GPU virtualization and scheduling methods: A comprehensive survey
The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …
established a new accelerator-based heterogeneous computing model, which now …
Rip current evidence by hydrodynamic simulations, bathymetric surveys and UAV observation
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 …
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)
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 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
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; …
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 …
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
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 …
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 …
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 …
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 …
Information Technology (FACE-IT) is a workflow engine and data science portal based on …
Virtualizing CUDA enabled GPGPUs on ARM clusters
The acceleration of inexpensive ARM-based computing nodes with high-end CUDA
enabled GPGPUs hosted on x86 64 machines using the GVirtuS general-purpose …
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
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 …
parallelism over the last 10 years. This fact has encouraged the use of GPUs in a broader …