HIGH PERFORMANCE
COMPUTING
State of the Art, Emerging Disruptive
Innovations and Future Scenarios
An International Advanced Workshop
Cetraro – Italy,
June 24 - 28, 2024
Main Aim
The tools and techniques of High Performance
Computing (HPC) have gained broad acceptance in wide areas of research and industry
due to sustained progress in computational hardware and software technologies,
ranging from hybrid CPU/GPU systems, multicore and distributed architectures,
and virtualization, to relatively new paradigms such as cloud computing,
explosive growth of the use of Artificial Intelligence (AI) techniques in
myriad applications, and advances in quantum Scomputer realizations. At the
same time, the extremely fast pace of the field introduces new challenges in
technological, intellectual, ethical and even political areas that 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, cloud models, and systems targeted
for AI applications. In addition, quantum computing has captured intense and
widespread interest in the last few years, in large part due to the deployment
of several systems with diverse architectures. This workshop will provide a
forum for exploration of both challenges and synergies that might arise from
exchange of ideas across the many aspects of HPC and its applications.
The rapid uptake of AI methods to tackle myriad
applications has led to rethinking of the relevant algorithms and of the
microarchitectures of computers that are optimized for such applications.
Although machine and deep learning are the AI technologies that are in the
headlines daily and flood submissions to conferences and journals, other
aspects of AI are also maturing and in some cases require HPC resources.
Similarly, the growing deployment of quantum
computers, some of which are accessible to the open research community, is
spurring experimentation with reformulation of problems, algorithms, and
programming techniques for such computers. Quantum sensing and quantum
communication are also beginning to have physical instantiations.
The importance of Cloud Computing in HPC
continues to grow. We are seeing more and more cloud testbeds and production
facilities that are used by government agencies, industry and academia.
Commercial cloud service providers like Amazon Web Services, Fujitsu TC Cloud,
Gompute, Microsoft Azure, Nimbix, 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.
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. For example, how much resilience and fault-tolerance can,
or should, be embedded transparently in the system versus exposed to the
programmer? Perhaps even greater challenges arise from the complexity of
applications, which are increasingly multi-scale and multi-physics and are
built from hundreds of building blocks, and from the difficulty of achieving
portability across traditional architectures.
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 complex
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 forty invited
talks and associated panels 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, including:
- Quantum Computing
- Machine and Deep Learning
- Exascale Computing
- Brain-inspired Computing
- Biocomputing
- System software, workflows, programming
models
- Novel applications – advances and
challenges
- Traditional and Emerging Computer
Architectures for HPC, including:
- Quantum Computer architectures and Qbit
technologies
- Architectures tailored for Artificial
Intelligence
- Communication networks
- Heterogeneous systems, including CPU,
GPU, FPGA, etc.
- Grids and Clouds for HPC
- Energy efficient technologies
- Artificial Intelligence: Its Impact on
HPC and vice versa
- HPC-enabled AI applications
- Impact of AI on architectures,
algorithms, system software
Workflows that include simulation, AI, and
large-scale data analytics
Programme
Only invited papers will be presented at the
workshop. Keynote overview talks will be given together with research and
industry presentations. Nine sessions will be planned together with two panel
discussions. The program will include several sessions on Artificial
Intelligence, 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 different sectors, public and private, will
debate the most critical issues related to their development strategies for
Research and Enterprise.
International
Programme Committee (provisional)
LUCIO
GRANDINETTI (Chair)
Department
of Computer Engineering, Electronics, and Systems Science
University
of Calabria – UNICAL
and
Center of
Excellence for High Performance Computing
ITALY
THOMAS
LIPPERT (Co-chair)
Juelich
Supercomputing Center
Institute
for Advanced Simulation
Forschungszentrum Juelich
Juelich
GERMANY
GIOVANNI ALOISIO
CMCC
Strategic Board member & Director of the CMCC Supercomputing Center
Euro
Mediterranean Center on Climate Change (CMCC Foundation)
and
University
of Salento
ITALY
FRANK BAETKE
EOFS
European Open File System Organization
formerly
Hewlett Packard Enterprise
Munich
GERMANY
PETER BECKMAN
Argonne National Laboratory
Argonne, IL
USA
RUPAK BISWAS
NASA
Exploration Technology Directorate
