Welcome!
My name is Ching-Hsiang Chu

I was born in a beautiful country Taiwan. I am a Research Scientist in Meta (formally Facebook) since August 2020. Prior to it, I received my Ph.D. degree in Computer Science and Engineering from The Ohio State University (OSU CSE). During my Ph.D., I was a member of Network-based Computing Lab (NOWLAB) led by Prof. D. K. Panda. I have authored and co-authored more than 30 peer-reviewed papers in the field of High-Performance Computing. I received my B.S. and M.S. degree in Computer Science and Information Engineering from National Changhua University of Education (NCUE, Taiwan) in 2010 and National Central University (NCU, Taiwan) in 2012, respectively. Please find my CV here to learn more.

About me

Education

Doctor of Philosophy (PhD), 2014-2020
Computer science and engineering,The Ohio State University, Columbus, OH, USA.
Dissertation: "Accelerator-enabled Communication Middleware for Large-scale Heterogeneous HPC Systems with Modern Interconnects, " July, 2020.
Advisor: Dr. Dhabaleswar K. Panda
Master of Science (MS), 2010-2012
Computer science and information engineering, National Central University, Taiwan.
Thesis: "Jitter-based TCP for Incast Communication on Data Center Networks", July, 2012.
Advisor: Dr. Eric Hsiao-Kuang Wu
Bachelor of Science (BS), 2006-2010
Computer science and information engineering, National Changhua University of Education, Taiwan.

Research interests

High-performance Computing (HPC), GPU networking, Deep Learning and Wireless Networking

Professional skills

C\C++, Java, Lisp, Unix-like\Linux programming, Parallel programming (CUDA, MPI, OpenMP), Hadoop programming(MapReduce), Network Simulation (NS2)

Experience

Work

Research Scientist, 08/2020-Present
AI System HW/SW Co-design team, Meta (formally Facebook), Menlo Park, CA, USA.

Graduate Research Associate, 08/2018-08/2020
Department of computer science and engineering,The Ohio State University, Columbus, OH, USA.
Advisor: Dr. DK Panda
I was the active developer of the CUDA-Aware MPI library in MVAPICH project.

Software Intern, 05/2018-08/2018
GPU Communication team, NVIDIA Corp., Santa Clara, CA, USA.

Graduate Research Associate, 01/2015-05/2018
Department of computer science and engineering,The Ohio State University, Columbus, OH, USA.
Advisor: Dr. DK Panda
I was the active developer of the CUDA-Aware MPI library in MVAPICH project.

Research Assistant, 08/2013-07/2014
Institue of Information Science, Academia Sinica, Taiwan.
Supervisor: Dr. Ling-Jyh Chen

Corporal of artillery, 08/2012-07/2013
Army of Republic of China (R.O.C.), Matsu, Taiwan.

* Please visit my LinkedIn for more details.
View Ching-Hsiang Chu's profile on LinkedIn

Selected Publications

Google Scholar Citations, Full List

Journal

  1. Dhabaleswar K. (DK) Panda, Hari Subramoni, Ching-Hsiang Chu and Mohammadreza Bayatpour, "The MVAPICH Project: Transforming Research into High-Performance MPI Library for HPC Community," in Journal of Computational Science, Special issue on Translational Computer Science, Vol 52, 2021. (2019 Impact Factor: 2.644)
  2. Ammar Ahmad Awan, Arpan Jain, Ching-Hsiang Chu, Hari Subramoni and Dhabaleswar K. (DK) Panda, "Communication Profiling and Characterization of Deep Learning Workloads on Clusters with High-Performance Interconnects," in IEEE Micro, vol. 40, no. 1, pp. 35-43, 1 Jan.-Feb. 2020, doi: 10.1109/MM.2019.2949986. (2019 Impact Factor: 3.172)
  3. Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Bracy Elton, Dhabaleswar K. (DK) Panda, "Exploiting Hardware Multicast and GPUDirect RDMA for Efficient Broadcast," in IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 30, no. 3, pp. 575-588, 1 March 2019. (2019 Impact Factor: 2.6)
  4. Min-Te Sun, Ching-Hsiang Chu, Eric Hsiao-Kuang Wu, Chi-Sen Hsiao, and Andy An-Kai Jeng, "Distributed Topology Control for Energy-Efficient and Reliable Wireless Communications," IEEE Systems Journal, vol. 12, no. 3, pp. 2152-2161, Sept. 2018. doi: 10.1109/JSYST.2017.2673830. (2018 Impact Factor: 4.463)
  5. Min-Te Sun, Ching-Hsiang Chu, Eric Hsiao-Kuang Wu, and Chi-Sen Hsiao, "Efficient Articulation Point Collaborative Exploration for Reliable Communications in Wireless Sensor Networks," in IEEE Sensors Journal, vol. 16, no. 23, pp. 8578-8588, Dec.1, 2016. (2016 Impact Factor: 2.512, 2016 Acceptance rate: 33%)

