Kaixi Hou

According to our database, Kaixi Hou authored at least 20 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations.

Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Zhou Jin, Weifeng Liu, Brian Vinter

Int. J. Parallel Program., 2021

2020

Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations.

Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Weifeng Liu, Brian Vinter

Proceedings of the Network and Parallel Computing, 2020

A Feasibility Study for MPI over HDFS.

Wu-chun Feng, Da Zhang, Jing Zhang, Kaixi Hou, Sarunya Pumma, Hao Wang

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

SEP-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU.

Hao Wang, Liang Geng, Rubao Lee, Kaixi Hou, Yanfeng Zhang, Xiaodong Zhang

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

2018

Exploring Performance Portability for Accelerators via High-level Parallel Patterns.

Kaixi Hou

PhD thesis, 2018

A Framework for the Automatic Vectorization of Parallel Sort on x86-Based Processors.

Kaixi Hou, Hao Wang, Wu-Chun Feng

IEEE Trans. Parallel Distributed Syst., 2018

Highly Efficient Compensation-Based Parallelism for Wavefront Loops on GPUs.

Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, Seyong Lee

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels.

Ang Li, Weifeng Liu, Mads Ruben Burgdorff Kristensen, Brian Vinter, Hao Wang, Kaixi Hou, Andres Marquez, Shuaiwen Leon Song

Proceedings of the International Conference for High Performance Computing, 2017

Auto-Tuning Strategies for Parallelizing Sparse Matrix-Vector (SpMV) Multiplication on Multi- and Many-Core Processors.

Kaixi Hou, Wu-chun Feng, Shuai Che

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

A framework for fast and fair evaluation of automata processing hardware.

Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

Fast segmented sort on GPUs.

Kaixi Hou, Weifeng Liu, Hao Wang, Wu-chun Feng

Proceedings of the International Conference on Supercomputing, 2017

GPU-UniCache: Automatic Code Generation of Spatial Blocking for Stencils on CPUs.

Kaixi Hou, Hao Wang, Wu-chun Feng

Proceedings of the Computing Frontiers Conference, 2017

Robotomata: A framework for approximate pattern matching of big data on an automata processor.

Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

AAlign: A SIMD Framework for Pairwise Sequence Alignment on x86-Based Multi-and Many-Core Processors.

Kaixi Hou, Hao Wang, Wu-chun Feng

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Parallel Transposition of Sparse Data Structures.

Hao Wang, Weifeng Liu, Kaixi Hou, Wu-chun Feng

Proceedings of the 2016 International Conference on Supercomputing, 2016

2015

ASPaS: A Framework for Automatic SIMDization of Parallel Sorting on x86-based Many-core Processors.

Kaixi Hou, Hao Wang, Wu-chun Feng

Proceedings of the 29th ACM on International Conference on Supercomputing, 2015

pDindel: Accelerating indel detection on a multicore CPU architecture with SIMD.

Da Zhang, Hao Wang, Kaixi Hou, Jing Zhang, Wu-chun Feng

Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

2014

Delivering Parallel Programmability to the Masses via the Intel MIC Ecosystem: A Case Study.

Kaixi Hou, Hao Wang, Wu-chun Feng

Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

2011

The Research of Levenberg-Marquardt Algorithm in Curve Fittings on Multiple GPUs.

Lingjie Zhang, Ying Zhao, Kaixi Hou

Proceedings of the IEEE 10th International Conference on Trust, 2011

Performance Evaluation of the Three-Dimensional Finite-Difference Time-Domain(FDTD) Method on Fermi Architecture GPUs.

Kaixi Hou, Ying Zhao, Jiumei Huang, Lingjie Zhang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2011