Graph Challenge Champions

2019 Champions

  • One Quadrillion Triangles Queried on One Million Processors - Roger Pearce, Trevor Steil, Benjamin Priest, Geoffrey Sanders (Lawrence Livermore National Laboratory)
  • H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs - Santosh Pandey (Stevens Institute of Tech.), Xiaoye Li, Aydin Buluc (Lawrence Berkeley National Laboratory), Jiejun Xu (HRL), Hang Liu (Stevens Institute of Tech.)
  • Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU - Mark P Blanco (Carnegie Mellon University and Sandia National Labs), Tze Meng Low (Carnegie Mellon University), Kyungjoo Kim (Sandia National Labs)
  • A GPU Implementation of the Sparse Deep Neural Network Graph Challenge - Mauro Bisson, Massimiliano Fatica (NVIDIA)
  • Write Quick, Run Fast: Sparse Deep Neural Network in 20 Minutes of Development Time via SuiteSparse: GraphBLAS - Timothy A Davis, Mohsen Aznaveh, Scott Kolodziej (Texas A&M University)

2019 Innovation Awards

  • Linear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments - Abdurrahman Yaşar (Georgia Institute of Technology), Siva Rajamanickam, Jonathan Berry, Michael M Wolf (Sandia National Laboratories), Jeffrey Young, Ümit V.  Çatalyürek (Georgia Institute of Technology)
  • Scalable Triangle Counting on Distributed-Memory Systems - Seher Acer (Sandia National Laboratories), Abdurrahman Yaşar (Georgia Institute of Technology), Siva Rajamanickam, Michael M Wolf (Sandia National Laboratories), Ümit V.  Çatalyürek (Georgia Institute of Technology)
  • Scaling and Quality of Modularity Optimization Methods for Graph Clustering - Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo (Pacific Northwest National Laboratory), Ananth Kalyanaraman (Washington State University)
  • Direction-Optimizing Label Propagation Algorithm - Xu Liu (Washington State University); Jesun S Firoz, Marcin Zalewski, Mahantesh Halappanavar, Kevin Barker, Andrew Lumsdaine (Pacific Northwest National Laboratory), Assefaw H Gebremedhin (Washington State University)
  • Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels - John A Ellis, Sivasankaran Rajamanickam (Sandia National Laboratories)

2019 Student Innovation Awards

  • DistTC: High Performance Distributed Triangle Counting - Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder S Gill, Keshav Pingali (The University of Texas at Austin)
  • Fast Stochastic Block Partitioning via Sampling - Frank D Wanye (Virginia Tech), Vitaliy Gleyzer (MIT Lincoln Laboratory), Wu-chun Feng (Virginia Tech)
  • Update on k-truss Decomposition on GPU - Mohammad Almasri, Omer Anjum, Carl Pearson, Zaid Qureshi, Vikram Sharma Mailthody, Rakesh Nagi (University of Illinois at Urbana-Champaign), Jinjun Xiong (IBM Thomas J. Watson Research Center); Wen-Mei Hwu (UIUC)
  • Accelerating DNN Inference with GraphBLAS and the GPU - Xiaoyun Wang , Zhongyi Lin, Carl Yang, John D Owens (University of California, Davis)

2019 Finalists

  • Fast Parallel BFS-Based Triangle Counting on GPUs - Leyuan Wang, John D Owens (Univeristy of California, Davis)
  • Performance of Training Sparse Deep Neural Networks on GPUs - JIANZONG WANG (平安科技(深圳)有限公司); Zhangcheng Huang (Ping An Technology (Shenzhen) Co., Ltd); Lingwei Kong (PingAn Tech); Jing Xiao (Ping An Insurance (Group) Company of China); Pengyu Wang (Shanghai Jiao Tong University); Lu Zhang (Shanghai Jiao Tong University); Chao Li (Shanghai Jiaotong University)

2019 Honorable Mention

  • Fast Triangle Counting on GPU - Chuangyi Gui, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin (Huazhong University of Science and Technology)
  • Update on Triangle Counting on GPU - Carl Pearson, Mohammad Almasri, Vikram Sharma Mailthody, Zaid Qureshi, Omer Anjum, Wen-Mei Hwu (University of Illinois at Urbana-Champaign), Jinjun Xiong (IBM Thomas J. Watson Research Center); Rakesh Nagi (UIUC)
  • Multithreaded Layer-wise Training of Sparse Deep Neural Networks using Compressed Sparse Column - Mohammad Hasanzadeh Mofrad, Rami Melhem (University of Pittsburgh), Yousuf Ahmad, Mohammad Hammoud (Carnegie Mellon University in Qatar)
  • Accelerating Sparse Deep Neural Network on FPGA - Sitao Huang, Carl Pearson, Rakesh Nagi, (University of Illinois at Urbana-Champaign), Jinjun Xiong (IBM Thomas J. Watson Research Center), Deming Chen, Wen-Mei Hwu (University of Illinois at Urbana-Champaign)

 


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