Results 51 to 60 of about 4,836 (230)

Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N‐Body Simulations

Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz, Vinicius G. Pinto, João V. F. Lima, Márcio Castro, Daniel Cordeiro, Emilio Francesquini   +5 more
wiley   +1 more source

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

Developing performance-portable molecular dynamics kernels in Open CL [PDF]

, 2012
This paper investigates the development of a molecular dynamics code that is highly portable between architectures. Using OpenCL, we develop an implementation of Sandia’s miniMD benchmark that achieves good levels of performance across a wide range of ...
Pennycook, Simon J., Jarvis, Stephen A.
core  

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

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

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

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

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

CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-core Architectures [PDF]

, 2011
The use of graphics processing units (GPUs) in high-performance parallel computing continues to become more prevalent, often as part of a heterogeneous system.
Martinez, Gabriel, Feng, Wu-chun, Gardner, Mark   +2 more
core   +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