From Clouds and Big Data to Exascale and Beyond
An International Advanced Workshop
Cetraro –
Sustained progress in computational hardware and software technologies,
ranging from hybrid CPU/GPU systems, multicore and distributed architectures,
increased density, and virtualization, to relatively new paradigms such as
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,
applications, and paradigms.
The main aim of this workshop is to present and debate advanced topics,
open questions, current and 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 blocks 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, UberCloud, and many more are now offering
HPC-focused infrastructure, platform, and application services. However,
careful application benchmarking of different cloud infrastructures still have
to be performed to find out which HPC cloud architecture is best suited for a
specific application.
Further, though industry providers build redundancy and fault-tolerance
into their systems, there are nonetheless large-scale failures possible,
similar to in-house supercomputers, and thus application and service providers
must begin to consider a multi-source strategy, raising issues of cloud service
interoperation and standard APIs. One solution is currently showing up with new
software container technologies that enable portability between different
computing resources. These provide ease of porting to, and use of, diverse
computing resources while maintaining the scalability of applications and
architectures.
Strongly related to the topic of clouds is Green IT, because the cloud
approach is also making computing 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 improve system utilization and avoid wasting the
energy used to power them. The IT consulting firm Accenture estimates that
companies could cut energy consumption and carbon emissions by 30 percent by
switching over to the cloud architectures, for instance.
From an application standpoint, 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 to multicore
and hybrid. As exascale systems move toward millions
of processing units the interplay between system and user software, compilers
and middleware, 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?
Finally, discussions and presentations related to emerging and
strategically challenging application areas will also be an important part of
the workshop. A special emphasis will be given to the potential of
computational modeling and advanced analytics related to urban systems,
including the associated diverse data sources and streams. Similarly, the challenges of data integration
and use for new types of data sources such as the Internet of Things, will be
examined. These and other new application areas enabled by new sources of data,
including IoT and sensor networks, represent an
interesting new set of HPC challenges.
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, scaling, fault
tolerance, and emerging application topics. The four and a half day program of
this workshop will include roughly fifty invited talks and associated panels by
experts in the field.
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 and Containerization
◦ Programming Models and Runtime Environments
◦ Languages and Compilers for Parallel Systems
◦ Software Development Tools and Environments
◦ Middleware for (Distributed) Data Management, Data Analytics, etc.
· Application Software for HPC and other Advanced Applications:
◦ Algorithms
◦ Large Scale Data Processing and Analysis (Big Data)
◦
◦ 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
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. The program will include
several sessions on Clouds, “Big Data,” Urban science challenges, and Exascale Computing, all of which will play an
important role in the workshop programme.
Invited speakers from at least two dozen countries, and from different sectors,
public and private, will debate the most critical issues related to their
development strategies for Research and Enterprise.
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 Enterprise
Palo Alto, CA
USA
Peter Beckman
Argonne National
Laboratory
Argonne, IL
USA
Charlie Catlett
Argonne National
Laboratory
Argonne, IL
and
Computation Institute of
The University of Chicago and Argonne National
Laboratory
Chicago, IL
USA
Giuseppe De Pietro
National Research Council of
Italy
ICAR - Institute for High
Performance Computing and Networks
Naples
Italy
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
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
GERMANY
Vladimir
Getov
Dept of Engineering
Faculty of Science and
Technology
University of Westminster
London
U.K.
