Phi. IPDPS 2020: 1018-1029
2010 – 2019
- 2018
- [c6]Hancheng Wu, John Ravi, Michela Becchi:
Compiling SIMT Programs on Multi- and Many-Core Processors with Wide Vector Units: A Case Study with CUDA. HiPC 2018: 123-132 - [c5]Marziyeh Nourian, Hancheng Wu, Michela Becchi:
A Compiler Framework for Fixed-Topology Non-Deterministic Finite Automata on SIMD Platforms. ICPADS 2018: 507-516 - 2017
- [c4]Hancheng Wu, Michela Becchi:
An Analytical Study of Recursive Tree Traversal Patterns on Multi- and Many-Core Platforms. ICPADS 2017: 586-595 - 2016
- [c3]Hancheng Wu, Da Li, Michela Becchi:
Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU. IPDPS 2016: 534-543 - [i1]Hancheng Wu, Da Li, Michela Becchi:
Compiler-Assisted Workload Consolidation For Efficient Dynamic Parallelism on GPU. CoRR abs/1606.08150 (2016) - 2015
- [c2]Da Li, Hancheng Wu, Michela Becchi:
Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs. COSMIC@CGO 2015: 5:1 - [c1]Da Li, Hancheng Wu, Michela Becchi:
Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations. ICPP 2015: 979-988
Coauthor Index
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