Accelerating prediction of chemical shift of protein structures on GPUs: Using OpenACC.
Experimental chemical shifts (CS) from solution and solid state magic-angle-spinning nuclear magnetic resonance (NMR) spectra provide atomic level information for each amino acid within a protein or protein complex. However, structure determination of large complexes and assemblies based on NMR data...
Main Authors: | Eric Wright, Mauricio H Ferrato, Alexander J Bryer, Robert Searles, Juan R Perilla, Sunita Chandrasekaran |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-05-01
|
Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1007877 |
Similar Items
-
Porting LASG/ IAP Climate System Ocean Model to Gpus Using OpenAcc
by: Jinrong Jiang, et al.
Published: (2019-01-01) -
Accelerating Spark-Based Applications with MPI and OpenACC
by: Saeed Alshahrani, et al.
Published: (2021-01-01) -
Partial wave analysis with OpenAcc
by: Xiao Yanjia, et al.
Published: (2020-01-01) -
An Early Performance Comparison of CUDA and OpenACC
by: Li Xuechao, et al.
Published: (2018-01-01) -
Parallel Reservoir Simulation with OpenACC and Domain Decomposition
by: Zhijiang Kang, et al.
Published: (2018-12-01)