Carl Yang

Orcid: 0000-0002-4357-0906

Affiliations:
  • University of California Davis, Electrical and Computer Engineering Department, Davis, CA, USA
  • Lawrence Berkeley National Laboratory, Computational Research Division, Berkeley, CA, USA


According to our database1, Carl Yang authored at least 15 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU.
ACM Trans. Math. Softw., 2022


2019
Graph Coloring on the GPU.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLAS.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Accelerating DNN Inference with GraphBLAS and the GPU.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018
Implementing Push-Pull Efficiently in GraphBLAS.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Design Principles for Sparse Matrix Multiplication on the GPU.
Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017
Gunrock: GPU Graph Analytics.
ACM Trans. Parallel Comput., 2017

Multi-GPU Graph Analytics.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Design of the GraphBLAS API for C.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

GraphBLAS C API: Ideas for future versions of the specification.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

2016

A Comparative Study on Exact Triangle Counting Algorithms on the GPU.
Proceedings of the ACM Workshop on High Performance Graph Processing, 2016

2015
Fast Sparse Matrix and Sparse Vector Multiplication Algorithm on the GPU.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Performance Characterization of High-Level Programming Models for GPU Graph Analytics.
Proceedings of the 2015 IEEE International Symposium on Workload Characterization, 2015


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