L u c i o G r a n d i n e t t i
Breve Curriculum Vitae
Lucio Grandinetti è dal 2012 Professore Emerito dell’Università
della Calabria presso il Dipartimento di Ingegneria Informatica , Modellistica,
Elettronica e Sistemistica – DIMES .
dopo essere stato dal 1986 al 2011 Professore Ordinario presso la stessa
Università , dove ha iniziato la propria carriera accademica e scientifica a partire dal 1974.
Egli ha ricoperto, nell’Università della Calabria (
UNICAL ), ruoli di considerevole responsabilità istituzionale e di
significativa importanza , in alcuni casi per periodi notevolmente prolungati.
E’ stato Direttore dell’ ex Dipartimento di Sistemi e poi
del Dipartimento di Elettronica, Informatica e Sistemistica ( DEIS ), a partire
dal 1986 per complessivi 10 anni senza soluzione di continuità; in questo
periodo ha attivamente contribuito all’ideazione e costituzione del DEIS
dalla fusione dei pre-esistenti dipartimenti
Elettrico e Sistemi.
Ha ricoperto la carica elettiva di Presidente del Consiglio
di Corso di Laurea in Ingegneria Gestionale per oltre un decennio
ininterrottamente, a partire dal 1990.
E’ stato coordinatore per oltre un decennio del Corso di
Dottorato in Ricerca Operativa, a partire dalla istituzione di quest’ultimo.
Ha ricoperto la carica elettiva di rappresentante dei
professori di prima fascia nel CdA dell’Ateneo per
cinque consiliature biennali, a partire dal 1987,
quasi senza soluzione di continuità. In alcune di queste consiliature
ha svolto la funzione di Presidente di alcune delle Commissioni istruttorie
permanenti.
A partire dal 1° Novembre 1999, ha ricoperto ininterrottamente
fino al 2011 la carica di Pro-Rettore vicario dell’Ateneo. Durante questo
periodo, nell’ambito del proprio ruolo istituzionale, o in ambiti ad esso
collegati, ha presieduto Commissioni istruttorie di Ateneo di notevole
importanza e diretto alcuni rilevanti progetti fra i quali quello per
l’orientamento denominato “Oracolo”, premiato dal Ministero per l’Università
con il riconoscimento di progetto di eccellenza e con l’indicazione di progetto
“best practice”.
Il prof. Grandinetti, come ricercatore e docente, ha svolto
un’attività di alta divulgazione e promozione culturale attraverso molteplici
ruoli, impegni e responsabilità.
Nel 1992, è stato fondatore, presso il Dipartimento DEIS,
del laboratorio “Parcolab” (Parallel
Computing Laboratory) che ha effettuato attività
pionieristiche nel campo dell’allora nascente settore del calcolo parallelo.
Queste attività hanno fermentato un notevole sviluppo della ricerca nel settore
a livello nazionale e internazionale, testimoniato da pubblicazioni
scientifiche, organizzazione di convegni internazionali e titolarità di
rilevanti progetti (ad esempio, Progetto EUROMED finanziato dalla Commissione
Europea).
Questo sviluppo è culminato con il conseguimento del
prestigioso risultato di essere fra i vincitori –su base competitiva- del
concorso indetto dal MIUR per la costituzione di Centri di Eccellenza. E’stato infatti costituito presso l’UNICAL, a partire dal
2001, il Centro di Eccellenza MIUR per il Calcolo ad Alte Prestazioni, su
progetto presentato da un gruppo di ricercatori coordinato dal Prof.
Grandinetti, unitamente ad altri gruppi di ricercatori dell’Ateneo afferenti ai
Dipartimenti di Fisica, Chimica, Matematica, Scienza della Terra, Difesa del
Suolo. Il Centro, presieduto dal Prof. Grandinetti per tutta la durata
quinquennale del suo finanziamento, ha svolto numerose attività di ricerca
avanzata, con risonanza sia nazionale che internazionale ; alcune di queste
attività sono state coronate dal conferimento –su base competitiva- di alcuni
importanti progetti, fra i quali vale la pena menzionare l’istallazione
nell’Ateneo di una rete telematica a fibra ottica ad alta velocità e della
realizzazione del progetto SPACI, primo caso di progetto prototipale GRID in
Italia.
In anni più recenti, il Prof. Grandinetti è stato
co-promotore e co-realizzatore del CESIC (Centro di Supercalcolo
per l’Ingegneria Computazionale), un’importante iniziativa di cooperazione nel
campo della ricerca industriale con l’Impresa multinazionale giapponese NEC;
iniziativa (del valore di circa 10 milioni di Euro di investimento in ricerca e
formazione) al tempo del suo avvio fortemente innovativa, non fosse altro che
per aver progettato e realizzato un Corso di Master di 2° Livello, adottato
dalla Facoltà di Ingegneria dell’UNICAL, in Sistemi e Tecnologie Avanzate per
il Supercalcolo, unico esempio –allora- di alta
formazione nel settore in Italia.
L’attività scientifica e di ricerca del Prof. Grandinetti è
stata costantemente testimoniata da numerose pubblicazioni scientifiche (una
selezione delle quali si trova nell’allegato A1), alcune delle quali su riviste
internazionali prestigiose nel campo della Teoria dei Sistemi, dell’Ottimizzazione
numerica, del Calcolo Parallelo e, più recentemente, delle Tecnologie GRID e
CLOUD.
E’inoltre co-autore , o editore ,
o co-editore in 22 libri (lista allegata in A2), nel settore del
calcolo scientifico avanzato, pubblicati in sedi internazionali note e
prestigiose (ad es., North Holland, Kluwer, Elsevier, Springer). Il volume “High Performance Computing: from
GRIDS and CLOUDS to Exascale”, pubblicato da IOS
Press di Amsterdam nel 2011 ha il Prof. Ian Foster (University of Chicago e Argonne National
Laboratory, USA) come uno dei co-editori; il Prof.
