Results 21 to 30 of about 364,302 (257)
SpECTRE: A Task-based Discontinuous Galerkin Code for Relativistic Astrophysics [PDF]
, 2017 We introduce a new relativistic astrophysics code, SpECTRE, that combines a discontinuous Galerkin method with a task-based parallelism model. SpECTRE's goal is to achieve more accurate solutions for challenging relativistic astrophysics problems such as
Bohn, Andy +13 more
core +2 more sources
ISPRS International Journal of Geo-Information, 2017 Parallel processing in the real-time visualization of three-dimensional Geographic Information Systems (3DGIS) has tended to concentrate on algorithm levels in recent years, and most of the existing methods employ multiple threads in a Central Processing
Dongbo Zhou +4 more
doaj +1 more source
A Parallelised ROOT for Future HEP Data Processing [PDF]
EPJ Web of Conferences, 2019 In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisation
Piparo Danilo +6 more
doaj +1 more source
Crystals, 2023 To simulate dendrite growth with different orientations more efficiently, a high-performance cellular automata (CA) model based on heterogenous central processing unit (CPU)+ graphics processing unit (GPU) architecture has been proposed in this paper ...
Jingjing Wang +3 more
doaj +1 more source
MPI+X: task-based parallelization and dynamic load balance of finite element assembly [PDF]
, 2018 The main computing tasks of a finite element code(FE) for solving partial differential equations (PDE's) are the algebraic system assembly and the iterative solver. This work focuses on the first task, in the context of a hybrid MPI+X paradigm.
Artigues, Antoni +6 more
core +4 more sources
Increasing the degree of parallelism using speculative execution in task-based runtime systems [PDF]
PeerJ Computer Science, 2019 Task-based programming models have demonstrated their efficiency in the development of scientific applications on modern high-performance platforms. They allow delegation of the management of parallelization to the runtime system (RS), which is in charge
Bérenger Bramas
doaj +2 more sources
Parallel SaNSDE for Many-Core Sunway Processor
Jisuanji kexue yu tansuo, 2021 Evolutionary algorithm is an important method for solving large-scale optimization problems, which is widely applied to machine learning, process control, engineering optimization, management science, and social sciences.
KANG Shang, QIAN Xuezhong, GAN Lin
doaj +1 more source
The Glasgow Parallel Reduction Machine: Programming Shared-memory Many-core Systems using Parallel Task Composition [PDF]
EPTCS 137, 2013, pp. 79-94, 2013 We present the Glasgow Parallel Reduction Machine (GPRM), a novel, flexible framework for parallel task-composition based many-core programming. We allow the programmer to structure programs into task code, written as C++ classes, and communication code, written in a restricted subset of C++ with functional semantics and parallel evaluation.
arxiv +1 more source
Integrating Job Parallelism in Real-Time Scheduling Theory [PDF]
, 2008 We investigate the global scheduling of sporadic, implicit deadline, real-time task systems on multiprocessor platforms. We provide a task model which integrates job parallelism.
Baker +14 more
core +6 more sources
Task-Parallel Reductions in OpenMP and OmpSs [PDF]
, 2014 This work has been developed with the support of the grant SEV-2011-00067 of Severo Ochoa Program, awarded by the Spanish Government and by the Spanish Ministry of Science and Innovation (contracts TIN2012-34557, and CAC2007-00052) by the Generalitat de Catalunya (contract 2009-SGR-980) and the Intel-BSC Exascale Lab collaboration project.
Jan Ciesko +11 more
openaire +4 more sources