From Clouds and Big Data to Exascale
and Beyond
An International Advanced Workshop
Cetraro – Italy,
July 2 – 6, 2018
Main Aim
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.:
◦ Quantum
Computing
◦ Machine
Learning
◦ 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)
◦ 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
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”, Quantum Computing, Machine Learning 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
University
of Calabria – UNICAL
and
Center
of Excellence for High Performance Computing
ITALY
Jim Ahrens
Los Alamos National
Laboratory
Los Alamos, NM
USA
Giovanni Aloisio
Department
of Innovation Engineering
University
of Salento
ITALY
Frank Baetke
formerly
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
USA
Sudip S. Dosanjh
Director of
the National Energy Research Scientific Computing Center
at
Lawrence Berkeley National Laboratory
Berkeley, CA
USA
Ian Foster
Argonne National Laboratory
Data Science and Learning Division
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
Regensburg
GERMANY
and
Sunnyvale, CA
USA
GERHARD JOUBERT
Technical University Clausthal
Germany
Erwin Laure
KTH Royal
Institute of Technology
Stockholm
SWEDEN
Craig Lee
Computer Systems Research Dept.
The Aerospace Corporation
El Segundo, CA
USA
Thomas Lippert
Institute
for Advanced Simulation
Juelich Supercomputing
Centre
Forschungszentrum Juelich
Juelich
GERMANY
Ignacio Llorente
Institute
for Applied Computational Science
Harvard
School of Engineering and Applied Sciences
Harvard
University
Cambridge,
MA
USA
and
OpenNebula
Project
and
Dpt. de Arquitectura de Computadores y Automática
Universidad
Complutense de Madrid
SPAIN
Yutong Lu
Director,
National Supercomputer Center in Guangzhou
Guangzhou
Higher Education Mega Center
Guangzhou
CHINA
ROBERT LUCAS
Information Sciences Institute
and
USC-Lockheed Martin Quantum Computation
Center
Los Angeles, CA
USA
Satoshi Matsuoka
RIKEN
Center for Computational Science
Kobe
and
Department
of Mathematical and Computing Sciences
Tokyo
Institute of Technology
Tokyo
JAPAN
Paul Messina
Argonne National Laboratory
Argonne, Illinois
USA
Manish Parashar
Dept. of
Computer Science
Rutgers University
Piscataway, NJ
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
USA
Thomas Sterling
Professor, School of Informatics and
Computing
Chief
Scientist and Associate Director, CREST
Indiana University
Bloomington, IN
USA
Rick Stevens
Argonne National
Laboratory
Argonne, IL
USA
FRANCIS SULLIVAN
IDA/Center for Computing Sciences
Bowie,
Maryland
USA
Vladimir Voevodin
Moscow
State University ‘Lomonosov’
Moscow
Russia
Organizing Committee
L. GRANDINETTI (Co-Chair) (ITALY)
T. LIPPERT (Co-Chair) (GERMANY)
Ø M. ALBAALI (OMAN)
Ø C. CATLETT (USA)
Ø J. DONGARRA (USA)
Ø W. GENTZSCH (GERMANY)
Ø P. BECKMAN (U.S.A.)
Ø M.
