HYPHA: a framework based on separation of parallelisms to accelerate persistent homology matrix reduction

Jun 26, 2019·

Simon Zhang

,

Mengbai Xiao

,

Chengxin Guo

Liang Geng

Liang Geng

,

Hao Wang

,

Xiaodong Zhang

· 0 min read

PDF

Type

Conference paper

Publication

Proceedings of the ACM International Conference on Supercomputing

Last updated on Jun 26, 2019

Liang Geng

Authors

Ph.D. Student

My research interests include GPU, RDMA and distributed systems.

← Catfish: Adaptive RDMA-enabled R-Tree for Low Latency and High Throughput Jul 7, 2019

SEP-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU Feb 16, 2019 →