Gerhard Joubert
Technical University Clausthal
GERMANY
Erwin Laure
KTH Royal Institute of
Technology
Stockholm
SWEDEN
Craig
A. Lee
Computer
Systems Research Department
The
Aerospace Corporation
El
Segundo, CA
USA
Thomas Lippert
Institute for Advanced
Simulation
Juelich Supercomputing
Centre
Forschungszentrum Juelich
Juelich
GERMANY
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
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
Mark Seager
CTO for HPC Systems
INTEL
Satoshi Sekiguchi
Director General, Department
of Information Technology and Human Factors
National Institute of
Industrial Science and Technology (AIST)
Thomas Sterling
Professor,
Chief Scientist and Associate
Director, CREST
Rick Stevens
Argonne National Laboratory
Argonne, IL
USA
Domenico Talia
Department
of Computer Engineering, Modelling, Electronics, and Systems
University of Calabria
ITALY
William Tang
Princeton
Institute for Computational Science and Engineering
Princeton
University
Princeton,
NJ
USA
Co-Organizers
L. GRANDINETTI
T. LIPPERT Juelich
Supercomputing
Organizing Committee
L. GRANDINETTI (Co-Chair) (
T. LIPPERT (Co-Chair) (
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Ø M. ALBAALI |
( |
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Ø C. CATLETT |
( |
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Ø J. DONGARRA |
( |
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Ø W. GENTZSCH |
( |
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Ø O. PISACANE |
( |
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Ø M. SHEIKHALISHAHI |
( |
Legenda:
t.b.a.: to be announced
Monday, June 27th
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State of the art and future scenarios |
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9:00 – 9:15 |
Welcome Address |
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9:15 – 9:45 |
J. DONGARRA |
An Overview of HPC and the
Changing Rules at Exascale |
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P. BECKMAN |
What can we Change? |
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I. FOSTER |
Accelerating discovery with science
services |
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S. MATSUOKA |
From FLOPS to BYTES: Distruptive
End of |
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Coffee Break |
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R. STEVENS |
DOE-NCI
Joint Development of Advanced Computing Solutions for Cancer |
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C. KESSELMAN |
Big
Data and The Internet of Important Things |
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12:45 – 13:00 |
Concluding Remarks |
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Emerging computer systems and solutions |
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16:30 – 17:00 |
F. BAETKE |
Trends
in System Architectures: Towards “The Machine” and Beyond |
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17.00 – 17:25 |
K. SOLCHENBACH |
The
Challenges of Exascale Computing |
|
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A. TATE |
Towards
Support of Highly-Varied Workloads on Supercomputers |
|
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E. VAN HENSBERGEN |
ARM’s
Path to Exascale |
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Coffee Break |
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T.B.A. |
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19:10 - 19:35 |
T. HOSOMI |
Big
Data Analytics on Vector Processor |
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19:35 – 20:00 |
B. BOUFFLER |
HPC
clusters as code in the (almost) infinite cloud |
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Concluding Remarks |
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Tuesday, June 28th
|
Advances in HPC technology and systems |
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S. GORLATCH |
Using Modern C++ with Multi-Staging for
Unified Programming on GPU Systems |
|
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M. COPPOLA |
Generic Packet Processing Unit a novel way
to implement low cost and efficient FPGA computing |
|
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V. GETOV |
Application-Specific Energy Modeling of Multi-Core Processors |
|
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J. NABRZYSKI |
Topology, Application and User Behavior Aware Job Resource Management in
Multidimensional Torus-Based HPC Systems |
|
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J. SHALF |
