HIGH PERFORMANCE
COMPUTING
From Clouds and Big Data to Exascale and Beyond
An International Advanced Workshop
Cetraro –
Main Aim
Sustained progress in computational hardware and software technologies, ranging
from hybrid CPU/GPU systems, multicore architectures,
increased density, and virtualization, to relatively new paradigms such as
commercial cloud computing, have brought the tools and techniques of High
Performance Computing (HPC) into broad acceptance in wide areas of research and
industry. At the same time, the extremely fast pace of the field introduces new
challenges in technological, intellectual, and even political areas which must
be addressed to continue to enable wider acceptance, implementation, and
ultimately societal impact of high performance computing technologies and
paradigms.
The main aim of this workshop is to present and debate advanced topics,
open questions, future developments, and challenging applications related to
advanced high-performance distributed computing and data systems, encompassing
implementations ranging from traditional clusters to warehouse-scale data
centers, and with architectures including hybrid, multicore,
distributed, and cloud models.
Emerging computing paradigms and concepts such as “big data,” along with
the drive toward exascale computing,
introduce new opportunities but also technical challenges in resilience and
fault tolerance, fully harnessing multi-core/many-core and hybrid systems,
balancing I/O, and indeed the entire application programming and runtime
environment including middleware, tools, libraries, and applications. Simply
scaling today’s technologies to exascale is
infeasible from the standpoint of power demand, thus there are engineering challenges
related to power efficiency that suggest the need to look beyond traditional
silicon-based building block to consider entirely new substrates such as
quantum, biological, or carbon-nanotube designs.
Equally important are areas related to efficient use of hundreds of
thousands (or millions) of processing units, introducing challenges with
respect to resource scheduling and workload management. Over the past several
decades schedulers have been designed in such a way to solely optimize packing of
jobs as a means to improve scheduling metrics. However, these mechanisms have
not heretofore contemplated new optimization objectives such as power
management (e.g. scheduling based on power demands of algorithms in context of
dynamic energy costs).
The importance of Cloud Computing in HPC is emphasized. We are seeing
more and more government funded cloud testbeds and
projects like DOE’s Magellan or the US
government’s Cloud-First policy, the SARA Research Cloud, the Japanese Kasumigaseki Cloud, and many EU funded Cloud projects.
Commercial cloud service providers like Amazon Web Services, Bull extreme
factory, Fujitsu TC Cloud,Gompute, Microsoft
Azure, Nimbix, Nimbula,
Penguin on Demand, and many more are now offering HPC-focused infrastructure,
platform, and application services. Indeed it appears that Amazon Web Services
is nearing the $1B mark, having become the underlying IT provider for a new
generation of startups. On the other hand, it is
still not well understood which kinds of applications are suitable for and
benefit from HPC clouds. For example, careful application benchmarking of
different cloud infrastructures have to be performed and compared with runs on
physical machines.
Further, though industry providers build redundancy and fault-tolerance
into their systems, there are nonetheless large-scale failures and thus
application and service providers must begin to consider a multi-source
strategy, raising issues of cloud service interoperation and standard APIs.
Strongly related to the topic of clouds is Green IT, because clouds are
making computing also more energy-efficient. By storing and running processes
on the cloud, applications can share the resources sitting on a wide network of
servers, which can keep them from going idle and wasting the energy used to
power them. IT consulting firm Accenture estimates that companies could cut
energy consumption and carbon emissions by 30 percent by switching over the
cloud.
Finally, many of the most widely used application codes have undergone
many generations of adaptation as new architectures have emerged, from vector
to MPP to cluster to cloud, and more recently tomulticore and
hybrid. As exascale systems move toward
millions of processing units the interplay between system and user software,
compilers and middlware, even programmer and
run-time environment must be reconsidered. How much resilience and
fault-tolerance can, or should, be embedded transparently in the system versus
exposed to the programmer?
Summarizing, the aim of this special workshop is to shed some light on
key topics in advanced high performance computing systems and, in particular,
to address the aforementioned contemporary scheduling topics. For that, the
four and a half day program of this workshop will have about forty invited
talks by experts in the field.
