[HTML][HTML] A comparative review of peridynamics and phase-field models for engineering fracture mechanics
Computational modeling of the initiation and propagation of complex fracture is central to the
discipline of engineering fracture mechanics. This review focuses on two promising …
discipline of engineering fracture mechanics. This review focuses on two promising …
A review of benchmark experiments for the validation of peridynamics models
Abstract Peridynamics (PD), a non-local generalization of classical continuum mechanics
(CCM) allowing for discontinuous displacement fields, provides an attractive framework for …
(CCM) allowing for discontinuous displacement fields, provides an attractive framework for …
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …
of novel materials. Computationally hard tasks in materials science stretch the limits of …
Hpx-the c++ standard library for parallelism and concurrency
The new challenges presented by exascale system architectures have resulted in difficulty
achieving the desired scalability using traditional distributed-memory runtimes …
achieving the desired scalability using traditional distributed-memory runtimes …
Parallel programming models for heterogeneous many-cores: a comprehensive survey
J Fang, C Huang, T Tang, Z Wang - CCF Transactions on High …, 2020 - Springer
Heterogeneous many-cores are now an integral part of modern computing systems ranging
from embedding systems to supercomputers. While heterogeneous many-core design offers …
from embedding systems to supercomputers. While heterogeneous many-core design offers …
Enginecl: Usability and performance in heterogeneous computing
Heterogeneous systems have become one of the most common architectures today, thanks
to their excellent performance and energy consumption. However, due to their heterogeneity …
to their excellent performance and energy consumption. However, due to their heterogeneity …
A parallel particle swarm optimization framework based on a fork-join thread pool using a work-stealing mechanism
Abstract Particle Swarm Optimization (PSO) is one of the most popular optimization
algorithms that has been adopted in various fields, including design, scheduling, and …
algorithms that has been adopted in various fields, including design, scheduling, and …
A taxonomy of modern gpgpu programming methods: On the benefits of a unified specification
N Capodieci, R Cavicchioli… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Several application programming interfaces (APIs) and frameworks have been proposed to
simplify the development of general-purpose GPU (GPGPU) applications. GPGPU …
simplify the development of general-purpose GPU (GPGPU) applications. GPGPU …
Asynchronous execution of python code on task-based runtime systems
Despite advancements in the areas of parallel and distributed computing, the complexity of
programming on High Performance Computing (HPC) resources has deterred many domain …
programming on High Performance Computing (HPC) resources has deterred many domain …
Conveyors for streaming many-to-many communication
FM Maley, JG DeVinney - 2019 IEEE/ACM 9th Workshop on …, 2019 - ieeexplore.ieee.org
We report on a software package that offers high-bandwidth and memory-efficient ways for a
parallel application to transmit numerous small data items among its processes. The …
parallel application to transmit numerous small data items among its processes. The …