Foster è riconosciuto universalmente come il “padre fondatore” della tecnologia
GRID.
In campo pubblicistico ed editoriale, il Prof. Grandinetti
annovera inoltre l’appartenenza a team editoriali delle seguenti importanti e
prestigiose riviste internazionali del settore:
·
Member of the
Editorial Board of the following international scientific journals:
i)
Future
Generation Computer Systems (Elsevier, Amsterdam)
ii)
Journal
of Computational Science (Elsevier, Amsterdam)
iii)
International
Journal of Computer & Software Engineering (Graphs Publications)
iv) International Journal on Computing
(Ukraine)
·
Formerly member
of the Editorial board of the journals:
i)
Optimization
Methods and Software (Taylor and Francis, New York)
ii) Parallel Computing (Elsevier,
North-Holland, Amsterdam)
·
Formerly
European Editor of the scientific book series “Scientific and Engineering
Computation”, MIT Press (Boston, U.S.A.)
Da notare, con particolare rilievo, che il Prof. Grandinetti
è stato European Editor di una collana di libri,
molto nota internazionalmente, della casa editrice MIT Press di Boston (Scientific and Engineering Computation Series).
Oltre all’intensa attività pubblicistica ed editoriale, il
Prof. Grandinetti è stato responsabile di numerosi progetti di ricerca di
rilevanza nazionale ed internazionale, fra i quali:
- Progetti
finalizzati CNR
- MURST
40%
- PRIN
- Progetti
europei:
EUROMED
BEINGRID
HPC FINANCE
WADI
Nel campo della divulgazione e
promozione culturale, il Prof. Grandinetti si è anche distinto per essere
l’organizzatore (sempre con il patrocinio dell’UNICAL) di una serie di convegni
internazionali biennali (iniziata nel 1992) e tuttora pienamente attiva, sul
Calcolo ad Alte Prestazioni. Questa serie ha raggiunto un’ampia notorietà
internazionale ( due edizioni sponsorizzate e parzialmente finanziate dalla
NATO ), potendosi ormai annoverare fra le maggiori e più qualificate manifestazioni
nel settore a livello europeo.
Il Prof. Grandinetti ha attivamente
operato per molti anni come membro, eletto dalla comunità nazionale della
Ricerca Operativa, del Consiglio Scientifico del CIRO-Centro Interuniversitario
di Ricerca Operativa e dell’AIRO –Associazione Italiana di Ricerca Operativa-.
E’ anche, da numerosi anni, membro di
vari associazioni scientifiche internazionali, alcune molto prestigiose nel
campo dell’ Ingegneria dell’Informazione, come IEEE-Computer Society e ACM; ma,
soprattutto, vale la pena di sottolineare che egli ha fatto parte per alcuni
anni del comitato internazionale TCPP (Technical Committee
on Parallel Procesing)
organo di consulenza della prestigioa associazione
americana IEEE.
E’stato per
circa trent’anni costantemente coinvolto nel comitato organizzatore e /o
scientifico e di programma di convegni nazionali ed internazionali nei settori
di ricerca di suo interesse, dianzi citati.
Non è mancata al prof. Grandinetti anche
una estesa attività seminariale svolta su invito presso ambienti ed istituzioni
scientifiche internazionali; alcune delle Università ed Istituti scientifici
sedi di queste attività sono stati:
Univ. di
Stanford
Univ. di
Berkeley
Univ.
Minnesota-Minneapolis
Univ. Dundee ,
Scozia
Istituto di Ricerca sui Sistemi,
Varsavia
Accademia delle Scienze Bulgare, Sofia
Infine, va ricordata fra le attività del
Prof. Grandinetti che hanno dato, direttamente o indirettamente, anche lustro
all’Ateneo, quella di consulenza che, per oltre quindici anni, (a partire dal
1993), è stato chiamato a svolgere in qualità di esperto scientificamente
qualificato internazionalmente, nel monitoraggio e nella valutazione di
importanti progetti di alta tecnologia e calcolo avanzato attribuiti e
finanziati dalla Commissione Europea (una selezione è elencata nell’allegato
A3).
ALLEGATO A1
A Selected List of
Publications in Journals,
Proceedings and Books
Mirtaheri L. and Grandinetti
L., “Optimized Local Balancing in HPC for Big Data Analytics” in Concurrency and Computation: Practice and
Experience, J. Wiley, to appear.
Al Baali M. and Grandinetti L., “Improved
Damped Quasi-Newton Methods for Unconstrainerd
Optimization”, in Pacific Journal
of Optimization, Vol 15, No 1, pp.45-54, 2019, Yokohama Publishers, ISSN
1(349 –8169) online journal.
Mirtaheri
L., Grandinetti L., et al. “Dynamic Load Balancing in
Distributed Exascale Computing Systems”, in Cluster Computing, 20, 3677-3689, 2017.
ISSN 1386-7857. DOI 10.1007/s 10586 –
017 – 0902 -8, Published online.
Grandinetti L., Guerriero F., Pezzella F., Pisacane O., (2016) “A
pick-up and delivery problem with time windows by electric vehicles”, in
Int. J. Productivity and Quality
Management, Vol. 18, Nos. 2/3, 2016
Aloi G., Grandinetti L.,
Pace P., Pisacane O., (2016) “On the Economical
Sustainability of Supplying Bandwidth Policies in Multilayer Wireless Cognitive
Networks” in Applied Mathematical
Modelling, 40(7-8), 5123-5138.
Sheikhalishahi M., Wallace R.M., Grandinetti L., Guerriero
F., “A multi-dimensional job scheduling”, in
Future Generation Computer Systems,
54, March 2015.
Grandinetti L., Guerriero F., Di Puglia
Pugliese L., and Sheikhalishahi M., “Heuristics for
the Local Grid Scheduling Problem with Processing Time Constraints” in Journal of Heuristics, Vol. 21, No. 1,
pp.1-25, ISSN 1381-1231. On Line 15 March 2015, Digital Object Identifier DOI:
10.1007/s10732-015-9287-0.