Workshop topics
Workshop topics will be related to, but are not limited to, any of the following ones:
· General Issues in High Performance Computing, incl.:
◦ Exascale Computing
◦ Brain-inspired computing
◦ Biocomputing
· Emerging Computer Architectures for HPC, incl.:
◦ Communication networks
◦ Heterogeneous systems, including CPU,
GPU, FPGA, etc.
◦ Grids and Clouds for HPC
◦ Performance Analyses
◦ Energy Requirements (Green Computing)
· Software Development:
◦ System Software, incl. Virtualization
◦ Programming Models and Runtime Environments
◦ Languages and Compilers for Parallel Systems
◦ Software Development Tools and Environments
◦ Middleware for (Distributed)
Data Management, Data Analytics, etc.
· Applications Software for HPC and other Advanced Applications:
◦ Algorithms
◦ Large Scale
Data Processing and Analysis (Big Data)
◦ Smart Cities, Infrastructure Optimization, Urban Data Analytics
◦ Internet of Things
◦ Multimedia Applications, incl. Medical and
Industrial Image Processing, Animation
◦ Scientific Applications, incl. Simulation, Medical and Bio-Sciences, Astronomy, Geo-Sciences
◦ Industrial and Commercial Applications
Programme
Over fifty invited papers will be presented at the workshop. Keynote
overview talks will be given together with research and industry presentations.
Ten Sessions will be planned together with two Panel Discussions.
Several sessions on Clouds, “Big Data” and Exascale Computing
will play an important role in the workshop programme;
invited speakers from different sectors, public and private, will debate the
most critical issues related to their development strategies for Research
and
International
Programme Committee
Lucio Grandinetti
(Chair)
Department of Computer Engineering,
Electronics, and Systems
and
Frank Baetke
Global HPC Programs
Academia and Scientific
Research
Hewlett Packard
Palo Alto, CA
USA
Charlie Catlett
Math & Computer Science
Div.
Argonne National
Laboratory
Argonne, IL
and
Computation Institute of
The University of Chicago and Argonne National
Laboratory
Chicago, IL
USA
Jack Dongarra
Innovative Computing Laboratory
Computer Science Dept.
University of Tennessee
Knoxville, TN
Sudip S. Dosanjh
Director of the National
Energy Research Scientific Computing Center
at
USA
Ian Foster
Math & Computer Science Div.
Argonne National Laboratory
Argonne, IL
and
Dept of Computer Science
The University of Chicago
Chicago, IL
Geoffrey Fox
Community Grid Computing
Laboratory
Indiana University
Bloomington, IN
Wolfgang Gentzsch
The UberCloud and
EUDAT
GERMANY
Vladimir Getov
School of Electronics and
Computer Science
University of Westminster
UNITED KINGDOM
Gerhard Joubert
Technical University Clausthal
GERMANY
Carl Kesselman
Professor, Epstein Department
of Industrial and Systems Engineering
Fellow, Information Sciences
Institute
Viterbi School of
Engineering
and
Professor, Preventive Medicine
Keck School of
Medicine
and
University of Southern
California
Marina del Rey, CA
Erwin Laure
KTH Royal Institute of
Technology
Stockholm
SWEDEN
Thomas Lippert
Institute for Advanced
Simulation
Juelich Supercomputing Centre
Forschungszentrum Juelich
Juelich
GERMANY
Miron Livny
Computer Sciences Dept.