Conference/Workshop

  1. Qinghua Zhou, Ching-Hsiang Chu, N. Senthil Kumar, P. Kousha, Hari Subramoni and D. K. Panda, "Designing High-Performance MPI Libraries with On-the-fly Compression for Modern GPU Clusters, " 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Portland, Oregon USA, May 17-21, 2021. (Best Paper)
  2. Ching-Hsiang Chu, Kawthar Shafie Khorassani, Qinghua Zhou, Hari Subramoni and D. K. Panda, "Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters, " IEEE CLUSTER 2020, Kobe, Japan (ONLINE due to COVID-19), Sep. 14-17, 2020. (Acceptance rate: 24%, 32/132 full paper)
  3. Ching-Hsiang Chu, Pouya Kousha, Ammar Awan, Kawthar Shafie Khorassani, Hari Subramoni and D. K. Panda, "NV-Group: Link-Efficient Reductions for Distributed Deep Learning on Modern Dense GPU Systems, " The 34th ACM International Conference on Supercomputing (ICS-2020), Barcelona, Spain (ONLINE due to COVID-19), June 29 - July 2, 2020. (Acceptance rate: 30%, 40/132)
  4. Ching-Hsiang Chu, Jahanzeb Hashmi, Kawthar Shafie Khorassani, Hari Subramoni and D. K. Panda, "High-Performance Adaptive MPI Derived Datatype Communication for Modern Multi-GPU Systems, " 26th IEEE International Conference on High Performance Computing, Data, Analytics and Data Science (HiPC '19), Hyderabad, India, Dec 17-20, 2019. (Acceptance rate: 23%, 39/171)
  5. Jie Zhang, Xiaoyi Lu, Ching-Hsiang Chu, and D. K. Panda "C-GDR: High-Performance Container-aware GPUDirect MPI Communication Schemes on RDMA Networks, " 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS '19), Rio de Janeiro, Brazil, May 20-24, 2019. (Acceptance rate: 27.7%, 103/372)
  6. Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Jahanzeb Hashmi, Bracy Elton and Dhabaleswar Panda, "Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning, " The 46th International Conference on Parallel Processing (ICPP 2017), Bristol, UK, Aug 14-17, 2017. (Acceptance rate: 28.4%)
  7. Ching-Hsiang Chu, Kaled Hamidouche, Hari Subramoni, Akshay Venkatesh, Bracy Elton, and Dhabaleswar K. Panda, "Designing High Performance Heterogeneous Broadcast for Streaming Applications on GPU Clusters, " 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'16), Los Angeles, CA, USA, Oct. 26-28, 2016. (Acceptance rate: 35%, 27/77)
  8. Ching-Hsiang Chu, Kaled Hamidouche, Akshay Venkatesh, Dip Sankar Banerjee, Hari Subramoni, and Dhabaleswar K. Panda, "Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-enabled Systems, " 30th IEEE International Parallel & Distributed Processing Symposium (IEEE IPDPS 2016), Chicago, IL, USA, May 23-27, 2016. (Acceptance rate: 23%, 114/496)
  9. Ching-Hsiang Chu, Kaled Hamidouche, Akshay Venkatesh, Ammar Ahmad Awan, and Dhabaleswar K. Panda, "CUDA Kernel based Collective Reduction Operations on Large-scale GPU Clusters, " 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (IEEE/ACM CCGrid 2016), Cartagena, Colombia, May 16-19, 2016. (Acceptance rate: ~20%)
  10. Ching-Hsiang Chu, You-Ming Chen, Yu-Te Huang, Roberto Carvalho, Chiun-Chieh Hsu, and Ling-Jyn Chen, "Measurement of Long-distance Wi-Fi Connections: An Empirical Study, " 2014 IEEE International Conference on Communications - Mobile and Wireless Networking Symposium (ICC'14 MWN), Sydney, Australia, June 10-14, 2014. doi:10.1109/ICC.2014.6883685 (Presenter)(Acceptance rate: 38%, 995/2608)

Poster/Demo

  1. Ching-Hsiang Chu and Dhabaleswar Panda, “Efficient and Scalable Communication Middleware for Emerging Dense-GPU Clusters, ” The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'19), Denver, CO, USA, Nov. 18-21, 2019. (Doctoral Showcase with TCHPC Travel Award)
  2. Ching-Hsiang Chu and Dhabaleswar Panda, “High-Performance and Scalable Broadcast Schemes for Deep Learning on GPU Clusters, ” The International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), Denver, CO, USA, Nov. 12-17, 2017. (ACM Student Research Competition Poster with Travel Award) (Acceptance rate: 47.5%, 28/59)
  3. Roberto Carvalho, Ching-Hsiang Chu and Ling-Jyh Chen*, “IVC: Imperceptible Video Communication, ” The 15th Annual International Workshop on Mobile Computing Systems and Applications (ACM HotMobile 2014), Santa Barbara, CA, USA, February 26-27, 2014. (Demo)

Dissertation

  1. Ching-Hsiang Chu, "Accelerator-enabled Communication Middleware for Large-scale Heterogeneous HPC Systems with Modern Interconnects, " July, 2020.

Contact

E-mail

chu.368_AT_osu.edu

Social Networks