Mirtaheri S.L., Khaneghah
E.M., Memaripour A.S., Grandinetti
L., Sharifi M. and Bornaee
Z., “Multics and plan 9: The big bangs in the
distributed computing system universe”, in Computing in Science and Engineering, Published on 01 Sep 2014,
DOI: 10.1109/MCSE.2014.3.
Sheikhalishahi M., Wallace R.M., Grandinetti L., Vazquez-Poletti J.L. and Guerriero F., “A multi-capacity
queuing mechanism in multi-dimensional resource scheduling”, Lecture Notes in Computer Science
(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes
in Bioinformatics), Published on 01 Jan 2014, DOI: 10.1007/978-3-319-13464-2_2.
Beraldi P., Grandinetti L.,
Epicoco I., Violi A., Bruni M.E., “An advanced system
for portfolio optimisation” in Int.
J. Grid and Utility Computing, Vol. 5, No. 1, 2014, pp 21-32.
Grandinetti L., Guerriero F., Pezzella F., Pisacane O., “The
Multi-objective Multi-vehicle Pickup and Delivery Problem with Time Windows”,
in PROCEDIA, Social and Behavioural
Science, Elsevier, 111 (2014), pp. 203-212.
Al-Baali M., Grandinetti
L., Pisacane O., “Damped Techniques for the
Limited Memory BFGS Method for Large-Scale Optimization”, in Journal of Optimization Theory and
Applications, Volume 161, Issue 2 (2014), Page 688-699, Print ISSN 0022-3239, DOI 10.1007/s10957-013-0448-8,
Published online 26 October 2013, Springer US, Online ISSN 1573-287.
Sheikhalishahi M., Wallace R.M., Grandinetti L., Vazquez-Poletti J.L., “Autonomic resource contention-aware scheduling”,
in Software Practice and Experience,
45 (2), September 2013, DOI 10.1002/spe2223.
Wallace R. M., Turchenko V., Sheikhalishahi M.,
Turchenko I., Shults V., Vazquez-Poletti J.L., and Grandinetti L., “Applications
of Neural-based Spot Market Prediction for Cloud Computing” , in Proceedings
of the 7th IEEE International Conference on Intelligent Data Acquisiti n and Advanced Computing Systems: Technology and
Applications, 12-14 September 2013, Berlin, Germany , pp.710 – 716.
E. M. Khaneghah, S. L.
Mirtaheri, L. Grandinetti, A. S. Memaripour, M. Sharifi “A Dynamic replication
mechanism to reduce response-time of I/O operations in high performance
computing clusters” , in Proceedings
of IEEE International Conference on
Social Computing, p.p.738- 743, IEEE Publisher, 8/9/2013.
Grandinetti L., Pisacane O., Sheikhaishahi
M., “An Approximate Epsilon-Constraint Method for a
Multi-objective Job Scheduling in the Cloud” in Future Generation Computer Systems 29 (2013), pp. 1901-1908 DOI
information: 10.1016/j.future.2013.04.023.
Devare M., Sheikhalishahi M. and Grandinetti
L., “Virtual Appliance Preparation For
Science Clouds”, in Proceedings of
2012 4th International Conference on Electronics Computer Technology (ICECT
2012), Volume 1, pp. 453-459, 2012.
Turchenko V., Grandinetti
L., Sachenko A., “Parallel
Batch Pattern Training of Neural Networks on Computational Clusters”,
in: Waleed W. Smari
(Editor), Proceedings of the 2012
International Conference on High Performance Computing & Simulation (HPCS
2012), July 2 - 6, 2012, Madrid, Spain, pp. 202-208, The Printing House
Inc., U.S.A., 2012.
Sheikhalishahi M., Devare
M., Grandinetti L., Incutti
M.C., “A Complementary Approach to Grid and Cloud
Distributed Computing Paradigms”, Chapter N. 2, pp.31 - 44, of the book:
Nikolas Preve (Editor), “Computational and Data Grids: Principles, Applications and Design”,
IGI Global Press, USA, 2012, ISBN 978-1-61350-113-9 (hardcover).
Al-Baali M., Grandinetti
L., “On the Behavior
of Damped Quasi-Newton Methods for Unconstrained Optimization” in Iranian Journal of Operations Research
Vol. 3, No. 1, 2012, pp. 1-10.
Grandinetti L., Pisacane O., “Web
Services for Healthcare Management”, Chapter of the book Technologies and Protocols for the Future of
Internet Design: Reinventing the Web, edited by D. P. Vidyarthi,
pp. 60-94, IGI Global Press, USA, 2012.
Grandinetti L., Guerriero F., Laganà D. and Pisacane O., “An
Optimization-based Heuristic for the Multi-Objective Undirected Capacitated Arc
Routing Problem” in Computers
& Operations Research, Vol 39, pp. 2300 - 2309, 2012.
Manoj Devare,
Mehdi Sheikhalishahi and Lucio Grandinetti, "A Prototype
Implementation of Desktop Clouds" in High Performance Computing: From Grids
and Clouds to Exascale, Advances in Parallel
Computing Series, Vol. 20, ISBN: 978-1-60750-802-1 (print) - ISBN: 978-1-60750-803-8 (online), ISSN
0927-5452 (print) - ISSN 1879-808X(online), Amsterdam, Berlin, Tokyo, Washington: IOS
Press, 2011.
Grandinetti L., Pisacane O., "Web based prediction for diabetes treatment" in
Future Generation Computer Systems (FGCS), Vol. 27, Issue 2, February 2011, pp.
139 - 147, Elsevier, Amsterdam.
Grandinetti L., Guerriero
F., Laganà D., Pisacane O., "An approximate ε-constraint method for the
Multi-objective Undirected Capacitated Arc Routing Problem", in: P.