University of Wisconsin
Madison, Wisconsin
Ignacio Llorente
Distributed Systems
Architecture Group
Dpt. de Arquitectura de Computadores y Automática
Facultad de Informática, Universidad
Complutense de Madrid
Madrid
Bob Lucas
Computational Sciences
Division
Information Sciences Institute
Los Angeles, CA
USA
Satoshi Matsuoka
Global Scientific Information
and Computing Center
& Department of
Mathematical and Computing Sciences
Tokyo Institute of Technology
Tokyo
JAPAN
Paul Messina
Argonne National Laboratory
Argonne, Illinois
USA
Ken Miura
Fellow, Fujitsu Laboratories
Limited
Professor emeritus, National
Institute of Informatics
JAPAN
Valerio Pascucci
Director, Center for Extreme Data Management, Analysis and
Visualization
Professor, Scientific
Computing and Imaging Institute
and
School of Computing, University of Utah
Laboratory Fellow, Pacific
Northwest National Laboratory
Nicolai Petkov
Judy Qiu
and
Pervasive Technology Institute
Satoshi Sekiguchi
Deputy Director General
Directorate for Information
Technology and Electronics
National
Thomas Sterling
Professor,
Chief Scientist and Associate
Director, CREST
Department of Computer Science
The
Co-Organizers
L. GRANDINETTI
T. LIPPERT Juelich Supercomputing
Organizing Committee
L. GRANDINETTI (Co-Chair) (
T. LIPPERT (Co-Chair) (
Ø M.
ALBAALI (
Ø C.
CATLETT (
Ø J.
DONGARRA (
Ø W.
GENTZSCH (
Ø O.
PISACANE (
Ø M.
SHEIKHALISHAHI (
Workshop Agenda
Legenda:
t.b.a. to
be announced
Monday, July 7th
State of the art and future
scenarios |
||
|
Welcome Address |
|
|
J. Dongarra |
High Performance Computing Today
and Benchmark the Future |
|
I. Foster |
Networking materials data |
|
G. Fox |
Returning to Java Grande: High Performance Architecture for Big Data |
|
Coffee Break |
|
|
S. Matsuoka |
Convergence
of Extreme Big Data and HPC - Managing the memory hierarchy and data movement
the key towards future exascale |
|
R. Stevens |
Future
Scenarios — |
12:40 – 13:00 |
Concluding Remarks |
|
Emerging computer systems and
solutions |
||
|
F. Baetke |
Trends and Paradigm Shifts in High
Performance Computing |
|
B. Blake |
The
Fusion of Supercomputing and Big Data: The Role of Global Memory
Architectures in Future Large Scale Data Analytics |
|
P. Coteus |
Data Centric
Systems |
|
Coffee Break |
|
|
J. Leidel |
Programming Challenges in Future Memory Systems |
|
D. Pellerin |
Scalability in the Cloud: HPC Convergence with Big Data in Design,
Engineering, Manufacturing |
|
M. Kunze |
Big Data Technologies |
|
Concluding Remarks |
Tuesday, July 8th
Advances in HPC technology and
systems |
||
|
S. Gorlatch |
Towards High-Level
Programming for Many-Cores |
|
A. Shafarenko |
Coordination programming for
self-tuning: the challenge of a heterogeneous open environment |
|
K. Miura |
Prospects for the Monte Carlo Methods in the Million Processor-core
Era and Beyond |
|
B. Lucas |
Accelerating the Multifrontal Method |
|
V. Martin-Mayor |
Quantum versus Thermal annealing
(or D-wave versus Janus): seeking a fair comparison |
|
Coffee Break |
|
Session IV |
Software and Architecture for
Extreme Scale Computing I |
|
11:35 – 12:00 |
S. Dosanjh |
Big Computing, Big Data, Big
Science |
|
E. Laure |
EPiGRAM - Towards Exascale
Programming Models |
|
M. Seager |
Beowulf meets Exascale System Software: A
horizontally integrated framework |
12:50 – 13:15 |
B. Lucas |
Adiabatic Quantum Annealing Update |
Software and Architecture for
Extreme Scale Computing II |
||
|
P. Beckman |
t.b.a. |
|
J. Shalf |
Exascale Programming Challenges: Adjusting
to the new normal for computer architecture |
|
L. Kucera |
A lower bound to energy consumption of an exascale
computer |
18:15 – 18:45 |
Coffee Break |
|
Session VI |
Brain related simulation and computing |
|
18:45 – 19:10 |
K. Amunts |
Ultra-high resolution models of
the human brain – computational and neuroscientific
