A static scheduling approach to enable safety-critical OpenMP applications [PDF]
, 2017 Parallel computation is fundamental to satisfy the performance requirements of advanced safety-critical systems. OpenMP is a good candidate to exploit the performance opportunities of parallel platforms.
Bertogna, Marko +5 more
core +1 more source
Frontiers in Energy Research, 2021 Scalable parallel algorithm for particle transport is one of the main application fields in high-performance computing. Discrete ordinate method (Sn) is one of the most popular deterministic numerical methods for solving particle transport equations.
Biao Li +7 more
doaj +1 more source
Parallel Solution and Optimization of Large-Scale Sparse Linear System in GRAPES Dynamic Framework [PDF]
Jisuanji gongcheng, 2022 The Helmholtz equation is the core of dynamic framework of Global and Regional Assimilation Prediction System(GRAPES) for numerical weather forecast.This equation can essentially be transformed into the solution of a large-scale sparse linear system, but
ZHANG Kun, JIA Jinfang, YAN Wenxin, HUANG Jianqiang, WANG Xiaoying
doaj +1 more source
MILC Code Performance on High End CPU and GPU Supercomputer Clusters [PDF]
, 2017 With recent developments in parallel supercomputing architecture, many core, multi-core, and GPU processors are now commonplace, resulting in more levels of parallelism, memory hierarchy, and programming complexity.
DeTar, Carleton +3 more
core +2 more sources
New execution model for CAPE using multiple threads on multicore clusters
ETRI Journal, 2021 Based on its simplicity and user‐friendly characteristics, OpenMP has become the standard model for programming on shared‐memory architectures. Checkpointing‐aided parallel execution (CAPE) is an approach that utilizes the discontinuous incremental ...
Xuan Huyen Do +3 more
doaj +1 more source
Optimizing Iterative Data-Flow Scientific Applications Using Directed Cyclic Graphs
IEEE Access, 2023 Data-flow programming models have become a popular choice for writing parallel applications as an alternative to traditional work-sharing parallelism. They are better suited to write applications with irregular parallelism that can present load imbalance.
David Alvarez, Vicenc Beltran
doaj +1 more source
ComPar: Optimized Multi-Compiler for Automatic OpenMP S2S Parallelization [PDF]
International Workshop on OpenMP, 2020 Parallelization schemes are essential in order to exploit the full benefits of multi-core architectures. In said architectures, the most comprehensive parallelization API is OpenMP.
Idan Mosseri +3 more
semanticscholar +1 more source
Spectral analytical method of recognition of inexact repeats in character sequences
Труды Института системного программирования РАН, 2018 Proposed are theoretical basis and algorithmic implementation of spectral-analytical method of recognition of repeats in character sequences. The theoretical justification is based on the theorem on equivalent representation of the character sequence by ...
A. N. Pankratov +4 more
doaj +1 more source
Hierarchical Parallelisation of Functional Renormalisation Group Calculations -- hp-fRG [PDF]
, 2016 The functional renormalisation group (fRG) has evolved into a versatile tool in condensed matter theory for studying important aspects of correlated electron systems.
Rohe, Daniel
core +2 more sources
CHAMELEON: Reactive Load Balancing for Hybrid MPI+OpenMP Task-Parallel Applications
J. Parallel Distributed Comput., 2020 Many applications in high performance computing are designed based on underlying performance and execution models. While these models could successfully be employed in the past for balancing load within and between compute nodes, modern software and ...
Jannis Klinkenberg +4 more
semanticscholar +1 more source