Festa (Ed.) “Proceedings of the 9th International
Symposium on Experimental Algorithms (SEA’10)", Lecture Notes in Computer
Science, Pages 214-225, Vol. 6049, Springer Verlag,
2010.
Turchenko, V., Grandinetti, L.: "Scalability
of Enhanced Parallel Batch Pattern BP Training Algorithm on General-Purpose
Supercomputers". In Distributed Computing and Artificial
Intelligence, Ponce de Leon F.de Carvalho, A ., et
al., Editors, Series: Advances in Intelligent and Soft Computing, Vol 79, pp
518 -526, Springer, Heidelberg, 2010, ISBN 978-3-642-14882
Turchenko, V., Grandinetti, L.: " Strategy of Resource Brokering for Efficient Parallelization
of MLP Training" .
In Proceedings orf the 2010 International Conference
on High Performance Computing & Simulation HPCS2010, June 28 - July 2,
2010, Caen, France, pp. 140-149.
Turchenko V., Grandinetti L. "Application of BSP-Based Computational Cost Model to Predict
Parallelization Efficiency of MLP Training Algorithm", In: K. Diamantaras, W. Duch, L.S. Iliadis (Eds.): ICANN 2010, Part III, LNCS 6354, pp.
327–332, 2010. © Springer-Verlag Berlin Heidelberg
2010.
Turchenko V., Grandinetti L., Bosilca G., Dongarra J. "Improvement of parallelization efficiency of batch pattern
BP training algorithm using Open MPI" . Presented at: The
International Conference on Computational Science ICCS 2010, 31 May-02 June
2010. Published in Elsevier Procedia Computer Science,
Volume 1, Issue 1, pp. 525-533., 2010, Amsterdam, The Netherlands.
Devare M., Sheikhalishahi M., Grandinetti L., “Virtualization:
A Foundation for Cloud Computing”, International Journal of Networking and Communication
Engineering (Print:
ISSN 0974 – 9713 & Online: ISSN 0974 – 9616), September 2009.
Turchenko V., Grandinetti L., “Investigation
of Computational Cost Model of MLP Parallel Batch Training Algorithm”,
Proceedings of 2009 IEEE Symposium on Industrial Electronics and Applications
(ISIEA 2009), October 4-6, 2009, Kuala Lumpur, Malaysia, pp. 983-988.
Turchenko V., Grandinetti L., “Efficiency Research of Batch and Single Pattern MLP Parallel
Training Algorithms”, Proceedings of 5th IEEE International Workshop on
Intelligent Data Acquisition and Advanced Computing Systems: Technology and
Applications (IDAACS2009), 21-23 September 2009, Rende
(Cosenza), Italy, pp. 218-224.
Turchenko V., Grandinetti L., “Minimal Architecture
and Training Parameters of Multilayer Perceptron for its Efficient
Parallelization”, Proceedings of the 5th International Workshop on
Artificial Neural Networks and Intelligent Information Processing ANNIIP2009,
4-5 July 2009, Milan, Italy, pp. 79-87.
Turchenko V., Grandinetti L., “Efficiency Analysis of Parallel Batch Pattern NN Training
Algorithm on General-Purpose Supercomputer”, in S. Omatu
et al. (Editors), IWANN 2009, Part II, Lecture Notes in Computer Science 5518,
pp. 222–225, Springer-Verlag, Berlin, Heidelberg,
2009.
Al Baali M., Grandinetti
L., “On Practical Modifications of the
Quasi-Newton BFGS Method”. Advanced Modeling
and Optimization, 2009, Vol. 11, n. 1, pp. 63-76, ISSN: 1841-4311.
Grandinetti L., Pisacane O., “Web Services for Optimal Clinical Support Systems”,
Proceedings of the 2008 International Conference on Semantic Web and Web
Services, Editors Hamid R. Arabnia and Andy
Marsh, Associate Editors Youngsong Mun and Ashu M.G. Solo, WORLDCOM
’08, July 14-17, 2008, Las Vegas, Nevada, USA, pp. 155-160, CSREA Press, 2008.
Grandinetti L., Incutti
M. C., Mari F., “A new resource brokering and
scheduling solution for a Grid environment” in High Performance
Computing and Grids in Action, Grandinetti L.
Editor, Advances in Parallel Computing Series, Vol. 16, pp. 167-185, IOS Press,
Amsterdam, 2008.
Grandinetti L., Guerriero
F., Le Pera G., Mancini M., “A Niched Genetic
Algorithm to Solve a Pollutant Emission Reduction Problem in the Manufacturing
Industry: a Case Study”. Computers & Operations Research,
2007, Vol. 34, n. 7, pp. 2191-2214.
Attanasio A., Grandinetti L., Ghiani G., Guerriero F., “Auction Algorithms
for Decentralized Parallel Machine Scheduling”, Parallel Computing,
2006, Vol. 32/9, pp. 701-709.
Attanasio A., Ghiani
G., Grandinetti L., Guerriero
E., Guerriero F., “Operations
Research Methods for Resource Management and Scheduling in a Computational
Grid: a Survey”, in Grid Computing: The New Frontier of High
Performance Computing, Grandinetti L.
Editor, Advances in Parallel Computing Series Vol. 14, pp. 53-81,
Elsevier, Amsterdam, 2005.
Turchenko V., Triki
C., Grandinetti L., Sachenko
A., “Parallel Algorithm of Enhanced Historical Data
Integration Using Neural Networks”, Proceedings of the 3rd IEEE
Workshop on Intelligent Data Acquisition and Advanced Computing Systems:
Technology and Applications IDAACS’2005, September 5-7, 2005, Sofia
(Bulgaria), pp. 66-73, ISBN: 0-7803-7164-X.
Turchenko V., Triki
C., Grandinetti L., Sachenko
A. “Efficiency Estimation of Parallel Algorithm of
Enhanced Historical Data Integration on Computational Grid”, International
Journal of Computing, 2005, Vol. 4, Issue 3, pp. 9-19, ISSN: 1727-6209.