Open Source HPC Hardware |
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11:05 – 11:15 |
Concluding Remarks |
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11:15 – 11:45 |
Coffee Break |
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Session
IV |
Software and Architecture for Extreme Scale
Computing I |
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11:45 – 12:10 |
S. DOSANJH |
Preparing Applications for Next Generation Architectures |
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12:10 – 12:35 |
G. FOX |
Application and Software Classifications
that motivate Big Data and Big Simulation Convergence |
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12:35 – 13:00 |
R. BRIGHTWELL |
The Myth of a Converged Software Stack for HPC
and Big Data |
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Software and Architectures for Extreme
Scale Computing II |
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16:30 – 17:00 |
T. LIPPERT |
t.b.a. |
|
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J. AHRENS |
Envisioning Human-in-the-loop Interactions with
Massive Scientific Simulations and Experiments in the Age of Exascale HPC and Big Data |
|
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S. MARKIDIS |
Towards a Continuous Description of Compute and
Idle Phases in Scientific Parallel Applications |
|
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V. VOEVODIN |
How Well Do We Know Properties of Parallel
Algorithms? |
|
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Coffee Break |
|
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18:45 – 19:15 |
T. HOEFLER |
Progress in automatic GPU compilation and
why you want to run MPI on your GPU |
|
19:15 – 19:45 |
G. BLOCH |
Exascale by
Co-Design Architecture |
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19:45 – 20:00 |
Concluding Remarks |
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Wednesday, June 29th
|
Session VI |
Exascale Computing and Beyond |
|
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R. STEVENS |
The potential to augment HPC systems with
Neuromorphic Computing Accelerators |
|
|
T. |
The Asymptotic Computer - Undoing the
Damage |
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S. RUMLEY |
Role of Optical Interconnects in Extreme
Scale Computing |
|
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S. PAWLOWSKI |
Convergence of Memory and Computing |
|
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P. |
A Path to Exascale |
|
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Coffee Break |
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11:35 – 12:00 |
T. SCHULTHESS |
t.b.a. |
|
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J. ANG |
Exascale System and Node Architectures: The |
|
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J. SHALF |
Exascale will be successful by 2025 ….and then
what? |
|
12:50 –13:00 |
Concluding Remarks |
|
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Session VII |
Cloud Computing Technology and Systems |
|
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15:45
– 16:10 |
C. LEE |
Update on a Keystone-based General
Federation Agent |
|
16:10
– 16:35 |
S. TUECKE |
Globus Auth
Identity and Access Management |
|
16:35
- 17:00 |
S. NATIVI |
High Performance Analytics Services and
Infrastructures for Addressing Global Changes: the GEOSS perspective |
|
17:00
– 17:25 |
D. CHADWICK |
Homogeneous authorization policies in
heterogeneous IAAS clouds |
|
17:25
– 17:50 |
B.
DI MARTINO |
Semantic Technologies to support Cloud
Applications’ Portability and Interoperability on Multiple Clouds |
|
17:50
– 18:15 |
J.
QIU |
Convergence
of HPC and Clouds for Large-Scale Data Enabled Science |
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Coffee Break |
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PANEL DISCUSSION: What is Capable Exascale Computing? Chairman P. MESSINA, Argonne National
Laboratory, |
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BIG
DATA Challenges and Perspectives I |
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V. PASCUCCI |
Extreme Data Management Analysis and
Visualization for Exascale Supercomputers |
|
9:25 – 9:50 |
F. SULLIVAN |
Merging Data Science and Large Scale
computational Modeling |
|
9:40 – 10:15 |
G. FOX |
Implementing parts of HPC-ABDS in a
multi-disciplinary collaboration |
|
10:15 – 10:40 |
M. PARASHAR |
Big Data Challenges in Simulation-based
Science |
|
10:40 – 11:05 |
Y. LU |
Convergence of HPC and Bigdata |
