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Bangtian Liu
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2020 – today
- 2024
- [j1]Avery Laird
, Bangtian Liu
SpEQ: Translation of Sparse Codes using Equivalences. Proc. ACM Program. Lang. 8(PLDI): 1680-1703 (2024) - 2022
- [c8]Bangtian Liu, Avery Laird, Wai Hung Tsang, Bardia Mahjour, Maryam Mehri Dehnavi:
Combining Run-Time Checks and Compile-Time Analysis to Improve Control Flow Auto-Vectorization. PACT 2022: 439-450 - [c7]Behrooz Zarebavani, Kazem Cheshmi, Bangtian Liu, Michelle Mills Strout, Maryam Mehri Dehnavi:
HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations. IPDPS 2022: 1217-1227 - 2020
- [c6]Bangtian Liu, Kazem Cheshmi, Saeed Soori, Michelle Mills Strout, Maryam Mehri Dehnavi:
MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation. PPoPP 2020: 389-402
2010 – 2019
- 2018
- [c5]Zachary Blanco, Bangtian Liu, Maryam Mehri Dehnavi:
CSTF: Large-Scale Sparse Tensor Factorizations on Distributed Platforms. ICPP 2018: 21:1-21:10 - [i2]Bangtian Liu, Kazem Cheshmi, Saeed Soori, Maryam Mehri Dehnavi:
MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations. CoRR abs/1812.07152 (2018) - 2017
- [c4]Bangtian Liu, Chengyao Wen, Anand D. Sarwate
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CLUSTER 2017: 47-57 - [c3]Yan Zhang, Weiwei Yang, Bangtian Liu, Ge-Yang Ke, Yan Pan, Jian Yin:
Multi-view Spectral Clustering via Tensor-SVD Decomposition. ICTAI 2017: 493-497 - [i1]Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi:
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CoRR abs/1705.09905 (2017) - 2016
- [c2]Jiahe Liu, Bangtian Liu, Haohuan Fu:
Optimizing Residue Number System on FPGA. iThings/GreenCom/CPSCom/SmartData 2016: 621-624 - 2015
- [c1]Bangtian Liu, Haohuan Fu, Lin Gan, Wenlai Zhao, Guangwen Yang:
Optimizing Residue Number Reverse Converters through Bitwise Arithmetic on FPGAs. FCCM 2015: 236-243
Coauthor Index
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last updated on 2024-11-25 23:40 CET by the dblp team
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