Carl Yang

Department of Electrical Engineering
University of California, Davis
Google Scholar | GitHub | Curriculum Vitae
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Kemper 2250
ctcyang at ucdavis dot edu


I am a 5th-year PhD candidate at UC Davis being jointly advised by Prof. John Owens and Prof. Aydın Buluç. Part of my work is funded as a GSRA at LNBL. I received a BASc in Electrical Engineering from University of British Columbia. My research interests include graphic processing unit (GPU) computing, parallel computing and graph processing.


Gunrock-GrB (Gunrock GraphBLAS on GPU)
High-performance implementation of GraphBLAS on GPU using optimizations from Gunrock with automatic direction-optimization thrown in. C++/CUDA header-only library.

High-performance graph primitives on GPU. C++/CUDA shared object library.


Reviewer for the following conferences and journals:

  • ACM Transactions on Parallel Computing (TOPC)

  • ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D)

  • IEEE International Parallel & Distributed Processing Symposium (IPDPS)


Graph Partitioning using Bayesian Inference on GPU
Carl Yang, Steven Dalton, Maxim Naumov, Michael Garland, Aydin Buluc, John D. Owens
GPU Technology Conference, GTC, March 2018
abstract | slides | video

Design Considerations for a GraphBLAS Compliant Graph Library on Clusters of GPUs
Carl Yang, Aydin Buluc and John D. Owens
Society for Industrial and Applied Mathematics Annual Meeting, SIAM, July 2016
abstract | slides


Design Principles for Sparse Matrix Multiplication on the GPU
Carl Yang, Aydin Buluc, John D. Owens
International European Conference on Parallel and Distributed Computing, Euro-Par, August 2018
Distinguished Paper, Best Artifact
paper | slides | code

Implementing Push-Pull Efficiently in GraphBLAS
Carl Yang, Aydin Buluc, John D. Owens
International Conference on Parallel Processing, ICPP, August 2018
paper | slides | code

GraphBLAS C API: Ideas for future versions of the specification
Tim Mattson, Carl Yang, Scott McMillan, Aydin Buluc and Jose Moreira
High Performance Extreme Computing Conference, HPEC, September 2017

Multi-GPU Graph Analytics
Yuechao Pan, Yangzihao Wang, Yuduo Wu, Carl Yang and John D. Owens
International Parallel and Distributed Processing Symposium, IPDPS, May 2017
paper | code

Design of the GraphBLAS API for C
Aydin Buluc, Timothy Mattson, Scott McMillan, Jose Moreira and Carl Yang
Graph Algorithm Building Blocks, GABB, May 2017

Gunrock: GPU Graph Analytics
Yangzihao Wang, Yuechao Pan, Andrew Davidson, Yuduo Wu, Carl Yang, Leyuan Wang, Muhammad Osama, Chenshan Yuan, Weitang Liu, Andy T. Riffel and John D. Owens
ACM Transactions on Parallel Computing, TOPC, January 2017
paper | code

Mathematical Foundations of the GraphBLAS
Jeremy Kepner, Peter Aaltonen, David Bader, Aydin Buluc, Franz Franchetti, John Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Jose Moreira, John D. Owens, Carl Yang, Marcin Zalewski and Timothy Mattson
High Performance Extreme Computing Conference, HPEC, September 2016

A Comparative Study on Exact Triangle Counting Algorithms on the GPU
Leyuan Wang, Yangzihao Wang, Carl Yang and John D. Owens
1st High Performance Graph Processing Workshop, HPGP, May 2016

Performance Characterization for High-Level Programming Models for GPU Graph Analytics
Yuduo Wu, Yangzihao Wang, Yuechao Pan, Carl Yang and John D. Owens
Workload Characterization Symposium, IIWCS, October 2015

Fast Sparse Matrix and Sparse Vector Multiplication Algorithm on the GPU
Carl Yang, Yangzihao Wang and John D. Owens
Graph Algorithm Building Blocks, GABB, May 2015
paper | slides | code