Results 41 to 50 of about 1,012 (185)

JAX‐LaB: A High‐Performance, Differentiable Lattice Boltzmann Library for Modeling Multiphase Fluid Dynamics in Geosciences and Engineering

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 2, February 2026.
Abstract We introduce JAX‐LaB, a differentiable, Python‐based Lattice Boltzmann simulation library designed for modeling multiphase and multiphysics fluid dynamics problems in hydrologic, geologic, and engineered porous media settings. The library is designed as an extension to XLB (Ataei & Salehipour, 2024, https://doi.org/10.1016/j.cpc.2024.109187 ...
Piyush Pradhan, Pierre Gentine, Shaina Kelly   +2 more
wiley   +1 more source

A Python/Fortran Implementation of the Lattice‐Boltzmann Kernel on Multiple GPU Using the OpenACC Framework

Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT The increasing availability of GPU accelerated architectures for high‐performance computing presents new opportunities for scientific software but also challenges due to the complexity of porting legacy codes to accelerator platforms. Directive‐based programming models such as OpenACC offer a minimally intrusive pathway to exploit GPU ...
Carlos Junqueira‐Junior, Erwan Zamora Medina, Noureddine Taibi, Simon Marié   +3 more
wiley   +1 more source

On application of heterogeneous hardware architectures based on advanced risc machines to FEM calculations [PDF]

Computer Methods in Materials Science, 2015
Advanced RISC Machine (ARM) hardware architectures are nowadays one of the most popular solutions among processors widely present in mobile and embedded systems.
Krzysztof Bzowski, Łukasz Rauch
doaj   +1 more source

AI‐Based Autonomous Sailboat Navigation: A Review

Journal of Field Robotics, Volume 42, Issue 8, Page 4157-4180, December 2025.
ABSTRACT This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sources, the study critically evaluates current challenges, innovative control algorithms, and path planning ...
Vishali Mankina, André P. D. Araújo, Raphael Guerra, Esteban W. G. Clua, Carlo Cernicchiaro, Luiz M. G. Gonçalves, Cosimo Distante   +6 more
wiley   +1 more source

A Distributed‐Heterogeneous Design for Explicit Hyperbolic Solvers. Application to Tsunami Urban Run‐Up Modelling

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 12, December 2025.
Abstract A distributed multi‐architecture design for massively parallel hyperbolic solvers is herein introduced and benchmarked. A unified object‐oriented central processing unit (CPU) + graphics processing unit (GPU) approach is complemented with an inter‐device communication layer, enabling both coarse and fine‐grain parallelism on hyperbolic solvers.
Daniel A. S. Conde, Rui M. L. Ferreira, Ricardo Canelas, Ana Margarida Ricardo, Luís Mendes   +4 more
wiley   +1 more source

Efficient FPGA Implementation of OpenCL High-Performance Computing Applications via High-Level Synthesis

IEEE Access, 2017
FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-based accelerators in modern high-performance computing systems. They offer both high computational capabilities and considerably lower energy consumption.
Fahad Bin Muslim, Liang Ma, Mehdi Roozmeh, Luciano Lavagno   +3 more
doaj   +1 more source

Lattice QCD based on OpenCL [PDF]

Computer Physics Communications, 2013
We present an OpenCL-based Lattice QCD application using a heatbath algorithm for the pure gauge case and Wilson fermions in the twisted mass formulation. The implementation is platform independent and can be used on AMD or NVIDIA GPUs, as well as on classical CPUs.
Bach, M., Lindenstruth, V., Philipsen, O., Pinke, C.   +3 more
openaire   +4 more sources

Portable PGAS‐Based GPU‐Accelerated Branch‐And‐Bound Algorithms at Scale

Concurrency and Computation: Practice and Experience, Volume 37, Issue 25-26, 30 November 2025.
ABSTRACT The Branch‐and‐Bound (B&B) technique plays a key role in solving many combinatorial optimization problems, enabling efficient problem‐solving and decision‐making in a wide range of applications. It incrementally constructs a tree by building candidates to the solutions and abandoning a candidate as soon as it determines that it cannot lead to ...
Guillaume Helbecque, Ezhilmathi Krishnasamy, Tiago Carneiro, Nouredine Melab, Pascal Bouvry   +4 more
wiley   +1 more source

Mapping a Guided Image Filter on the HARP Reconfigurable Architecture Using OpenCL

Algorithms, 2019
Intel recently introduced the Heterogeneous Architecture Research Platform, HARP. In this platform, the Central Processing Unit and a Field-Programmable Gate Array are connected through a high-bandwidth, low-latency interconnect and both share DRAM ...
Thomas Faict, Erik H. D’Hollander, Bart Goossens   +2 more
doaj   +1 more source

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, Lifan Xu, John Cavazos, Howie H Huang, Matthew Kay   +4 more
doaj   +1 more source