Cheng Ling

Optimizing the Bayesian Inference of Phylogeny on Graphic Processors

Xiaoyan Zhu, Tsuyoshi Hamada, Cheng Ling, 2015, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.

SparkSW: Scalable Distributed Computing System for Large-Scale Biological Sequence Alignment

Cheng Ling, Donghong Sun, Guoguang Zhao, 2015, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.

High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP

Ying Liu, Ali Akoglu, Yang Song, 2012, Int. J. Reconfigurable Comput..

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

Yuichiro Shibata, Keisuke Dohi, Tsuyoshi Hamada, 2010, ASAP 2010 - 21st IEEE International Conference on Application-specific Systems, Architectures and Processors.

An FPGA-based parameterised and scalable optimal solutions for pairwise biological sequence analysis

Ahmet T. Erdogan, Cheng Ling, Khaled Benkrid, 2011, 2011 NASA/ESA Conference on Adaptive Hardware and Systems (AHS).