Jianyu Huang

Research Scientist
Facebook, Inc.
1 Hacker Way, Menlo Park, CA 94025
Email: hjyahead [AT] gmail [DOT] com

I am a Research Scientist at Facebook. My interests lie in improving the performance of machine learning applications and simplifying the programming model for parallel computing. Before joining Facebook, I was a PhD student in SHPC group, advised by Prof. Robert van de Geijn.

What's New


Publications


    Practical Fast Matrix Multiplication Algorithms [PDF] [BibTex]
    Jianyu Huang
    PhD thesis, The University of Texas at Austin, 2018.

    Implementing Strassen’s Algorithm with CUTLASS on NVIDIA Volta GPUs [PDF] [BibTex]
    Jianyu Huang, Chenhan D. Yu, Robert A. van de Geijn
    FLAME Working Note #88, The University of Texas at Austin, Department of Computer Science. Technical Report TR-18-08. August 23, 2018.

    Learning from Optimizing Matrix-Matrix Multiplication [PDF] [BibTex]
    Devangi N. Parikh, Jianyu Huang, Margaret E. Myers, Robert A. van de Geijn
    in 8th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-18), co-located with IPDPS18, Vancouver, British Columbia, Canada, 2018.

    Strassen's Algorithm for Tensor Contraction [PDF] [BibTex]
    Jianyu Huang, Devin A. Matthews, Robert A. van de Geijn
    in SIAM Journal on Scientific Computing (SISC), 40(3):C305-C326, 2018.

    Lowering Barriers into HPC through Open Education [PDF] [BibTex]
    Robert A. van de Geijn, Jianyu Huang, Margaret E. Myers, Devangi N. Parikh, Tyler M. Smith
    in Workshop on Education for High Performance Computing (EduHPC), co-located with SC17, Denver, CO, November 2017.

    Generating Families of Practical Fast Matrix Multiplication Algorithms [PDF] [BibTex] [Code] [Artifact] [PPTX]
    Jianyu Huang, Leslie Rice, Devin A. Matthews, Robert A. van de Geijn
    in 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS17), Orlando, FL, May 29-June 2, 2017.

    Strassen's Algorithm Reloaded [PDF] [BibTex] [Code] [PPTX]
    Jianyu Huang, Tyler M. Smith, Greg M. Henry, Robert A. van de Geijn
    in The International Conference for High Performance Computing, Networking, Storage and Analysis (SC16), Salt Lake City, UT, November 2016.

    BLISlab: A Sandbox for Optimizing GEMM [PDF] [BibTex] [Code]
    Jianyu Huang, Robert A. van de Geijn
    FLAME Working Note #80, The University of Texas at Austin, Department of Computer Science. Technical Report TR-16-13. August 31, 2016.

    Performance Optimization for the K-Nearest Neighbors Kernel on x86 Architectures [PDF] [BibTex] [Code]
    Chenhan D. Yu, Jianyu Huang, Woody Austin, Bo Xiao, George Biros
    in The International Conference for High Performance Computing, Networking, Storage and Analysis (SC15), Austin, TX, November 2015.

Posters


    Strassen's Algorithm for Tensor Contraction [PDF] (with Devin A. Matthews and Robert A. van de Geijn)
    in The International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), Denver, CO, November 2017.

    High-performance Primitives for Machine Learning Targeting Mobile Platforms (with Chenhan D. Yu)
    in Qualcomm Fellowship Finalist Presentation, San Diego, CA, March 2016.

Presentations


    Strassen's Algorithm for Tensor Contraction [PPTX,PDF]
    in BLIS Retreat 2017, Austin, TX, September 2017.

    Strassen's Algorithm for Tensor Contraction [PPTX,PDF]
    in Tensor Computation Workshop, New York City, NY, September 2017.

    Generating Families of Practical Fast Matrix Multiplication Algorithms [PPTX,PDF]
    in IPDPS17, Orlando, FL, May 31st, 2017.

    Strassen's Algorithm Reloaded [PPTX,PDF]
    in SC16, Salt Lake City, UT, November 16th, 2016.

    Implementing Strassen-like Fast Matrix Multiplication Algorithms with BLIS [PPTX,PDF] (with Leslie Rice)
    in BLIS Retreat 2016, Austin, TX, September 2016.

    High-performance Primitives for Machine Learning Targeting Mobile Platforms (with Chenhan D. Yu)
    in Qualcomm Fellowship Finalist Presentation, San Diego, CA, March 2016.

    Adding Efficient Scheduling Policy into SuperMatrix on Heterogeneous Platforms [PPTX,PDF]
    in BLIS Retreat 2015, Austin, TX, September 2015.

Teaching

Internships

Interests

I like bicycling, swimming, jogging, reading and traveling. There is a famous Chinese proverb: Walk ten thousand miles; Read ten thousand books.

Last updated 11/28/2016