Triki C., Grandinetti
L., “Computational Grids to Solve Large Scale
Optimization Problems with Uncertain Data”, International Journal of
Computing, Vol. 1, Issue 1, 2002.
Ghiani G., Grandinetti
L., Guerriero F., Musmanno R., “A Lagrangean Heuristic for the
Plant Location Problem with Multiple Facilities in the Same Site”. Optimization
methods and software, 2002, Vol. 17, n. 6, pp. 1059-1076.
Triki C., Rotiroti
D., Grandinetti L., “Combined
MPI/OpenMP Implementations for a Stochastic
Programming Solver”, in Parallel Computing, Advances and Current
Issues, edited by G. Joubert, A. Murli, F.
Peters, M. Vanneschi, Imperial College Press,
pp. 354-361, 2002.
Beraldi P., Grandinetti
L., Triki C., “Parallel
Algorithms for Robust Two-Stage Stochastic Programs”, Conference “AIRO
2000”, Milan, September, 2000.
Beraldi P., Grandinetti
L., Musmanno R., Triki C., “Parallel Algorithms to Solve Two-Stage Stochastic Linear
Programs with Robustness Constraints”, Parallel Computing, 2000,
Vol. 26, n. 13-14, pp. 1889-1908.
Golovko V., Savitsky
Y., Sachenko A., Turchenko V., Laopoulos
T., Grandinetti L., “Choice
of Architecture and Adaptive Training of Recurrent Neural Network for Time
Series Prediction”, in Transactions of Ternopil
Academy of National Economy, Ternopil, Ukraine,
2000, No 10, pp. 37-42 (in Russian).
Sachenko A., Kochan
V., Turchenko V., Laopoulos Th., Golovko
V., Grandinetti L., “Features
of Intelligent Distributed Sensor Network Higher Level Development”,
Proceedings of the 17th IEEE Instrumentation and Measurement
Technology Conference IMTC/2000, Baltimore, USA, May 1-4, 2000, pp.
335-340.
Golovko V., Savitsky
Y., Sachenko A., Kochan V.,
Turchenko V., Laopoulos Th., Grandinetti
L., “Intelligent System for Prediction of
Sensor Drift”, Proceedings of the International
Conference on Neural Networks and Artificial Intelligence ICNNAI ‘99,
Brest, Belarus, October 12-15, 1999, pp. 126-135.
Golovko V., Grandinetti
L., Kochan V., Laopoulos
Th., Sachenko A., Turchenko V., “Sensor Signal Processing Using Neural Networks”,
Proceedings of the IEEE Region 8 International Conference Africon’99,
Cape Town, South Africa, September 29-October 1, 1999, pp. 339-344.
Laopoulos T., Golovko
V., Savitsky J., Sachenko
A., Grandinetti L., “Architecture and Adaptive Training Algorithms of the
Recurrent Neural Network”, Proceedings of the International Conference “Information Technologies
for Education, Science and Business” ITESB’99, 24-25 June, 1999, Minsk,
Belarus, pp. 215-219.
Laopoulos T., Golovko
V., Gladyschuk V., Markuzov
S., Sachenko A., Grandinetti
L., “Recirculation Neural
Network Training for Image Compression”, Proceedings of the International Conference “Information
Technologies for Education, Science and Business” ITESB’99, 24-25 June,
1999, Minsk, Belarus, pp. 55-59.
Golovko V., Grandinetti
L., Kochan V., Laopoulos
Th., Sachenko A., Turchenko V., Tymchyshyn
V., “Approach of an Intelligent Sensing
Instrumentation Structure Development”, Proceedings of the IEEE
International Workshop on Intelligent Signal Processing WISP’99, Budapest,
Hungary, 4-7 September, 1999, pp. 336-341.
Grandinetti L., Golovko
V., Gladyschuk V., Sachenko
A., Laopoulos T., “Training
Rules of the Recirculation Neural Networks”, Proceedings of the “IEEE
International Workshop on Intelligent Signal Processing WISP ‘99”,
Budapest, Hungary, 4-7 September, 1999.
Grandinetti L., Joubert G., W. Ronsch,
Hiromoto B., Shimasaki M., Trystram D., Kowalik J., Miura K.
(Editors), “Special Anniversary Issue”, Parallel
Computing, 1999, Vol. 25, N.13-14, pp. 1515-2199.
Grandinetti L., Golovko
V., Savitsky J., Dunets A.,
Sachenko A., Laopoulos T.,
“Modifications of the Architecture and Training
Algorithms of the Recurrent Neural Networks for Time Series Prediction”,
Proceedings of the “IEEE International Workshop on Intelligent Signal
Processing WISP ‘99”, Budapest, Hungary, 4-7 September 1999.
Beraldi P., Grandinetti
L., Guerriero F., “Solving
Large-Scale Network Transportation Problems on a Cluster of Workstations”,
in Parallel Computing: Fundamentals, Applications and New Directions,
Joubert G., Trottenberg U. (Editors), Amsterdam,
Elsevier, 1998.
Grandinetti L., Conforti
D., De Luca L., Mancini M., Musmanno R., “PARJEN96: A
Parallel Software Tool for Automatic Differentiation”, in Advances in
High Performance Computing, Grandinetti L.,
Kowalik J., Vajtersic M.
(Editors), pp. 89-113, Dordrecht, The Netherlands, Kluwer Academic Publishers,
1997.
Conforti D., Grandinetti
L., Triki C., “A
Parallel Algorithm for the Optimal Power Flow Problem”, in High
Performance Computing and Networking, Lecture Notes in Computer Science,
Springer Verlag, Berlin, 1996.
Grandinetti L., Guerriero
F., Musmanno R., “A Parallel Approach to Large-Scale
Nonlinear Network Optimization”, in Advanced Methods in
Transportation Analysis, Berlin: SpringerVerlag,
1996, pp. 341-357.