SHEIKHALISHAHI (ITALY)
Legenda:
t.b.a.:
to be announced
Monday, July 2nd
Tuesday, July 3rd
|
Advances in HPC technology and systems,
architecture and software |
||
|
9:00 - 9:25 |
M. SHULAKER |
Next-Generation
Computing: Transitioning Beyond-Silicon Technologies from Idea to Reality |
|
9:25 – 9:50 |
R. WISNIEWSKI |
Who [Should] Care about HPC Software |
|
9:50 – 10:15 |
M. DOSANJH |
The Upcoming Storm: The Implications of
Increasing Core Count on Scalable System Software |
|
10:15 – 10:40 |
S. GORLATCH |
A Systematic Approach to Developing
High-Performance, Portable GPU Programs |
|
|
V. VOEVODIN |
How To
Go Beyond the Limitations of the Current Benchmarking Methodology? |
|
|
Coffee Break |
|
|
Session
IV |
Extreme Scale Computing |
|
|
11:35 - 12:00 |
Y. LU |
Towards Next Generation Chinese
Supercomputer |
|
12:00 – 12:25 |
R. BRIGHTWELL |
Challenges and Opportunities for HPC
Interconnects |
|
12:25 – 12:50 |
M. TAUFER |
Modeling the Next-Generation High
Performance Schedulers |
|
12:50 – 13:00 |
Concluding Remarks |
|
|
AI on HPC Platforms |
||
|
16:45 – 17:15 |
W. TANG |
Deep Learning Acceleration of Progress
toward Delivery of Fusion Energy |
|
17:15 – 17:45 |
P. BECKMAN |
Artificial
Intelligence at the Edge: How Deep Learning is transforming research at the
edge |
|
17:45 – 18:15 |
J. AHRENS |
Adaptive
Decision Making and Improved Data Understanding for Experimental Science
Using Statistical Machine Learning and High Performance Computing |
|
|
Coffee Break |
|
|
18:45 - 19.15 |
R. YOKOTA |
Scaling Deep Learning to Thousands of GPUs |
|
19:15 - 19:45 |
Y. NAKAMURA |
Machine Learning on In-house HPC |
|
19:45 – 20:00 |
Concluding Remarks |
|
Wednesday, July 4th
|
Session VI |
The QUANTUM COMPUTING Promises I |
|
|
9:00 – 9:25 |
C. WILLIAMS |
D-Wave’s Approach to Quantum Computing:
Past, Present, and Future |
|
9:25 -9:50 |
M. |
Acqua: Building Chemistry, AI and Optimization Quantum
Applications |
|
9:50-10:15 |
J. CARTER |
Quantum Processing Units: A Post-Exascale Accelerator? |
|
10:15-10:40 |
M. MOHSENI |
Towards quantum-assisted optimization and machine
learning on Google Quantum Cloud |
|
10:40 - 11:05 |
K. MICHIELSEN |
Simulation on and HPC simulation of quantum
computers and quantum annealers |
|
11:05-11:30 |
Coffee Break |
|
|
11:30 -11:55 |
K. TAKEMOTO |
Digital Annealer:
Quantum-inspired Computing for Combinatorial Optimization Problems |
|
11:55-12:20 |
G. CHIRIBELLA |
Data Compression for Quantum Population
Coding |
|
12:20 –12:45 |
I. HEN |
Power of Analog Quantum Computers: Theory
and Reality |
|
12:45 - 13.00 |
Concluding Remarks |
|
|
Session
VII |
The QUANTUM COMPUTING Promises II |
|
|
16:00 -16:30 |
F.PETRUCCIONE |
Supervised learning on quantum computers |
|
16:30 -17:00 |
A. SAXENA |
Beyond Moore’s Law: Quantum Computing at Los
Alamos |
|
17:00 – 17:30 |
R. BISWAS |
Quantum Computing at NASA |
|
17:30 – 18:00 |
N. ALLEN |
Quassical Computing |
|
18:00 – 18:30 |
Coffee Break |
|
|
18:30 -20:00 |
PANEL DISCUSSION: The Intersection of Quantum
Computing and HPC Chairmen: J. Carter and S. Dosanjh, Lawrence |
|
Thursday, July 5th
|
Session
VIII |
BIG DATA Challenges and Perspectives |
|
|
9:00 – 9:25 |
V. PASCUCCI |
t.b.a. |
|
9:25 – 9:50 |
A. WANG |
Kakute: A Precise, Unified
Information Flow Analysis System for Big-data Security |
|
9:50 – 10:15 |
J. QIU |
High-Performance Big Data Computing with Harp-DAAL |
|
10:15 – 10:40 |
M. PARASHAR |
Scientific Workflows, Big Data, and
Extreme-Scales: Challenges, Opportunities and Some Solutions |
|
10:40 – 11:05 |
I. ALTINTAS |
The
Future is Collaborative: Paving the Way for a Collaborative Computational
Data Science Ecosystem for Big Data and Big Compute |
|
11:05-11:35 |
Coffee Break |
|
|
11:35 – 12:00 |
