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Abstract
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; on the other side, the mobile and embedded devices for data collection and human machine interaction. This drove to a highly hierarchical evolution of programming models. GVirtuS is the general virtualization system developed in 2009 and firstly introduced in 2010 enabling a completely transparent layer among GPUs and VMs. This paper shows the latest achievements and developments of GVirtuS, now supporting CUDA 6.5, memory management and scheduling. Thanks to the new and improved remoting capabilities, GVirtus now enables GPU sharing among physical and virtual machines based on x86 and ARM CPUs on local workstations,computing clusters and distributed cloud appliances.
Original language | English |
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Pages (from-to) | 1142-1163 |
Number of pages | 22 |
Journal | International Journal of Parallel Programming |
Volume | 45 |
Issue number | 5 |
Early online date | 13 Oct 2016 |
DOIs | |
Publication status | Published - Oct 2017 |
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- 1 Finished
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R6933CSC: Heterogeneous Secure Multi-Level Remote Acceleration Service for Low-Power Integrated System and Devices
Nikolopoulos, D. (PI), Matthaiou, M. (CoI) & Spence, I. (CoI)
12/12/2014 → 31/12/2017
Project: Research