Conforti D., De Luca L., Grandinetti L., Musmanno R., “A Parallel Implementation of Automatic Differentiation for Partially
Separable Functions using PVM”, Parallel Computing, 1996, Vol.
22, n. 5, pp. 643-656.
Conforti D., De Luca L., Grandinetti L., Musmanno R., “A Parallel Algorithm for Large Scale Nonlinear Optimization on Networked
Environments”, in Parallel Computing: State-of-the-Art and
Perspectives, Joubert G., Trystram D. (Editors),
Amsterdam: Elsevier Scientific Publishing Company, 1996, pp. 181-187.
Conforti D., Grandinetti L., Musmanno R., “Introduzione alle Tecniche Numeriche e di Visualizzazione per la Diagnosi
Automatica del Tumore del Seno”, in Proceedings
of “AIIM ‘96, IX Congresso Nazionale di Informatica Medica”, Università
Ca’ Foscari, Venezia, Italy,
3-5 October, 1996.
Grandinetti L., Guerriero F., Musmanno R., “Impiego di Tecnologie Avanzate per la Soluzione di Problemi
di Ottimizzazione su Reti di Flusso”, in Proceedings
“II Convegno Nazionale P.F. Trasporti 2”, Genova, 1995.
Conforti D., Grandinetti
L., Musmanno R., “A Parallel Tensor Algorithm
for Nonlinear Optimization”, Optimization methods and software,
1994, Vol. 3, pp. 125-142.
Grandinetti L., Guerriero
F., Musmanno R., “Parallel Techniques for Large-Scale
Nonlinear Network Optimization”, in High Performance Computing and
Networking, W. Gentzsch Editor, Lecture Notes in Computer Sciences Vol.
796, pp. 84-91, SpringerVerlag, Berlin, 1994.
Conforti D., De Luca L., Grandinetti L., Musmanno R., “Asynchronous Communication on Shared-Memory Parallel Computers”,
in Software for Parallel Computation, Kowalik
J., Grandinetti L., Editors, NATO ASI Series F
Vol. 106, pp. 280-293, SpringerVerlag, Berlin, 1993.
Grandinetti L., Conforti
D., Musmanno R., “An Asynchronous Parallel
Implementation of Newton Method for Unconstrained Optimization Problems”,
in “Parallel Computing: Problems, Methods and Applications, Edited by P.
Messina and A. Murli, pp. 135-148, Elsevier Science
Publishers, Amsterdam, 1992.
Conforti D., Grandinetti
L., Musmanno R., Cannataro M., Spezzano G.,
Talia D., “A Model of Efficient Asynchronous Parallel
Algorithms on Multicomputer Systems”, Parallel Computing, 1992,
Vol. 18, n. 1, pp. 31-45.
Conforti D., Grandinetti
L., Musmanno R., “Parallel Asynchronous
Quasi-Newton Algorithm for Nolinear Optimization
Problems”, in “IMACS - IFAC International Symposium on Parallel and
Distributed Computing in Engineering Systems”, Grandinetti
L., Tzafestas S., Borne P., (Editors),
North-Holland, Amsterdam, 1992, pp. 161-167.
Conforti D., Galdini
R., Grandinetti L., Musmanno R., Simonetti A., “Parallel Algorithm
for the Automatic Differentiation of Numerical Functions”, in
Proceedings of “ISMM-International Workshop Parallel Computing”, Trani, Italy, Acta Press, Zurich,
1991, Vol. 1.
Conforti D., Grandinetti
L., “Nonlinear optimization codes for real time
solution of large scale problems: a case study on the parallel vector
supercomputers CRAY X-MP and IBM 3090/VF”, in Parallel Computing:
Methods, Algorithms and Applications, Sutti C.,
Evans E. (Editors) Bristol: Adam Hilger - IOP
Publishing Ltd, 1989, pp. 201-211.
Conforti D., Grandinetti
L., “Numerical comparisons of nonlinear
programming algorithms on serial and vector processors using automatic
differentiation”, Mathematical Programming, 1988, Vol. 42, pp.
375-389.
Conforti D., Grandinetti
L., “An experience of advanced computation
techniques in the solution of nonlinearly constrained optimization problems”,
in Optimization, Parallel Processing and Applications, SpringerVerlag, Berlin 1987, pp. 69-85.
Grandinetti L., Conforti
D., “Optimization of Power Flow in Electric Power
Systems via Parallel Processing”. In Large Scale Systems: Theory and
Applications, Pergamon Press, Oxford, pp.
739-743, 1987.
ALLEGATO A2
Books Co-Authored , Edited or Co-Edited
1.
S.
Tzafestas, P. Borne, L. Grandinetti (Eds.), Parallel
and Distributed Computing in Engineering Systems, North Holland,
Amsterdam: Elsevier Science Publisher, 1992.
2. J.S. Kowalik,
L. Grandinetti (Eds.), Software for Parallel Computation, NATO
Asi Series F, Vol. 106, Berlin: Springer-Verlag, 1993.
3. J. Dongarra,
L. Grandinetti, G. Joubert, J. Kowalik (Eds.), High
Performance Computing: Technology, Methods and Applications, Advances
in Parallel Computing Series, Vol. 10, Amsterdam: Elsevier, 1995.
4. L. Grandinetti, J. Kowalik, M. Vajtersic (Eds.), Advances
in High Performance Computing, NATO Asi
Series, High Technology, vol. 30, KLUWER Academic Publishers, 1997.
5. A, Marsh, L. Grandinetti, T. Kauranne (Eds.), Advanced Infrastructures for Future
Healthcare, Studies in Health Technology and Informatics, Vol. 7,
Amsterdam: IOS Press, , 2000.
6. L. Grandinetti (Ed.), Grid
Computing: The New Frontier of High Performance Computing, Advances in
Parallel Computing Series Vol. 14, Amsterdam: Elsevier, 2005.
