Results 61 to 70 of about 42,875 (250)

PPQSort: Pattern‐Defeating Parallel Quicksort

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 7, April 2026.
ABSTRACT This paper presents PPQSort (Pattern‐defeating Parallel Quicksort), a new parallel quicksort algorithm that provides high performance and ease of use. PPQSort uses C++ threads for parallelization, achieving efficient sorting without external libraries and allowing seamless integration across different computing environments.
Gabriel Hévr   +2 more
wiley   +1 more source

Multisegment Parallel Coregistration of Sentinel-1 SAR Time-Series Images by Combining OpenMP With MPI

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sentinel-1 synthetic aperture radar (SAR) imagery, with its wide-swath imaging capabilities, provides crucial data for large-area interferometric SAR (InSAR) surface deformation monitoring.
Yonghui Kang   +5 more
doaj   +1 more source

A Comparison of some recent Task-based Parallel Programming Models [PDF]

open access: yes, 2010
The need for parallel programming models that are simple to use and at the same time efficient for current ant future parallel platforms has led to recent attention to task-based models such as Cilk++, Intel TBB and the task concept in OpenMP version 3.0.
Brorsson, Mats   +2 more
core   +1 more source

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

open access: yes, 2015
GROMACS is a widely used package for biomolecular simulation, and over the last two decades it has evolved from small-scale efficiency to advanced heterogeneous acceleration and multi-level parallelism targeting some of the largest supercomputers in the ...
A Arnold   +21 more
core   +1 more source

Seismic Numerical Simulation Based on Half-precision Floating-point Number Optimization and OpenMP

open access: yesCT Lilun yu yingyong yanjiu
Studying the propagation law of seismic wavefields is the basis of seismic exploration. The finite difference method is commonly used to solve the wave equation for seismic forward modeling, which has advantages of low memory usage, fast computation ...
Wenge LIU   +4 more
doaj   +1 more source

NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP

open access: yesJournal of Statistical Software, 2021
NScluster is an R package used for simulation and parameter estimation for NeymanScott cluster point process models and their extensions. For parameter estimation, NScluster uses the maximum Palm likelihood estimation procedure.
Ushio Tanaka, Masami Saga, Junji Nakano
doaj   +1 more source

Testing Programs That Contain OpenMP Directives [PDF]

open access: yes, 2006
OpenMP is a standard of compiler directives for C and Fortran programs that allow a developer to parallelize existing code. In this master\u27s project, the topic of tests for code that has been parallelized using OpenMP is addressed.
Barnhart, Bob
core   +1 more source

Parallelization Strategies for Density Matrix Renormalization Group Algorithms on Shared-Memory Systems

open access: yes, 2003
Shared-memory parallelization (SMP) strategies for density matrix renormalization group (DMRG) algorithms enable the treatment of complex systems in solid state physics.
E. Jeckelmann   +14 more
core   +1 more source

Efficient Scheduling Algorithms for Multicore Cyclic Executives With Precedence and Exclusion Relations

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 5, March 2026.
ABSTRACT Cyclic executives (CEs) offer the advantage of ensuring complete determinism with minimal runtime overhead, often making them the preferred choice for safety‐critical real‐time systems. However, generating CEs for multicore processors while addressing task precedence and exclusion relations presents significant challenges.
Bruno Nogueira   +4 more
wiley   +1 more source

Parallel GraphBLAS with OpenMP

open access: yesInternational Conference on Scientific Computing, 2020
SuiteSparse:GraphBLAS is a complete implementation of the GraphBLAS standard. It provides a powerful and expressive framework for creating graph algorithms based on the elegant mathematics of sparse matrix operations on a semiring.
M. Aznaveh   +6 more
semanticscholar   +1 more source

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