S. DOSANJH |
Extreme Scale Data Analysis and Machine
Learning for Science |
|
12:00 – 12:25 |
M. TAUFER |
Challenges
in big data computing on HPC platforms |
|
12:25 – 12:50 |
F. SULLIVAN |
Sometimes the Complexity Really IS Exponential |
|
12:50 – 13:00 |
Concluding Remarks |
|
|
Session
IX |
Cloud Computing Technology and Systems |
|
|
16:30 – 17:00 |
C. LEE |
Cloud
Federation as an Evolutionary Path from Grid Computing |
|
17:00 – 17:25 |
F. BRASILEIRO |
Fogbow:
a Middleware for the Federation of IaaS Cloud Providers |
|
17:25 – 17:50 |
A. LOPEZ GARCIA |
Deploying
Complex User Applications over Hybrid Cloud Deployments Based on Open
Standards |
|
17:50 – 18:15 |
G. DONVITO |
The
Evolution of the EOSC in the Context of the EOSC-Hub Project |
|
18:15 – 18:45 |
Coffee Break |
|
|
18:45-19:15 |
A. CHOUDHARI |
Accelerating Materials Design and Discovery
with Data Science and Machine Learning |
|
19:15 -19:45 |
B. BOUFFLER |
HPC in
the Cloud – and update from the field |
|
19:45 – 20:00 |
Concluding Remarks |
|
Friday, July 6th
|
Challenging Applications of HPC and Clouds |
||
|
9:00 – 9:25 |
T. LIPPERT |
Technical
Challenges of Exascale Supercomputing |
|
9:25 – 9:50 |
K. AMUNTS |
THE HUMAN BRAIN ATLAS – why do we need
supercomputers? |
|
9:50 – 10:15 |
W. GENTZSCH |
Moving
Towards Personalized Medicine - Simulating the Living Heart and the Living
Brain with Cloud HPC |
|
10:15 – 10:40 |
F. STREITZ |
Multi-scale simulation
of Ras proteins on lipid bilayers |
|
10:40 – 11:05 |
V. GETOV |
Application Performance of Physical System Simulations |
|
11:05 – 11:35 |
Coffee Break |
|
|
11:35 – 12:00 |
D. TALIA |
High-Level
Operations for Programming Social Data Analysis on Clouds |
|
12:00- 12:25 |
K. MIURA |
MRG8:Random Number Generator for the
Million-plus core Era |
|
12:25 – 12:50 |
K. KOSKI |
Road
towards exascale – comments on the practical and
economical aspects |
|
12:50 – 13:00 |
Concluding Remarks |
|
Speakers
Jim Ahrens
Los
Alamos National Laboratory
Los
Alamos, NM
USA
Ned Allen
Lockheed – Martin Corporation
Bethesda, MA
USA
Ilkay Altintas
San Diego Supercomputer
Center
and
Computer Science and Engineering Department
University of
California at San Diego
San Diego, CA
USA
Katrin Amunts
Human Brain Project
Chair of The Science and Infrastructure Board /
Scientific Research Director
Institute for Neuroscience and Medicine
Structural and Functional Organisation of the Brain
Forschungszentrum Juelich GmbH, Juelich
Juelich, Germany
and
Institute for Brain Research
Heinrich Heine University Duesseldorf
University Hospital Duesseldorf
Duesseldorf, Germany
Peter Beckman
Exascale Technology and Computing Institute
Argonne National Laboratory
Argonne, IL
USA
Rupak Biswas
Exploration Technology Directorate
High End Computing Capability Project
NASA Ames Research Center
Moffett Field, CA
USA
Gil Bloch
HPC and Artificial Intelligence Arch
Mellanox Technologies
Sunnyvale, CA
USA
Brendan Bouffler
Scientific Computing
Amazon Web Services
London
UNITED KINGDOM
Francisco Brasileiro
Distributed Systems Lab
System and Computing Department
Federal University of Campina Grande
Campina Grande
BRAZIL
Ronald Brightwell
Center for
Computing Research
Sandia National Laboratories
Albuquerque, NM
USA
Jonathan Carter
Computing Sciences Area
Computational Research Division
Lawrence Berkeley National Laboratory
Berkeley, CA
USA
Giulio Chiribella
Department of Computer Science
University of Oxford
Oxford
UNITED KINGDOM
and
Department of Computer Science
The University of Hong Kong
Hong Kong
CHINA
Alok Choudhary
McCormick School of Engineering
EECS Department
and
Kellogg School of Management
Northwestern University
Evanston, IL
USA
Jack Dongarra
Innovative
Computing Laboratory
Computer
Science Dept.