7. L. Grandinetti (Ed.) High
Performance Computing and Grids in Action, Advances in Parallel
Computing Series, Vol. 16, Amsterdam: IOS Press, 2008.
8. L. Grandinetti, W.Gentzsch,
G.Joubert (Eds.), High Speed and Large Scale Scientific Computing, Advances in Parallel Computing Series, Vol. 18, ISBN 978-1-60750-073-5, Amsterdam: IOS Press, 2009.
9.
I.
Foster, W. Gentzsch, L. Grandinetti and G. Joubert (Eds.), High
Performance Computing: From Grids and Clouds to Exascale
, Advances in Parallel Computing Series, Vol. 20, ISBN:
978-1-60750-802-1 (print) - ISBN: 978-1-60750-803-8 (online), ISSN 0927-5452
(print) - ISSN 1879-808X(online), Amsterdam, Berlin, Tokyo, Washington : IOS
Press, 2011.
- L.Grandinetti, O.Pisacane,
M.Sheikhalishahi, Pervasive Cloud Computing
Technologies: Future Outlooks and Interdisciplinary Perspectives,
IGI Global International, PA, U.S.A., October, 2013, 292 pages DOI:
10.4018/978-1-4666-4683-4, ISBN13: 9781466646834, ISBN10: 1466646837,
EISBN13: 9781466646841
http://www.igi-global.com/pervasive-cloud-computing-technologies/77400
11.
Catlett,
C., Gentzsch, W., Grandinetti, L., Joubert, G.R., Vazquez-Poletti, J.L., Cloud
Computing and Big Data, IOS Press, Amsterdam, 2013, pages 264, Volume
23 of Advances in Parallel Computing, ISBN 978-1-61499-321-6.
12.
D’Hollander, E.H., Dongarra,
J.J. , Foster, I., Grandinetti, L., Joubert, G.R., Transition of HPC Towards Exascale Computing, IOS Press, Amsterdam, 2013,
pages 232, Volume 24 of Advances in Parallel Computing, ISBN 978-1-61499-323-0.
13.
Lucio
Grandinetti, Thomas Lippert, Nicolai Petkov (Eds.), Brain-Inspired
Computing, Springer, Lecture Notes in Computer Science, Vol. 8603, pp.
213, October 2014.
14.
*
Al-Baali Mehiddin, Grandinetti Lucio, Purnama Anton
(Eds.), Numerical Analysis and Optimization, Springer, Series of
Proceedings in Mathematics and Statistics , 2015, ISBN 978-3-319-17689-5 .NAO-III, Muscat,
Oman, January 2014, Editors Mehiddin Al-Baali, Anton Purnama,
Lucio Grandinetti, Springer Proceedings in Mathematics & Statistics, ISSN
2194-1009 ISSN 2194-1017 (electronic) ISBN 978-3-319-17688-8 ISBN
978-3-319-17689-5 (eBook) DOI 10.1007/978-3-319-17689-5. Library of Congress
Control Number: 2015941730 Springer Cham Heidelberg New York Dordrecht London©
Springer International Publishing, Switzerland 2015.
15.
Grandinetti,
L., Joubert, G., Kunze, M., Pascucci,
V., Big
Data and High Performance Computing, IOS Press, Amsterdam 2015,
Vol. 26 of the book series Advances in Parallel
Computing, ISBN 978 1-61499- 582-1 (print), ISBN 978- 1- 61499 – 583 – 8 (on
line).
16.
Katrin
Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
(Eds.), Brain-Inspired Computing, Springer, Lecture Notes in Computer
Science, Vol. 10087, pp.195, 2016, ISSN 0302-9743.
17.
Al-Baali
Mehiddin, Grandinetti Lucio, Purnama Anton (Eds.), Numerical
Analysis and Optimization, Springer Proceedings in Mathematics &
Statistics book series (PROMS, volume 235), NAO –IV, Muscat, Oman, January
2017, ISBN: 978-3-319-90025-4, eISBN:
978-3-319-90026-1.
18.
Fox,
G., Getov, V., Grandinetti, L., Joubert G., Sterling,
T. (Eds), New Frontiers in High Performance Computing
and Big Data Vol. 30 APC book series IOS Press, Amsterdam, Berlin,
Washington DC, November 2017, ISBN 978- 1-61499-815-0 (print), ISBN
978-1-61499-816-7 (online).
19.
Grandinetti,
L., Mirtaheri, L., Shabazian R., Sterling, T., Voevodin, V. (Eds), Cloud
Computing and big Data: Ecosystem and Convergence, IOS Press,
Amsterdam, Book Series “Advances in Parallel Computing”, Vol. 33, August 2018, ISBN print 978-1-61499-881-5.
20.
Katrin
Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
(Eds.), Brain-Inspired Computing, Springer, Lecture Notes in Computer
Science, in preparation, to appear in 2020.
21.
Lucio
Grandinetti, Gerhard R. Joubert, Kristel Michielsen, Seyedeh Leili
Mirtaheri, Michela Taufer, Rio Yokota (Eds.), Future
Trends of HPC in a Disruptive Scenario, IOS Press, Amsterdam, Book
Series “Advances in Parallel Computing”, Vol. 34, 2019, ISBN 978-1-61499-998-0
(print), ISBN 978-1-61499-999-7 (online), ISSN 0927-5452 (print), ISSN
1879-808X (online).