High End Computing Capability Project
NASA Ames Research Center
Moffet Field, CA
USA
CHARLIE CATLETT
Argonne National Laboratory
Argonne, Illinois
USA
JACK DONGARRA
Innovative Computing Laboratory
Computer Science Department
University of Tennessee
Knoxville, TN
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
WOLFGANG GENTZSCH
Simr, formerly known as UberCloud
Regensburg
GERMANY
and
Sunnyvale, CA
USA
VLADIMIR GETOV
Distributed and Intelligent Systems Research
Group
School of Computer Science and Engineering
University of Westminster
London
UNITED KINGDOM
KIMMO KOSKI
CSC – The Finnish IT Center for Science
Helsinki
FINLAND
SALVATORE MANDRÀ
Senior Research Scientist and Task Lead
Quantum Artificial Intelligence Lab (QuAIL)
KBR, Inc
NASA, Ames Research Center
CA, USA
STEFANO MARKIDIS
KTH Royal Institute of Technology
Computer Science Department
Stockholm
SWEDEN
SATOSHI MATSUOKA
RIKEN
Director Center for Computational Science
Kobe
and
Department of Mathematical and Computing
Sciences
Tokyo Institute of Technology
Tokyo
JAPAN
PAUL MESSINA
US DOE Argonne National Laboratory
Argonne Associate and Distinguished Fellow
Argonne, Illinois
USA
KEVIN OBENLAND
Quantum Information and Integrated Nanosystems
Massachusetts Institute of Technology
Lincoln Labor
Tokyo Institute of Technology
Tokyo
JAPAN
PAUL MESSINA
US DOE Argonne National Laboratory
Argonne Associate and Distinguished Fellow
Argonne, Illinois
USA
KEVIN OBENLAND
Quantum Information and Integrated Nanosystems
Massachusetts Institute of Technology
Lincoln Laboratory
Boston, MA
USA
VALERIO PASCUCCI
Center for Extreme Data Management, Analysis
and Visualization
and
Scientific Computing and Imaging Institute
School of Computing, University of Utah
and
Laboratory Fellow, Pacific Northwest National
Laboratory
USA
KRISTEN PUDENZ
Director Advanced Research Programs
Atom Computing
Berkeley, California
USA
RICK STEVENS
Argonne National Laboratory
Argonne, Illinois
USA
MICHELA TAUFER
The
University of Tennessee
Electrical
Engineering and Computer Science Dept.
Knoxville,
TN
USA
ROBERT WISNIEWSKI
SAMSUNG
Senior Vice President and Chief Architect of
HPC
Head of Samsung’s SAIT Systems Architecture Lab
USA
Organizing Committee
L. GRANDINETTI (Co-Chair) (ITALY)
T. LIPPERT (Co-Chair) (GERMANY)
Ø M. ALBAALI (OMAN)
Ø P. BECKMAN (USA)
Ø C. CATLETT (USA)
Ø J. DONGARRA (USA)
Ø W.
GENTZSCH (GERMANY)
Workshop Agenda
The Agenda of the workshop
will be detailed and fixed in the Final Programme that will be posted in the
workshop website.
The workshop will begin on
Monday morning at 9:30 a.m. (with the first session “State of the art and
future scenarios”).
Provisional sketch
1st
day
State
of the Art, Key Developments and Future Scenarios
Emerging
Computer Systems and Solutions
2nd
day
Advances
in Supercomputing Systems and Projects
Advances
in Data Processing and Big Data Analytics
3rd
and 4th day
ARTIFICIAL
INTELLIGENCE on HPC Platforms: Current and Potential Synergies
(Including
PANEL Session)
QUANTUM
COMPUTING PROMISES and REALISTIC DEPLOYMENTS: state of the art and future
developments
(Including
PANEL Session)
5th
day
Challenging
Applications
Sample AI Session (provisional)
Artificial Intelligence (AI) Session
Provisional Agenda
Co-Organizers and Co-Chairmen: Pete Beckman and
Charlie Catlett, US DOE Argonne National Laboratory, USA
The concept for the session is to expose advances in a
broad spectrum of AI – not only in Machine Learning (ML) and Deep Learning
(DL); explore current and potential synergies among the areas; describe
selected uses of AI; and identify challenges to making major progress (e.g.,
algorithms, programming languages, data analytics, standards, and computer
architectures).
Topics to be covered by the
sessions (tentatively)
1.
ML and
DL trends and synergies
2.
ML and
DL in HPC applications
- AI for the
Instrument to HPC Continuum
4.
AI for
Materials Science
- Embodied AI
for Robotics
6.
Numerical
methods in AI
- T.B.D.
Panel session (C. Catlett and
P. Beckman, Argonne National Lab, co-chairs)
How AI Workloads are Influencing
system Architecture and Software Stacks: New Tricks for Old (and new) Dogs
In the past 3-4 years, artificial intelligence (AI) training has rapidly
become a significant application of high-performance computing (HPC). A single
training run for even a relatively small AI model can consume an entire HPC
system for days (or longer).
Many HPC systems today have been designed either explicitly with AI
training in mind or, by virtue of GPUs and accelerators intended for
traditional workloads, ideally suited nonetheless.
With the expected results of many large-scale AI models for science
creating “foundation models” for use by hundreds (or thousands) of users,
inference will begin to dominate HPC workloads as well.
The implications of AI requirements on HPC systems “both hardware and
software stacks” are influencing new hardware architectures as well as the
software stacks associated with “traditional” HPC systems.
We have asked representatives from several HPC/AI companies to reflect on
these trends and where they might take us in the next several years.
