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Kaixi Hou
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2020 – today
- 2021
- [j2]Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Zhou Jin, Weifeng Liu, Brian Vinter:
Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. Int. J. Parallel Program. 49(5): 732-744 (2021) - 2020
- [c17]Wu-chun Feng, Da Zhang, Jing Zhang, Kaixi Hou, Sarunya Pumma, Hao Wang:
A Feasibility Study for MPI over HDFS. HPEC 2020: 1-7 - [c16]Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Weifeng Liu, Brian Vinter:
Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. NPC 2020: 170-181
2010 – 2019
- 2019
- [c15]Hao Wang, Liang Geng, Rubao Lee, Kaixi Hou, Yanfeng Zhang, Xiaodong Zhang:
SEP-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU. PPoPP 2019: 38-52 - 2018
- [b1]Kaixi Hou:
Exploring Performance Portability for Accelerators via High-level Parallel Patterns. Virginia Tech, Blacksburg, VA, USA, 2018 - [j1]Kaixi Hou, Hao Wang, Wu-Chun Feng:
A Framework for the Automatic Vectorization of Parallel Sort on x86-Based Processors. IEEE Trans. Parallel Distributed Syst. 29(5): 958-972 (2018) - [c14]Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, Seyong Lee:
Highly Efficient Compensation-Based Parallelism for Wavefront Loops on GPUs. IPDPS 2018: 276-285 - 2017
- [c13]Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng:
Robotomata: A framework for approximate pattern matching of big data on an automata processor. IEEE BigData 2017: 283-292 - [c12]Kaixi Hou, Hao Wang, Wu-chun Feng:
GPU-UniCache: Automatic Code Generation of Spatial Blocking for Stencils on CPUs. Conf. Computing Frontiers 2017: 107-116 - [c11]Kaixi Hou, Weifeng Liu, Hao Wang, Wu-chun Feng:
Fast segmented sort on GPUs. ICS 2017: 12:1-12:10 - [c10]Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng:
A framework for fast and fair evaluation of automata processing hardware. IISWC 2017: 120-121 - [c9]Kaixi Hou, Wu-chun Feng, Shuai Che:
Auto-Tuning Strategies for Parallelizing Sparse Matrix-Vector (SpMV) Multiplication on Multi- and Many-Core Processors. IPDPS Workshops 2017: 713-722 - [c8]Ang Li, Weifeng Liu, Mads Ruben Burgdorff Kristensen, Brian Vinter, Hao Wang, Kaixi Hou, Andres Marquez, Shuaiwen Leon Song:
Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels. SC 2017: 26 - 2016
- [c7]Hao Wang, Weifeng Liu, Kaixi Hou, Wu-chun Feng:
Parallel Transposition of Sparse Data Structures. ICS 2016: 33:1-33:13 - [c6]Kaixi Hou, Hao Wang, Wu-chun Feng:
AAlign: A SIMD Framework for Pairwise Sequence Alignment on x86-Based Multi-and Many-Core Processors. IPDPS 2016: 780-789 - 2015
- [c5]Da Zhang, Hao Wang, Kaixi Hou, Jing Zhang, Wu-chun Feng:
pDindel: Accelerating indel detection on a multicore CPU architecture with SIMD. ICCABS 2015: 1-6 - [c4]Kaixi Hou, Hao Wang, Wu-chun Feng:
ASPaS: A Framework for Automatic SIMDization of Parallel Sorting on x86-based Many-core Processors. ICS 2015: 383-392 - 2014
- [c3]Kaixi Hou, Hao Wang, Wu-chun Feng:
Delivering Parallel Programmability to the Masses via the Intel MIC Ecosystem: A Case Study. ICPP Workshops 2014: 273-282 - 2011
- [c2]Kaixi Hou, Ying Zhao, Jiumei Huang, Lingjie Zhang:
Performance Evaluation of the Three-Dimensional Finite-Difference Time-Domain(FDTD) Method on Fermi Architecture GPUs. ICA3PP (1) 2011: 460-469 - [c1]Lingjie Zhang, Ying Zhao, Kaixi Hou:
The Research of Levenberg-Marquardt Algorithm in Curve Fittings on Multiple GPUs. TrustCom 2011: 1355-1360
Coauthor Index
aka: Wu-Chun Feng
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