- L. Grandinetti, S.L. Mirtaheri, R. Shahbazian
(Eds.), High Performance Computing and Big Data Analysis, Springer, Communications
in Computer and Information Science, Book Series vol. 891 (CCIS
891), 2019, Conference Proceedings, Second International Congress
TopHPC2019, Tehran, April 23-25, 2019.
|
* |
|
ALLEGATO
A3
|
|
|
|
Member of the Reviewers Team of more than 10 international High Tech,
ICT Projects. |
|
|
|
|
|
|
A selected List |
|
|
3D
PRESENCE |
|
|
DEISA |
|
|
ISSeG |
|
|
OLGA |
|
|
SimBio |
|
|
AMeGOS |
|
|
ALESSIA |
|
|
ANFAS |
|
|
VIRTUAL
FIRES |
Project 3D
PRESENCE
European Commission - Brussels
7th FP
Project’s duration: months 30 (2008
- 2010)
Project Partners:
- Philips (ND)
- Telefonica (Spain)
- Fraunhofer (Germany)
- Radvision (Israel)
- Technical University of Endhoven (ND)
-----------------------------
DEISA - Project DEISA - Distributed European Infrastructure for
Supercomputing Applications
European Community - 6th Framework
Programme
Integrated Infrastructure Initiative
Contract Number 508830
Project Duration 5 years (start may 1st 2004)
First review, Paris june 2005
Project Consortium:
- IDRIS (France)
- FZJ (Germany)
- RZJ (Germany)
- CINECA (Italy)
- EPCC (U.K.)
- CSC (Finland)
- SARA (The Netherlands)
- ECMWF (U.K.) - European Centre for Medium Range Weather Forecast
and (from may 2005):
- BSC (Spain) - Barcelona Supercomputing Centre
- LRZ (Germany) - Leibnitz Rechenzentrum
- HLRS (Germany) High Performance Computing Centre Stuttgart
-------------------------------
Project ISSeG - Integrated Site Security for Grids
European Commission - Brussels
6 th FP
Research Infrastructure
Communication Network Development
Project’s duration: months 26 (february 2006 - march
2008)
Project Consortium:
- CERN European Organization for
Nuclear Research (CH)
- FZK Forschungs
Zentrum Karlsruhe (Germany)
- STFC Science and Technology
Facilities Council, formerly
CCLRC Council for the Central Laboratory of the
Research Councils (U.K.)
----------------------------------
OLGA - A Unified Scalable
Framework for On-line Gaming
European Commission - Brussels
6th Framework
Programme
Information Society Technologies
Contract IST - 1 - 507926
Project’s Duration : months 30
(2004 - 2006)
Project Partners :
- PHILIPS Research, Eindhoven,
The Netherlands
- ARCADIA, Italy
- IMEC vzw (Interuniversity Micro-Electronics
Centre),
Leuven, Belgium
- INT Institut National des Telecommunications, France
-
LARIAN Studio, Belgium
-
TELEFONICA I+D, Spain
- Universidad Politecnica de Madrid, Spain
-----------------------------------
Project SimBio - A Generic Environment
for Bio-numerical Simulation
European Commission - Brussels
IST Information Society Technologies Programme
Project’s duration: months
36 (starting february 1 st
2000)
Project Consortium:
- Max Planck Institute of Cognitive
Neuroscience, Leipzig, Germany
- NEC Europe, UK: C & C Research Laboratories, St. Augustin, Germany
- A.N.T. Software, Enschede, The Netherlands
- CNRS - DR18, France
- The University of Sheffield, UK
- Biomagnetic Center,
Department of Neurology, University of Jena, Germany
- ESI - Engineering Systems International, France
- Smith and Nephew, UK
- Katholieke Universiteit,
Leuven, Belgium
------------------------------------------
AMeGOS - Automatic Mesh Generation and Optimization for
Industrial Flow Simulations
European Commission - Brussels
Esprit IV
High Performance Computing and Networking (HPCN)
Project’s duration: months 36 (1998
- 2001)
Project Partners:
- Von Karman Insitute for Fluid Dynamics (Belgium)
- PSA Peugeot Citroen (France)
- AB Volvo (Sweden)
- ElSyCa (Belgium)
- AVL List GmbH (Austria)
-----------------------------------------
ALESSIA - Application of Large Eddy
Simulation to the Solution of Industrial Problems
European Commission - Brussels
ESPRIT Programme
Project’s Duration : months 36
(starting date 01-10-1998)
Project Partners :
- AEA Technology, Harwell, UK
-Shell International Oil Products
-Schlumberger Cambridge Research, UK
-Centro
Ricerche FIAT, Italy
-LMS
International, Belgium
-Alfa Laval Separation, Sweden
-Technical University Munchen, Germany
------------------------------------------
Project Name ANFAS: Data Fusion for Flood Analysis and
Decision Support
European Project in Cooperation with China
Project Partners:
- ERCIM, France
- INRIA, France
- Institute of Informatics, Slovak
Academy of Sciences
- MATRA, Matra Systems and Information,
France
- CCLRC, UK
- FORTH (Foundation for Research and Technology Hellas) – Institute of
Applied and Computational Mathematics, Greece
- BRGM, France
- University of Reading, UK
Chinese Partners:
- Institute of Automation, Chinese
Academy of Sciences
- Institute of AtmospherIC Physics,
Chinese Academy of Sciences
- Institute of Remote Sensing
Applications, Chinese Academy of Sciences
- University of Electrical Engineering
and Hydraulics of Wuhan, China
- Yangtze River Scientific Research
Institute, ChangJiang River Water
Resource Commission
------------------------------------------
VIRTUALFIRES - Virtual Real Time Emergency
Simulator
European Commission - Brussels
5th Framework Programme
IST – Information Society Technologies
Project IST-2000-29266, Line:
Real-time simulation and visualisation technologies and services
Project’s Duration: months 30 (2001
- 2004)
Project Partmers:
- FRAUNHOFER GESELLSCHAFT, Germany
- KUNGLIGA TEKNISKA HOEGSKOLAN
Stockholm, Sweden
- TECHNISCHE UNIVERSITAET GRAZ, Austria
- EUROPEAN VIRTUAL ENGINEERING, S.A.
Leioa -Bizkaia, Spain
- Ministere de
l’Equipment, des Transports et du Logement, France
- Direction Technique Alpetunnel - GEIE, Chambery, France
- University of
Leoben , Leoben, Austria
- BERUFSFEUERWEHR DORTMUND - Stadt Dortmund,Germany
|
Projects Leader (in preparation) |