challenges |
19:10 – 19:35 |
T. Lippert |
Creating the HPC Infrastructure for the Human Brain Project |
19:35 – 20:00 |
B. ter Haar Romeny |
Functional models for early vision
circuits from first principles |
20:00 – 20:10 |
Concluding Remarks |
Wednesday, July 9th
Beyond Exascale
Computing |
||
9:00 – 9:15 |
P. Messina |
Enabling technologies for beyond exascale computing |
9:15 – 9:45 |
R. Stevens |
Beyond Exascale
— What will Sustain our Quest for Performance in a Post-Moore World? |
9:45 – 10:15 |
M. Dorojevets |
Energy-Efficient Superconductor Circuits for
High-Performance Computing |
10:15 – 10:45 |
M. Troyer |
t.b.a. |
10:45 – 11:15 |
Coffee Break |
|
11:15 – 11:45 |
M. Moraes |
Scaling lessons
from the software challenges in Anton, a special-purpose machine for
molecular dynamics simulation |
11:45 – 12:15 |
P. Demichel |
New technologies that disrupt our
complete ecosystem and their limits in the race to Zettascale |
12:15 – 12:45 |
K. Bergman |
Scalable Computing Systems with
Optically Enabled Data Movement |
12:45 – 13:00 |
Concluding Remarks |
|
17:00 – 17:30 |
R. Wisniewski |
System Software for PEZ(Y) |
17:30 – 18:00 |
Coffee Break |
|
18:00
– 18:30 |
T. Sterling |
Extreme-scale Architecture in the Neo-Digital Age |
18:30 – 20:00 |
PANEL DISCUSSION “Beyond Exascale
Computing” Organized and Chaired by Paul
Messina Participants: F.Baetke
(Hewlett Packard), P. Coteus (IBM), R. Graham (Mellanox), G. Fox ( S. Matsuoka (Tokyo Institute of
Technology), P. Shalf ( V. Voevodin
( |
Thursday, July 10th
Session
VIII |
Cloud Computing technology and systems |
|
9:00 – 9:30 |
J. Qiu |
Harp: Collective Communication on Hadoop |
9:30 – 10:00 |
D. Petcu |
Overcoming the Cloud
heterogeneity: from uniform interfaces and abstract models to multi-cloud
platforms |
10:00 – 10:30 |
T. Hirofuchi |
AIST Super Green Cloud: A
build-once-run-everywhere high performance computing platform |
10:30 – 11:00 |
D. Talia |
Programming Script-based Data
Analytics Workflows on Clouds |
11:00 – 11:30 |
Coffee Break |
|
11:30 – 12:00 |
G. Lonsdale |
The Fortissimo HPC-Cloud: an
enabler for engineering and manufacturing SMEs |
12:00 – 12:30 |
J.L. Vazquez |
Clouds for meteorology, two cases study |
12:30 – 13:00 |
W. Gentzsch |
UberCloud - from Project to Product |
13:00 – 13.10 |
Concluding Remarks |
|
Big Data |
||
17:00 – 17:25 |
V. Pascucci |
The Big Gift of Big Data |
17:25 – 17:50 |
A. Choudhary |
BIG DATA
+ BIG COMPUTE = Power of Two for Scientific Discoveries |
17:50 – 18:15 |
G. Fox |
Parallelizing Data Analytics |
18:15 – 18:45 |
Coffee Break |
|
18:45 – 19:10 |
G. Joubert |
Modelling & Big Data |
19:10 – 19:35 |
E. Van
Hensbergen |
From Sensors to Supercomputers,
Big Data Begins With Little Data |
19:35– 20:00 |
C. Kesselman |
A Software as a Services based
approach to Digital Asset Management for Complex Big-Data |
|
Concluding Remarks |
Friday, July 11th
Infrastructures, Solutions and Challenging applications of HPC, Grids
and Clouds |
||
9:00 – 9:30 |
C. Catlett |
New Opportunities for Computation
and Big Data in Urban Sciences |
9:30 – 10:00 |
R. Graham |
The Exascale
Architecture |
10:00 – 10:30 |
S. Markidis |
Challenges and Roadmap for Scientific Applications at Exascale |
10:30 – 11:00 |
W. Tang |
Extreme Scale Computing Advances & Challenges in PIC Simulations |
11:00 – 11:30 |
Coffee Break |
|
11:30 – 12:00 |
P. Vashishta |
Thermomechanical Behaviour and Materials Damage: Multimillion-Billion Atom Reactive Molecular Dynamics Simulations |
12:00 – 12:30 |
P. Fischer |
Scalable Simulations of Multiscale Physics |
12:30 – 13:00 |
V. Voevodin |
Medical practice: diagnostics, treatment
and surgery in supercomputer centers |
13:00 – 13:10 |
Concluding Remarks |
Speakers
Many well known speakers from all over the world will contribute to the Workshop’s
technical programme.
