GPU accelerated discontinuous Galerkin methods for shallow water equations
We discuss the development, verification, and performance of a GPU accelerated
discontinuous Galerkin method for the solutions of two dimensional nonlinear shallow water …
discontinuous Galerkin method for the solutions of two dimensional nonlinear shallow water …
A survey of architectural approaches for improving GPGPU performance, programmability and heterogeneity
With the skyrocketing advances of process technology, the increased need to process huge
amount of data, and the pivotal need for power efficiency, the usage of Graphics Processing …
amount of data, and the pivotal need for power efficiency, the usage of Graphics Processing …
cuTauLeaping: A GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems
Tau-leaping is a stochastic simulation algorithm that efficiently reconstructs the temporal
evolution of biological systems, modeled according to the stochastic formulation of chemical …
evolution of biological systems, modeled according to the stochastic formulation of chemical …
[PDF][PDF] Towards Unified Analysis of GPU Consistency
H Tong, N Gavrilenko… - 29th ACM …, 2024 - hernanponcedeleon.github.io
After more than 30 years of research, there is a solid understanding of the consistency
guarantees given by CPU systems. Unfortunately, the same is not yet true for GPUs. The …
guarantees given by CPU systems. Unfortunately, the same is not yet true for GPUs. The …
Rama: A rapid multicut algorithm on gpu
We propose a highly parallel primal-dual algorithm for the multicut (aka correlation
clustering) problem, a classical graph clustering problem widely used in machine learning …
clustering) problem, a classical graph clustering problem widely used in machine learning …
Devito: Automated fast finite difference computation
Domain specific languages have successfully been used in a variety of fields to cleanly
express scientific problems as well as to simplify implementation and performance …
express scientific problems as well as to simplify implementation and performance …
Modelling, characterisation and optimisation of deep geothermal energy in the Cheshire basin
CS Brown - 2020 - etheses.bham.ac.uk
Despite the significant geothermal resource in the UK, only one small scale scheme in
Southampton is presently operating. Few wells have been drilled to target deep resources …
Southampton is presently operating. Few wells have been drilled to target deep resources …
Online Social Interaction for COVID-19 in Asia
S Yum - Disaster Medicine and Public Health Preparedness, 2024 - cambridge.org
While prior studies have barely explored social interaction for COVID-19 across Asia, this
study highlights how people interact with each other for the COVID-19 pandemic among …
study highlights how people interact with each other for the COVID-19 pandemic among …
GPU schedulers: how fair is fair enough?
T Sorensen, H Evrard… - … on Concurrency Theory …, 2018 - drops.dagstuhl.de
Blocking synchronisation idioms, eg mutexes and barriers, play an important role in
concurrent programming. However, systems with semi-fair schedulers, eg graphics …
concurrent programming. However, systems with semi-fair schedulers, eg graphics …
Efficient and differentiable combinatorial optimization for visual computing
A Abbas - 2024 - publikationen.sulb.uni-saarland.de
Many visual computing tasks involve reasoning over structured domains and discrete
objects which can be modeled as combinatorial optimization (CO) problems. Tremendous …
objects which can be modeled as combinatorial optimization (CO) problems. Tremendous …