University of Tennessee
Knoxville, TN
USA
Giacinto Donvito
INFN - Istituto Nazionale di Fisica Nucleare
EOSC – Hub
Technology
Bari
ITALY
Matthew Dosanjh
Center for Computing Research
SANDIA
National Laboratories
Albuquerque,
NM
USA
Sudip S. Dosanjh
National Energy Research Scientific Computing Center
Lawrence
Berkeley National Laboratory
Berkeley, CA
USA
Nicolas Dube
Exascale Systems Technology
HPe
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
School of Informatics, Computing and Engineering
Department of Intelligent Systems Engineering
and
Digital
Science Center
and
Data Science program
University of Indiana
Bloomington, IN
USA
Wolfgang Gentzsch
The UberCloud
Regensburg
GERMANY
and
Sunnyvale, CA
USA
Vladimir
Getov
Department of Engineering
Faculty of Science and Technology
University of Westminster
London
UNITED KINGDOM
Sergei Gorlatch
Universitaet Muenster
Institut
für Informatik
Muenster
GERMANY
Itay Hen
University
of Southern California
Information
Sciences Institute
Los
Angeles, CA
USA
Martin Hilgeman
High
Performance Computing
DELL EMC
Amsterdam
THE
NETHERLANDS
Vinod Kamath
LENOVO
Data
Center Group
Morrisville, North Carolina
USA
Carl Kesselman
Department
of Industrial and Systems
Engineering
and
Information
Sciences Institute
University
of Southern California
Marina
del Rey, Los Angeles, CA
USA
Hiroaki Kobayashi
Architecture Laboratory
Department of Computer and Mathematical Sciences
Tohoku University
Sendai Miyagi
JAPAN
Kimmo Koski
CSC - IT
Center for Science
Espoo
FINLAND
Craig Lee
Computer Systems Research Dept.
The
Aerospace Corporation
El
Segundo, CA
USA
Thomas Lippert
Juelich Supercomputing Centre
Forschungszentrum Juelich
Juelich
GERMANY
Álvaro López García
Advanced Computing and e-Science
Instituto de Fisica de Cantabria - IFCA
Spanish National Research Council (CSIC)
Santander
SPAIN
Yutong Lu
National Supercomputer
Center in Guangzhou
Guangzhou Higher Education Mega Center
Guangzhou
CHINA
Satoshi Matsuoka
RIKEN Center for Computational Science
Kobe
and
Department of Mathematical and Computing Sciences
Tokyo Institute of Technology
Tokyo
JAPAN
Kristel
Michielsen
Institute for
Advanced Simulation
Quantum Information Processing Group
Jülich Supercomputing Centre
Forschungszentrum Jülich
Jülich
and
RWTH Aachen University
Aachen
GERMANY
Kenichi
Miura
Fujitsu Laboratories
of America
and
Lawrence Berkeley National
Laboratory
Sunnyvale, CA
USA
Masoud Mohseni
Quantum Artificial
Intelligence Laboratory
Google Inc.
Venice, CA
USA
Mark
Moraes
Engineering Department
D. E. Shaw Research
New York, N.Y.
USA
Yuichi Nakamura
Central Research
Laboratories
NEC
Kanagawa
JAPAN
Manish Parashar
Dept. of Computer Science
Rutgers University
Piscataway, NJ
USA
Valerio
Pascucci
University of Utah
Center for
Extreme Data Management, Analysis and Visualization,
Scientific Computing and Imaging Institute,
School of Computing
and
Pacific Northwest National Laboratory
Salt Lake City, UT
USA
Francesco Petruccione
Quantum Research Group
Quantum Information Processing and Communication
School of Chemistry and Physics
University of KwaZulu-Natal
Durban
SOUTH AFRICA
Marco Pistoia
Quantum Computing Software
IBM Watson Research Center
Yorktown Heights, N.Y.