The current list of speakers includes, among others:
Katrin Amunts
Structural and
Functional Organization of the Brain (INM 1) at Forschungszentrum
Jülich
Juelich
and
Structural-functional
brain mapping at
Frank Baetke
Global
HPC Programs
Academia
and Scientific Research
Hewlett Packard
Palo Alto, CA
USA
Pete Beckman
Director, Exascale Technology and Computing Institute
Argonne National Laboratory
Argonne, IL
USA
Keren Bergman
Department
of Electrical Engineering
William
Blake
Senior
VP and CTO
CRAY
Charlie Catlett
Math & Computer Science Div.
and
Computation Institute of
The
Alok Choudhary
Northwestern University
Paul Coteus
IBM Research -
Data Centric Deep Computing Systems
Patrick Demichel
Strategic
System Architect in HPC
Hewlett
Packard
USA
Jack Dongarra
Innovative Computing Laboratory
and
Mikhail Dorojevets
Stony Brook University
Dept. of Electrical and
Computer Engineering
Stony Brook, NY
USA
Sudip S. Dosanjh
Director of the National
Energy Research Scientific Computing Center
at
USA
Paul F. Fischer
Argonne National Laboratory
Argonne, IL
USA
Ian Foster
Argonne National Laboratory
and
Dept
of Computer Science
The
Geoffrey
Fox
Community
Grid Computing Laboratory
Wolfgang Gentzsch
The UberCloud and
EUDAT
GERMANY
Sergei Gorlatch
Universitaet Muenster
Institut für Informatik
GERMANY
Richard Graham
Mellanox
Sunnyvale, CA
USA
Bart
Ter Haar Romeny
Eindhoven University of
Technology
Department
of Biomedical Engineering
Biomedical
Image Analysis & Interpretation
THE
Takahiro
Hirofuchi
Information
Technology Research Institute
National
Institute of Advanced Industrial Science and Technology (AIST)
Gerhard Joubert
Carl Kesselman
Information Sciences Institute
Marina del Rey, Los Angeles, CA
Ludek Kucera
Faculty
of Mathematics and Physics
Marcel Kunze
Forschungsgruppe Cloud Computing
Karlsruhe Institute of Technology (KIT)
Steinbuch Centre for Computing (SCC)
GERMANY
Erwin Laure
KTH Royal Institute of Technology
John D. Leidel
Software Compiler Development Manager
Micron Technology, Inc.