|
11:05 – 11:35 |
Coffee Break |
|
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P. MARTIN |
Consumable Analytics for Big Data |
|
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D. TALIA |
From Clouds to Exascale: Programming Issues
in Big Data Analysis |
|
12:50 – 13:00 |
Concluding Remarks |
|
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Session IX |
BIG DATA Challenges and Perspectives II |
|
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16:00 – 16:25 |
C. CATLETT |
A Proposed Exascale
Agenda for Urban Sciences |
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16:25 – 16:50 |
|
Borrowing Concepts from Social Media to
Enable Integration of Large-Scale Sensitive Data Sets |
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16:50 – 17:15 |
B. GOLDSTEIN |
The New Code of Ethics: Justice and
Transparency in the Age of Big Data and Deep Learning |
|
17:15 – 17:40 |
B. BHADURI |
Landscape Dynamics, Geographic Data and
Scalable Computing: The |
|
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E. BEINAT |
Collective Sensing and large-scale
predictions: two case studies |
|
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Coffee Break |
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18:30-20:00 |
PANEL DISCUSSION The Potential for Deep Learning to Harness Increasing Flows of Urban
Data Organized and Chaired by
C. Catlett, Argonne National Laboratory, |
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Friday, June 28th
|
Challenging applications of HPC and Clouds |
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9:00 – 9:30 |
W. GENTZSCH |
Toward Democratization of HPC with Novel
Software Containers |
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9:30 – 10:00 |
S. SHANKAR |
Co-design
3.0 – Configurable Extreme Computing leveraging for Real
Applications |
|
10:00 – 10:30 |
K. PUDENZ |
Quantum
Annealing and the Satisfiability Problem |
|
10:30 – 11:00 |
D. KEYES |
CFD Codes on Multicore and Manycore Architectures |
|
11:00 – 11:30 |
Coffee Break |
|
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11:30 – 12:00 |
W. TANG |
Kinetic Turbulence Simulations on Top
Supercomputers Worldwide |
|
12:00 – 12:30 |
U. RUEDE |
Lattice
Boltzmann methods on the way to exa-scale |
|
12:30 – 12:45 |
Concluding Remarks |
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Speakers (provisional)
Jim Ahrens
Los Alamos National Laboratory
Los Alamos,
USA
James A. Ang
Exascale Computing Program
Center for Computing Research
Sandia National Laboratories
Frank Baetke
HPC in Academia and Scientific Research
Hewlett
Packard
Palo Alto, CA
USA
Peter Beckman
Exascale Technology and Computing Institute
Argonne
National Laboratory
Argonne,
IL
USA
Isabel Beichl
National
USA
Euro Beinat
Budhendra
Bhaduri
Urban/
Oak Ridge,
Gil Bloch
Mellanox Technologies
Sunnyvale, CA
USA
Brendan Bouffler
Scientific Computing
Amazon Web Services
Ronald Brightwell
Sandia National Laboratories
USA
Charlie Catlett
Math & Computer
Science Div.
Argonne
National Laboratory
Argonne,
IL
and
Computation Institute of
The
Eugenio Cesario
National Research Council of
ICAR – CNR
Rende – Cosenza
ITALY
David Chadwick
Marcello Coppola
STMicroelectronics
Grenoble
FRANCE
Beniamino Di Martino
Department of Industrial and Information Engineering
Jack Dongarra
Innovative Computing Laboratory
Computer Science Dept.
University of
Tennessee
Knoxville, TN
USA
Sudip S.
Dosanjh
National Energy
Research Scientific Computing Center
Lawrence Berkeley National
Laboratory
Berkeley, CA
USA
Ian
Foster
Math & Computer
Science Div.
Argonne National
Laboratory
Argonne, IL
and
Dept of Computer Science
The University of Chicago
Chicago, IL
USA
Geoffrey
Fox
Community Grid
Computing Laboratory
Indiana University
Bloomington, IN
USA
Wolfgang Gentzsch
The UberCloud
GERMANY
Vladimir Getov
Department of Engineering
Faculty of Science and Technology
Brett Goldstein
Chicago,
Sergei Gorlatch
Universitaet Muenster
Institut für Informatik
Muenster
GERMANY
Torsten Hoefler
Scalable Parallel Computing Lab
Computer Science Department
ETH Zurich
Zurich
SWITZERLAND
Takeo Hosomi
System Platform Research Laboratories
NEC
Kanagawa
JAPAN
Carl Kesselman
Information Sciences Institute
University of Southern California
Marina del Rey, Los Angeles,
CA
USA
David Keyes
King Abdullah University of Science and Technology
Thuwal
SAUDI ARABIA
Julia Lane
Wagner School
Center for Urban Science and
Progress
New York University
New York, NY
USA
Craig Lee
Computer Systems Research Dept.
