Parallel Reservoir Simulation with OpenACC and Domain Decomposition [PDF]
Algorithms, 2018 Parallel reservoir simulation is an important approach to solving real-time reservoir management problems. Recently, there is a new trend of using a graphics processing unit (GPU) to parallelize the reservoir simulations.
Dongmei Zhang, Ze Deng, Wei Han
exaly +5 more sources
Optimizing UniFrac with OpenACC Yields Greater Than One Thousand Times Speed Increase [PDF]
mSystems, 2022 UniFrac is an important tool in microbiome research that is used for phylogenetically comparing microbiome profiles to one another (beta diversity).
Igor Sfiligoi +4 more
doaj +2 more sources
A CNN-LSTM Car-Following Model Considering Generalization Ability [PDF]
Sensors, 2023 To explore the potential relationship between the leading vehicle and the following vehicle during car-following, we proposed a novel car-following model combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network. Firstly,
Pinpin Qin +4 more
doaj +2 more sources
Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC [PDF]
Frontiers in Big Data, 2020 Spatial cross-matching operation over geospatial polygonal datasets is a highly compute-intensive yet an essential task to a wide array of real-world applications. At the same time, modern computing systems are typically equipped with multiple processing
Furqan Baig +5 more
doaj +2 more sources
OpenACC Errors Classification and Static Detection Techniques
IEEE Access, 2019 With the continued increase of usage of High-Performance Computing (HPC) in scientific fields, the need for programming models in a heterogeneous architecture with less programming effort has become important in scientific applications. OpenACC is a high-
Ahmed Mohammed Alghamdi, Fathy Eassa
exaly +3 more sources
Fast acceleration of 2D wave propagation simulations using modern computational accelerators. [PDF]
PLoS ONE, 2014 Recent developments in modern computational accelerators like Graphics Processing Units (GPUs) and coprocessors provide great opportunities for making scientific applications run faster than ever before.
Wei Wang +4 more
doaj +2 more sources
Accelerating prediction of chemical shift of protein structures on GPUs: Using OpenACC. [PDF]
PLoS Computational Biology, 2020 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.
Eric Wright +5 more
doaj +2 more sources
Accelerating Electromagnetic Field Simulations Based on Memory-Optimized CPML-FDTD with OpenACC
Applied Sciences (Switzerland), 2022 Although GPUs can offer higher computing power at low power consumption, their low-level programming can be relatively complex and consume programming time. For this reason, directive-based alternatives such as OpenACC could be used to specify high-level
CARLOS Couder +2 more
exaly +3 more sources
OmpSs-2 and OpenACC Interoperation
2022 Workshop on Accelerator Programming Using Directives (WACCPD), 2022 We propose an interoperation mechanism to enable novel composability across pragma-based programming models. We study and propose a clear separation of duties and implement our approach by augmenting the OmpSs-2 programming model, compiler and runtime system to support OmpSs-2 + OpenACC programming.
Korakitis, Orestis +5 more
openaire +2 more sources
Partial wave analysis with OpenAcc [PDF]
EPJ Web of Conferences, 2020 Partial wave analysis(PWA) is an important tool in hadron physics. Large data sets from the experiments in high precision frontier require high computational power.
Xiao Yanjia +3 more
doaj +1 more source