Dallas/Forth Worth,
Thomas Lippert
Institute
for Advanced Simulation
Jülich Supercomputing Centre
and
and
John
von Neumann Institute for Computing (NIC)
also
European
PRACE IP Projects and of the DEEP Exascale Project
Guy Lonsdale
Vorstand/CEO scapos AG
Sankt
Augustin
GERMANY
Bob
Lucas
Computational
Sciences Division
Information
Sciences Institute
Stefano Markidis
KTH Royal Institute of Technology
SWEDEN
Victor Martin-Mayor
Departamento de Fisica Teorica
Universidad Complutense de Madrid
Madrid
SPAIN
Satoshi
Matsuoka
Global
Scientific Information and Computing Center
&
Department of Mathematical and Computing Sciences
Tokyo
Institute of Technology
Paul Messina
Argonne National Laboratory
Argonne, IL
Ken Miura
Center for
Grid Research and Development
National
Mark Moraes
Head Engineering Group
D.E. Shaw Research
Valerio Pascucci
Center for Extreme Data
Management, Analysis and Visualization,
Scientific
Computing and Imaging Institute
School
of Computing
and
USA
David
Pellerin
AWS High Performance Computing
AMAZON
Dana Petcu
Computer
Science Department
Judy Qiu
and
Pervasive
Technology Institute
USA
Mark Seager
CTO for HPC Systems
INTEL
Alex Shafarenko
Hatfield
John Shalf
Thomas
Sterling
and
Rick
Stevens
and
Department
of Computer Science,
The
Argonne
& Chicago
Domenico Talia
Department
of Computer Engineering, Electronics, and Systems
University of Calabria
William
M. Tang
Dept.
of Astrophysical Sciences, Plasma Physics Section
Fusion
Simulation Program
and
Princeton
Institute for Computational Science and Engineering
Princeton
USA
Matthias Troyer
Institut für Theoretische Physik
ETH Zürich
SWITZERLAND
Eric
Van Hensbergen
ARM Research
Priya Vashishta
Collaboratory for Advanced Computing and Simulations
Departments of Chemical Engineering & Materials Science, Physics
& Astronomy, and Computer Science
Jose Luis Vazquez-Poletti
Distributed Systems Architecture Research Group (DSA-Research.org)
Universidad Complutense de Madrid
SPAIN
Vladimir Voevodin
Research
Computing Center
Robert
Wisniewski
Chief Software Architect Exascale Computing
INTEL Corporation
USA
Sponsors
ARM |
|
CRAY |
|
DIMES - Department of Computer Engineering, Electronics, and Systems |
|
Dipartimento di Ingegneria dell’Innovazione Università del Salento |
|
Hewlett Packard |
|
IBM |
|
INTEL |
|
Juelich Supercomputing Center |
|
KISTI - Korea Institute of Science and
Technology Information |
|
MELLANOX TECHNOLOGIES |
|
MICRON |
|
National Research Council of |
|
PARTEC |
|
Media Sponsors
HPCwire is the leader in world-class journalism for HPC.
With a legacy dating back to 1986, HPCwire is
recognized worldwide for its breakthrough coverage of the fastest computers
in the world and the people who run them. For topics ranging from the latest
trends and emerging technologies, to expert commentary, in-depth analysis,
and original feature coverage, HPCwire delivers it
all, as the industry’s leading news authority and most reliable and trusted
resource. Visit HPCwire.com and subscribe
today! |
Free Amazon web Service credits for all
HPC 2014 delegates Amazon is very pleased to be able to
provide $200 in service credits to all HPC 2014 delegates. Amazon Web
Services provides a collection of scalable high performance and
data-intensive computing services, storage, connectivity, and integration
tools. AWS allows you to increase the speed of research and to reduce costs
by providing Cluster Compute or Cluster GPU servers on-demand. You have access to a full-bisection, high
bandwidth 10Gbps network for tightly-coupled, IO-intensive workloads, which
enables you to scale out across thousands of cores for throughput-oriented
applications. |
The UberCloud
is an online community and marketplace platform for engineers and scientists to
discover, try, and buy computing time, on demand, in the HPC Cloud, and pay
only for what you use. Please register for the UberCloud Voice Newsletter, or for performing an HPC
Experiment in the Cloud. |
Proceedings
All contributions to the Workshop are invited original
research papers not previously published.
It is planned to publish a selection of papers presented at the Workshop
in a Proceedings Volume or in a well established international journal.