The Aerospace
Corporation
El
Segundo, CA
USA
Thomas Lippert
Juelich Supercomputing Centre
Forschungszentrum Juelich
Juelich
Yutong
Lu
Stefano Markidis
KTH Royal Institute of Technology
Patrick Martin
School of Computing
Queen’s University
Satoshi Matsuoka
Global Scientific Information and Computing Center
& Department of Mathematical and Computing
Sciences
Tokyo Institute of Technology
Paul Messina
DOE Exascale
Computing Project
Argonne
National Laboratory
Argonne,
IL
USA
Jarek
Nabrzyski
Department of Computer Science and Engineering
and
Center for Research Computing
and
Notre Dame, Indiana
USA
Stefano Nativi
National Resarch Council of
Manish Parashar
Dept. of Computer Science
Rutgers
University
Piscataway,
NJ
USA
Valerio Pascucci
Center for Extreme Data Management, Analysis and
Visualization,
Scientific Computing and Imaging Institute,
School of Computing
and
USA
Stephen Pawlowski
Advanced Computing Solutions
Micron Technology
Portland, OR
USA
Kristen Pudenz
Quantum Applications Engineering
Lockheed Martin
Fort Worth,
USA
Judy Qiu
and
Pervasive Technology Institute
USA
Ulrich Ruede
Lehrstuhl fuer Simulation
Universitaet Erlangen-Nuernberg
Sébastien
Rumley
Lightwave Research Laboratory
Department of Electrical Engineering
Thomas Schulthess
CSCS
Swiss National Supercomputing Centre
Lugano
and
ETH
Zurich
SWITZERLAND
John Shalf
Computing Research Division
and
National Energy Research Supercomputing Center
USA
Sadasivan Shankar
Harvard
School of Engineering and Applied Sciences
Cambridge,
USA
Karl Solchenbach
Intel
Exascale Labs Europe
GERMANY
Thomas Sterling
and
Rick Stevens
and
Department of Computer Science, The
Argonne and
Francis Sullivan
IDA/Center for Computing
Sciences
Domenico Talia
Department of Computer Engineering, Electronics, and
Systems
William Tang
Dept. of Astrophysical Sciences, Plasma Physics
Section
Fusion Simulation Program
and
Princeton Institute for Computational Science and
Engineering
Adrian Tate
Cray EMEA Research Lab
United Kingdom
Steve Tuecke
Computation Institute
The
Chicago,
USA
Eric Van Hensbergen
ARM Research
USA
Vladimir Voevodin
Moscow State University
Research Computing Center
Moscow
RUSSIA
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Amazon Web Services |
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ARM |
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CRAY |
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CSCS – Swiss National Supercomputing Center |
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Hewlett Packard Enterprise |
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INTEL |
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JUELICH SUPERCOMPUTING CENTER, Germany |
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MELLANOX TECHNOLOGIES |
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MICRON TECHNOLOGY |
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NEC |
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SCHNEIDER ELECTRIC |
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Dipartimento di Ingegneria
dell’Innovazione Università del Salento |
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Università della Calabria |
UNIVERSITÀ DELLA CALABRIA |
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National Research Council of |
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Media Partners
|
Free Amazon web Service credits for all
HPC 2016 delegates Amazon is very pleased to be able to
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cores for throughput-oriented applications. |
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|
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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
cetrarohpc2016
@ gmail.com and
lugran @ unical.it
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 2016
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:
cetrarohpc2016 @ gmail.com and lugran @ unical.it
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,
e-mail:
cetrarohpc2016 @ gmail.com and lugran @ unical.it
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 (e-mail:
cetrarohpc2016 @ gmail.com and lugran @
unical.it)
Please use the ACCOMMODATION FORM
to specify the accommodation required.
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 HPC2014 is still available on the
website http://www.hpcc.unical.it/hpc2014 for inspection by those who wish to have a flavour of the HPC
Workshop series structure and style.
The
following books are mostly related to presentations given at very recent
editions of the HPC workshop series:
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.
Grandinetti,
L., Joubert, G., Kunze, M., Pascucci, V. (Eds.) Big Data and High Performance
Computing, IOS Press, Amsterdam 2015, volume 26 of the book series Advances in
Parallel Computing, ISBN 978 – 1- 61499 – 582 – 1 (print).
