Gluon: A Communication Optimizing Framework for Distributed Heterogeneous Graph Analytics
[SLIDES]
Time: 9:45 - 10:05am
Authors: Roshan Dathathri and Keshav Pingali, University of Texas at Austin, U.S.
A Model Driven Sparse Gemm on GPUs
[SLIDES]
Time: 10:10-10:30am
Authors: Xin He, Guangming Tan, and Junmin Xiao, Chinese Academy of Sciences, China
Enabling On-the-fly Storage Format Prediction and Optimization for SpMV
[SLIDES]
Time: 10:35-10:55am
Authors: Weijie Zhou and Xipeng Shen, North Carolina State University, U.S.
CVR: Efficient SpMV Vectorization on X86 Processors
Time: 11:00-11:20am
Authors: Xu Liu, College of William & Mary, U.S.; Biwei Xie, Chinese Academy of Sciences, P.R. of China
Communication-avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
[SLIDES]
Time: 2:15-2:35 pm
Authors: Aydin Buluc, Lawrence Berkeley National Laboratory, U.S.
SPARTan: Scalable PARAFAC2 for Large and Sparse Data
Time: 2:40-3:00 pm
Authors: Ioakeim Perros, Georgia Institute of Technology, U.S.; Evangelos Papalexakis, University of California, Riverside, U.S.; Fei Wang, Cornell University, U.S.; Rich Vuduc, Georgia Institute of Technology, U.S.; Elizabeth Searles, Children’s Healthcare of Atlanta, U.S.; Michael Thompson, Unaffiliated; Jimeng Sun, Georgia Institute of Technology, U.S.
Enabling Significant Storage Reduction for Deep Non-Linear Neural Nets via Efficient Self-Adaptive Lossy Compression
[SLIDES]
Time: 3:05-3:25 pm
Authors: Shuaiwen Song, Pacific Northwest National Laboratory, U.S.; updated Jieyang Chen, University of California, Riverside, U.S.
Sparse Tensor Algebra and its Relations to Matrix and Graph Problems
[SLIDES]
Time: 3:30-3:50 pm
Authors: Jiajia Li, Pacific Northwest National Laboratory, U.S.; Jimeng Sun and Richard Vuduc, Georgia Institute of Technology, U.S.
Jiajia Li, Pacific Northwest National Laboratory (Jiajia.Li@pnnl.gov)
Xu Liu, College of William & Mary, U.S. (xl10@cs.wm.edu)
For more information, please refer to: JIAJIA LI.