USA
Judy Qiu
School of Informatics and Computing
and
Pervasive Technology Institute
Indiana University
USA
Avadh Saxena
Los
Alamos National Lab
Los
Alamos, NM
USA
Max Shulaker
Microsystems Technology Laboratories
Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
Boston, MA
USA
Thomas Sterling
School of Informatics and Computing
and
CREST Center for Research in Extreme Scale
Technologies
Indiana University
Bloomington, IN
USA
Rick Stevens
Argonne National Laboratory
and
Department of Computer Science, The University of Chicago
Argonne and Chicago
USA
Frederick Streitz
High Performance Computing Innovation Center
Lawrence Livermore National Laboratory
Livermore, CA
USA
Francis Sullivan
IDA/Center for Computing Sciences
Bowie, MD
USA
Kazuya Takemoto
Technology Development Group
Digital Annealer Project
Fujitsu Laboratories Ltd.
Kawasaki
JAPAN
Domenico Talia
Department of Computer Engineering, Electronics, and Systems
and
DtoK Lab
University of Calabria
ITALY
William Tang
Princeton University
Dept. of Astrophysical Sciences, Plasma Physics Section
Princeton Plasma Physics Laboratory
and
Princeton Institute for Computational Science and Engineering
Princeton
USA
Michela Taufer
Dept. of Computer and Information Sciences
Biomedical Engineering
and
Center for
Bioinformatics and Computational Biology
and
Global Computing Lab
University of Delaware
Newark, DE
USA
Eric Van Hensbergen
ARM Research
Austin, TX
USA
Vladimir Voevodin
Moscow State University
Research Computing Center
Moscow
RUSSIA
Amy Wang
The University of Hong Kong
and
Zhejiang University
CHINA
Colin Williams
D-WAVE System Inc.
Strategy and Corporate Development
USA
Robert Wisniewski
Exascale Computing
INTEL Corporation
New York, NY
USA
Rio Yokota
Global Scientific Information and Computing Center
Advanced Computing Research Division
Advanced Applications of High-Performance Computing Group
Tokyo Institute of Technology
Tokyo
JAPAN
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AMAZON WEB SERVICES |
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ARM |
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CAVIUM |
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CRAY |
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CSCS Swiss National Supercomputing Centre |
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DELL |
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D-Wave |
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Fujitsu |
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Hewlett Packard Enterprise |
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IBM |
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INNOTEC21 |
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4C INSIGHTS |
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INTEL |
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JUELICH SUPERCOMPUTING CENTER, Germany |
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LENOVO |
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MELLANOX TECHNOLOGIES |
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NEC |
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NVIDIA |
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PARTEC |
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Dipartimento di Ingegneria
dell’Innovazione Università del Salento |
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National
Research Council of Italy - ICAR - Institute for High Performance
Computing and Networks |
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Media Partners
|
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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 Southern Italy with surrounding green park,
golf facilities and private beach.
The Hotel is very close to a seaside fisherman village named Cetraro, near Cosenza, a city of Southern Italy (for more, see
the next title “How to Reach Cetraro”).
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
cetrarohpc2018 @ gmail.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 2018
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 cetrarohpc2018
@ gmail.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, Cosenza, Italy
e-mail: lugran @ unical.it and cetrarohpc2018
@ gmail.com
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 |
|
Double room (double occupancy) |
140 p.p. |
|
Double room (used as single) |
210. |
|
Suite (multiple occupancy) |
190 p.p. |
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. They are cheaper, but less comfortable.
This type of accommodation is particularly suitable for small groups or
families.
The price is 120 Euro for single occupancy and 100 Euro for multiple
occupancy.
The price is per person, per day,
covering both accommodation and full board
(breakfast, lunch, dinner).
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:
lugran @ unical.it and cetrarohpc2018 @ gmail.com)
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 HPC2016 is still available on the
website http://www.hpcc.unical.it/hpc2016 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).
Fox,
G., Getov, V., Grandinetti, L., Joubert, G.,
Sterling, T. (Eds) New Frontiers in High Performance
Computing and Big Data, IOS Press, Amsterdam 2017, volume 30, ISBN 978-1-61499-
815-0 (print ) ISBN 978 -1- 61499- 816-7 (online) ISSN 0927 5452 (print) ISSN
1879
-808X
(online).
Programme flavour based on HPC2016
In order to have a flavour of the structure of the
workshop agenda, please visit the web site of the 2016 edition of the HPC
workshop series: www.hpcc.unical.it/hpc2016