GPU virtualization and scheduling methods: A comprehensive survey

CH Hong, I Spence, DS Nikolopoulos - ACM Computing Surveys (CSUR …, 2017 - dl.acm.org
The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …

Rip current evidence by hydrodynamic simulations, bathymetric surveys and UAV observation

G Benassai, P Aucelli, G Budillon… - … Hazards and Earth …, 2017 - nhess.copernicus.org
The prediction of the formation, spacing and location of rip currents is a scientific challenge
that can be achieved by means of different complementary methods. In this paper the …

Monitoring and modelling coastal vulnerability and mitigation proposal for an archaeological site (Kaulonia, Southern Italy)

D Di Luccio, G Benassai, G Di Paola, CM Rosskopf… - Sustainability, 2018 - mdpi.com
This paper presents a Coastal Vulnerability Assessment (CVA) of a microtidal beach located
on the Ionian Sea in Calabria region (southern Italy) in order to examine the influence of the …

On the virtualization of CUDA based GPU remoting on ARM and X86 machines in the GVirtuS framework

R Montella, G Giunta, G Laccetti, M Lapegna… - International Journal of …, 2017 - Springer
The astonishing development of diverse and different hardware platforms is twofold: on one
side, the challenge for the exascale performance for big data processing and management; …

WaComM: A parallel Water quality Community Model for pollutant transport and dispersion operational predictions

R Montella, D Di Luccio, P Troiano… - … on Signal-Image …, 2016 - ieeexplore.ieee.org
Accurate prediction of trends in marine pollution is strategic, given the negative effects of low
water quality on human marine activities. We describe here the computational and functional …

Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources

L Marcellino, R Montella, S Kosta, A Galletti… - … Conference on Parallel …, 2017 - Springer
Data crowdsourcing is one of most remarkable results of pervasive and internet connected
low-power devices making diverse and different “things” as a world wide distributed system …

Accelerating Linux and Android applications on low‐power devices through remote GPGPU offloading

R Montella, S Kosta, D Oro, J Vera… - Concurrency and …, 2017 - Wiley Online Library
Low‐power devices are usually highly constrained in terms of CPU computing power,
memory, and GPGPU resources for real‐time applications to run. In this paper, we describe …

Using the face-it portal and workflow engine for operational food quality prediction and assessment: An application to mussel farms monitoring in the bay of napoli …

R Montella, A Brizius, D Di Luccio, C Porter… - Future Generation …, 2020 - Elsevier
Abstract The Framework to Advance Climate, Economic, and Impact Investigations with
Information Technology (FACE-IT) is a workflow engine and data science portal based on …

Virtualizing CUDA enabled GPGPUs on ARM clusters

R Montella, G Giunta, G Laccetti, M Lapegna… - Parallel Processing and …, 2016 - Springer
The acceleration of inexpensive ARM-based computing nodes with high-end CUDA
enabled GPGPUs hosted on x86 64 machines using the GVirtuS general-purpose …

Towards a parallel component in a GPU–CUDA environment: a case study with the L-BFGS Harwell routine

L D'Amore, G Laccetti, D Romano… - International Journal of …, 2015 - Taylor & Francis
Modern graphics processing units (GPUs) have been at the leading edge of increasing
parallelism over the last 10 years. This fact has encouraged the use of GPUs in a broader …