106 citations · 176 across the 6 of their papers we have counts for
6 papers
DL_POLY 5: Calculation of system properties on the fly for very large systems via massive parallelism
H. L. Devereux, C. Cockrell, A. M. Elena +8
Modelling has become a third distinct line of scientific enquiry, alongside experiments and theory. Molecular dynamics (MD) simulations serve to interpret, predict and guide experi…
SWIFT: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications
Matthieu Schaller, Josh Borrow, Peter W. Draper +24
Numerical simulations have become one of the key tools used by theorists in all the fields of astrophysics and cosmology. The development of modern tools that target the largest ex…
SWIFT: Using task-based parallelism, fully asynchronous communication, and graph partition-based domain decomposition for strong scaling on more than 100,000 cores
Matthieu Schaller, Pedro Gonnet, Aidan B. G. Chalk +1
We present a new open-source cosmological code, called SWIFT, designed to solve the equations of hydrodynamics using a particle-based approach (Smooth Particle Hydrodynamics) on hy…
QuickSched: Task-based parallelism with dependencies and conflicts
Pedro Gonnet, Aidan B. G. Chalk, Matthieu Schaller
This paper describes QuickSched, a compact and efficient Open-Source C-language library for task-based shared-memory parallel programming. QuickSched extends the standard dependenc…
SWIFT: task-based hydrodynamics and gravity for cosmological simulations
Tom Theuns, Aidan Chalk, Matthieu Schaller +1
Simulations of galaxy formation follow the gravitational and hydrodynamical interactions between gas, stars and dark matter through cosmic time. The huge dynamic range of such calc…
SWIFT: Fast algorithms for multi-resolution SPH on multi-core architectures
Pedro Gonnet, Matthieu Schaller, Tom Theuns +1
This paper describes a novel approach to neighbour-finding in Smoothed Particle Hydrodynamics (SPH) simulations with large dynamic range in smoothing length. This approach is based…