Workshop venue, address and logistics
The workshop will be held at the Grand Hotel San Michele,
a charming Hotel on the Tyrrhenian coast of
The Hotel is very close to a seaside
fisherman village named Cetraro, near
Information as well as accommodation and
other local arrangements will be handled by the workshop Secretariat supervised
by:
Dr. Maria Teresa Guaglianone
Università della Calabria
87036, Rende (Cosenza), Italy
lugran @ unical.it and hpc2014
@ outlook.com
Participation, deadlines and guidelines
NO REGISTRATION FEES ARE REQUIRED FOR
PARTICIPANTS OF THE WORKSHOP.
This policy encourages wide Workshop
participation in order to increase awareness of the scientific aspects and
practical benefits of HPC Technology, Grids and Clouds, to facilitate
professional relations and to create technology transfer opportunities.
All contributions to the Workshop are
invited original research papers not previously published.
Since the number of participants will be
limited, AN
EARLY APPLICATION IS RECOMMENDED.
Please use the Registration form here attached
Enquiries
about the technical programme and applications for participation in the
workshop should be sent to:
HPC Workshop 2014
Prof. Lucio Grandinetti
Dipartimento di Ingegneria Informatica, Modellistica,
Elettronica e Sistemistica – Università della Calabria
87036 Rende - Cosenza - Italy
Phone: +39-3351244747
Fax: +39-984-494847
e-mail: lugran @ unical.it and hpc2014
@ outlook.com
Local arrangements
Information
as well as accommodation, local transportation and other local arrangements
will be handled by the workshop Secretariat supervised by:
Dr. Maria Teresa Guaglianone
Università della Calabria
87036 Rende,
lugran @ unical.it and hpc2014
@ outlook.com
Accommodation
Two accommodation types are available at the workshop’s hotel:
1. Rooms in the main hotel building
Type
of Accommodation |
Price
in Euros |
Single room |
170,00 |
Double room (double occupancy) |
140,00 p.p. |
Double room (used as single) |
210,00 |
Suite (multiple occupancy) |
190,00 p.p. |
All prices are intended PER
PERSON, PER DAY.
They include accommodation and
full board (breakfast, lunch, dinner).
The Hotel’s number of rooms
available is limited. The single rooms are very few.
An early booking is recommended.
2. Rooms in the Hotel annex buildings “maisonnettes”
The “Maisonnettes”
are Hotel annex buildings, located within a green park, at a walking distance
from the main building and the congress center.
The “Maisonnettes”
can accommodate one/two/three/four persons.
This type of accommodation is particularly
suitable for small groups or families.
The price is 110 Euro for single occupancy
and 90 Euro for multiple occupancy.
The price is per person, per day, covering both accommodation and full board
(breakfast, lunch, dinner).
The price per person in a double room
(main Hotel building) or in a multiple occupancy (“Maisonnettes”)
refers to workshop participants.
The case of special arrangements (e.g.
children accommodation, suite accommodation, etc.) is handled by the Workshop
Secretariat.
The number of rooms available is
very limited.
An early booking is recommended.
Hotel reservations will be managed by the
Workshop Secretariat (lugran @ unical.it and hpc2014 @ outlook.com)
Please use the ACCOMMODATION FORM
to specify the accommodation required.
Local transportation
A pick up service will be provided, free of charge, to
those who will fill in the
Website Updating
The information given in this website and
the relevant links will be updated day by day.
Therefore, the interested people are
invited to visit the site frequently.
The final Programme of the Workshop edition HPC2012 is still available
on the website http://www.hpcc.unical.it/hpc2012 for inspection by those who wish to have a flavour of the HPC
Workshop series structure and style.
In addition, the books mentioned
hereinafter, published on October 2013, are based on a selection of papers
presented at HPC 2012 and refereed before publication:
D’Hollander,
E.H., Dongarra, J.J., Foster, I., Grandinetti, L., Joubert,
G.R. (Eds) 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
Catlett, C., Gentzsch, W., Grandinetti, L., Joubert,
G.R., Vazquez-Poletti, J.L. (Eds)
Cloud Computing and Big Data, IOS Press, Amsterdam, 2013, pages 264, Volume 23
of Advances in Parallel Computing, ISBN 978-1-61499-321-6