George A. Gravvanis
Citado por
Citado por
Simulating fog and edge computing scenarios: An overview and research challenges
S Svorobej, P Takako Endo, M Bendechache, C Filelis-Papadopoulos, ...
Future Internet 11 (3), 55, 2019
Managing spatial graph dependencies in large volumes of traffic data for travel-time prediction
A Salamanis, DD Kehagias, CK Filelis-Papadopoulos, D Tzovaras, ...
IEEE Transactions on Intelligent Transportation Systems 17 (6), 1678-1687, 2015
Explicit approximate inverse preconditioning techniques
GA Gravvanis
Archives of Computational Methods in Engineering 9, 371-402, 2002
The rate of convergence of explicit approximate inverse preconditioning
GA Gravvanis
International journal of computer mathematics 60 (1-2), 77-89, 1996
High performance inverse preconditioning
GA Gravvanis
Archives of Computational Methods in Engineering 16, 77-108, 2009
On the optimization of free resources using non-homogeneous Markov chain software rejuvenation model
VP Koutras, AN Platis, GA Gravvanis
Reliability Engineering & System Safety 92 (12), 1724-1732, 2007
Predicting student performance in distance higher education using active learning
G Kostopoulos, AD Lipitakis, S Kotsiantis, G Gravvanis
Engineering Applications of Neural Networks: 18th International Conference …, 2017
CLOUDLIGHTNING: A Framework for a Self-organising and Self-managing Heterogeneous Cloud.
T Lynn, H Xiong, D Dong, B Momani, GA Gravvanis, ...
CLOSER (1), 333-338, 2016
An approximate inverse matrix technique for arrowhead matrices
GA Gravvanis
International journal of computer mathematics 70 (1), 35-45, 1998
Forecasting students' success in an open university
G Kostopoulos, S Kotsiantis, C Pierrakeas, G Koutsonikos, GA Gravvanis
International Journal of Learning Technology 13 (1), 26-43, 2018
Explicit preconditioned iterative methods for solving large unsymmetric finite element systems
EA Lipitakis, GA Gravvanis
Computing (Wien. Print) 54 (2), 167-183, 1995
Parallel matrix techniques
GA Gravvanis
Computational fluid dynamics'98, 472-477, 1998
The variability of the reasons for student dropout in distance learning and the prediction of dropout-prone students
C Pierrakeas, G Koutsonikos, AD Lipitakis, S Kotsiantis, M Xenos, ...
Machine Learning Paradigms: Advances in Learning Analytics, 91-111, 2020
An efficient method for computing the inverse of arrowhead matrices
HS Najafi, SA Edalatpanah, GA Gravvanis
Applied mathematics letters 33, 1-5, 2014
Solving finite difference linear systems on GPUs: CUDA based parallel explicit preconditioned biconjugate conjugate gradient type methods
GA Gravvanis, CK Filelis-Papadopoulos, KM Giannoutakis
The Journal of Supercomputing 61, 590-604, 2012
Large-scale simulation of a self-organizing self-management cloud computing framework
CK Filelis-Papadopoulos, KM Giannoutakis, GA Gravvanis, D Tzovaras
The Journal of Supercomputing 74, 530-550, 2018
Generic approximate sparse inverse matrix techniques
CK Filelis-Papadopoulos, GA Gravvanis
International Journal of Computational Methods 11 (06), 1350084, 2014
Optimal server resource reservation policies for priority classes of users under cyclic non-homogeneous markov modeling
VP Koutras, AN Platis, GA Gravvanis
European Journal of Operational Research 198 (2), 545-556, 2009
A framework for simulating large scale cloud infrastructures
CK Filelis-Papadopoulos, GA Gravvanis, PE Kyziropoulos
Future Generation Computer Systems 79, 703-714, 2018
An explicit sparse unsymmetric finite element solver
GA Gravvanis, EA Lipitakis
Communications in numerical methods in engineering 12 (1), 21-29, 1996
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