Graph Challenge Champions

2021 Champions

  • Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration - Jie Xin, Xianqi Ye, Long Zheng, Qinggang Wang, Yu Huang, Pengcheng Yao, Linchen Yu, Xiaofei Liao, Hai Jin (Huazhong University of Science and Technology)
  • Faster Stochastic Block Partition using Aggressive Initial Merging, Compressed Representation, and Parallelism Control - Ahsen J Uppal, Jaeseok Choi (George Washington Univ.), Thomas Rolinger (Univ. of Maryland College Park), H. Howie Huang (George Washington Univ.)

2021 Innovation Awards

  • Towards Distributed Square Counting in Large Graphs - Trevor Steil, Geoffrey Sanders, Roger Pearce (Lawrence Livermore National Laboratory)
  • Sparse Deep Neural Network Acceleration on HBM-Enabled FPGA Platform - Abhishek K Jain, Sharan Kumar, Aashish Tripathi, Dinesh Gaitonde (Xilinx)
  • Productive High-Performance k-Truss Decomposition on GPU Using Linear Algebra - Wang Runze, Linchen Wu, Qinggang Wang, Jie Xin, Long Zheng (Huazhong University of Science and Technology)

2021 Student Innovation Awards

  • HyKernel: A Hybrid Selection of One/Two-Phase Kernels for Triangle Counting on GPUs - Mohammad Almasri, Neo Vasudeva, Rakesh Nagi (Univ. of Illinois Urbana-Champaign), Jinjun Xiong (IBM), Wen-Mei Hwu (Univ. of Illinois Urbana-Champaign, Nvidia)

2021 Honorable Mention

  • Community Structure-Preserving Graph Summarization - Lisa JK Durbeck; Peter Athanas (Virginia Tech)

2020 Champions

2020 Innovation Awards

2020 Honorable Mention


2019 Champions

2019 Innovation Awards

2019 Student Innovation Awards

2019 Finalists

2019 Honorable Mention


2018 Champions

2018 Finalists

2018 Innovation Awards

2018 Student Innovation Awards

2018 Honorable Mention


Analysis of all 2017 Triangle Counting Submissions

2017 Champions

2017 Finalists

2017 Innovation Awards

2017 Student Innovation Awards

2017 Honorable Mention