Results 51 to 60 of about 15,151 (210)
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 +2 more
wiley +1 more source
Parallel programming is increasingly used to improve the performance of solving numerical methods used for scientific purposes. Numerical methods in the field of fluid dynamics require the calculation of a large number of operations per second.
TEKIC, J., TEKIC, P., RACKOVIC, M.
doaj +1 more source
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 +3 more
wiley +1 more source
Parallelisation of equation-based simulation programs on heterogeneous computing systems [PDF]
Numerical solutions of equation-based simulations require computationally intensive tasks such as evaluation of model equations, linear algebra operations and solution of systems of linear equations.
Dragan D. Nikolić
doaj +2 more sources
AI‐Based Autonomous Sailboat Navigation: A Review
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 +6 more
wiley +1 more source
Processing Posting Lists Using OpenCL [PDF]
One of the main requirements of internet search engines is the ability to retrieve relevant results with faster response times. Yioop is an open source search engine designed and developed in PHP by Dr. Chris Pollett.
Kotipalli, Radha
core +1 more source
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 +4 more
wiley +1 more source
High-level programming of stencil computations on multi-GPU systems using the SkelCL library [PDF]
The implementation of stencil computations on modern, massively parallel systems with GPUs and other accelerators currently relies on manually-tuned coding using low-level approaches like OpenCL and CUDA.
Breuer, Stefan +3 more
core +1 more source
Portable PGAS‐Based GPU‐Accelerated Branch‐And‐Bound Algorithms at Scale
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 +4 more
wiley +1 more source
Mapping a Guided Image Filter on the HARP Reconfigurable Architecture Using OpenCL
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 +2 more
doaj +1 more source