Sample QC Session (provisional)
Quantum Computing (QC) Session
Quantum Computing Promises and
Realistic Deployments
The
entire architecture of a quantum computing system, capable to integrate
algorithms and basic q-units, is one of the crucial challenges, requiring
contributions by different expertises, skills, experiences on quantum
properties and technology implementations. The main aim of this workshop is to
shed light on the properties and technologies basic for a realistic development
of quantum systems. Therefore very good speakers experienced in different
quantum fields will contribute to asses the fundamental and practical limits of
building quantum computing devices and to overview the potential applications
of quantum systems to information and computer science and engineering.
Subset of Speakers (Complete list and talks schedule in
preparation)
Sergio Boixo, GOOGLE Quantum
AI
Antonio Corcoles, IBM Quantum
Vlad
Gheorghiu, Institute for Quantum Computing, University of Waterloo
Alexandre
Glatzle, PLANQ
Victoria
Goliber, D-Wave Systems
Rajeeb
Hazra, Quantinuum
Goran
Johansson, WACQT Sweden
Elica
Kyoseva, NVIDIA
Stefano
Markidis, KTH Stockholm
John
Morton, Quantum Motion
Kevin
Obenland, MIT Lincoln Lb
Nash
Palaniswamy, Quantinuum
Florian
Preist, Quantum Brilliance
Kristen
Pudenz, Atom Computing
David
Rivas, Rigetti Computing
Raffaele
Santagati, Boheringer Ingelheim
Pete
Shadbolt, PsiQuantum
Sergii
Strelchuk - University of Cambridge and Warwick Quantum Centre
Speakers
(provisional, list extension in progress)
ILKAY ALTINTAS
San Diego Supercomputer Center
and
Workflows for Data Science (WorDS) Center of
Excellence
and
WIFIRE Lab
University of California at San Diego, CA
USA
FRANK BAETKE
EOFS
European Open File System Organization
GERMANY
PETE BECKMAN
US DOE Argonne National Laboratory
and
University of Chicago
and
Northwestern University / Argonne National Lab.
Institute for Science and Engineering
USA
RUPAK BISWAS
NASA
Exploration Technology Directorate
High End Computing Capability Project
NASA Ames Research Center
Moffet Field, CA
USA
GIL BLOCH
NVIDIA
Santa Clara, CA
USA
SERGIO BOIXO
Quantum Artificial Intelligence Laboratory, Google AI
Santa Barbara, CA
USA
ERNESTO BONOMI
GROQ
Mountain View, CA
USA
CHARLIE CATLETT
Argonne National Laboratory
Argonne, Illinois
USA
ANTONIO CORCOLES
IBM Quantum
T.J. Watson Research Center
Yorktown Heights, NY
USA
PATRICIA DAMKROGER
HPE SVP
GM HPC & AI Solutions
Spring, Texas
USA
JACK DONGARRA
Electrical Engineering and Computer Science
Department
and
Innovative Computing Laboratory
University of Tennessee
Knoxville, TN, USA
and
Oak Ridge National Laboratory, USA
and
University of Manchester, U.K.
DANIELE DRAGONI
Leonardo S.p.A.
High Performance Computing Lab.
Genova
ITALY
IAN FOSTER
Argonne
National Laboratory
Data Science and Learning Division
Argonne, IL
and
Dept. of Computer Science
The University of Chicago
Chicago, IL
USA
WOLFGANG GENTZSCH
Simr, formerly known as UberCloud
Regensburg
GERMANY
and
Sunnyvale, CA
USA
VLADIMIR GETOV
Distributed and Intelligent Systems Research
Group
School of Computer Science and Engineering
University of Westminster
London
UNITED KINGDOM
VLAD GHEORGHIU
Institute for Quantum Computing, University of
Waterloo
and
SoftwareQ Inc, Waterloo
Waterloo, Ontario
CANADA
ALEXANDER GLATZLE
CEO and Co-Founder PLANQ
Munich
GERMANY
RAJEEB HAZRA
QUANTINUUM
Broomfield, Colorado
USA
FRANK HEROLD
ThinkParQ GmbH
GERMANY
ANDY HOCK
Cerebras Systems
Sunnyvale, California
USA
TORSTEN HOEFLER
ETH Zurich
Full Professor Department of Computer Science
and
Director Scalable Parallel Computing Laboratory
Zurich
SWITZERLAND
NOBUYASU ITO
RIKEN Center for Computational Science
Kobe
JAPAN
MICHAEL JAMES
CEREBRAS
Sunnyvale, CA
USA
GORAN JOHANSSON
Professor Chalmers Tekniska Hogskola
Gothenburg
and
Co-director WACQT
Wallenberg Centre for Quantum Technology
Stockholm
SWEDEN
ANDREY KANAEV
U.S. National Science Foundation
Program Director
Office of Advanced Cyberinfrastructure
Computer and Information Science and
Engineering Directorate
Alexandria, VA
USA
HIROAKI KOBAYASHI
Architecture Laboratory
Department of Computer and Mathematical
Sciences
Graduate School of information Sciences
Tohoku University
JAPAN
KIMMO KOSKI
CSC - Finnish
IT Center for Science
Espoo
FINLAND
ELICA KYOSEVA
Director
Quantum Algorithms Engineering
NVIDIA
Santa Clara, California
USA
LORENZO LEANDRO
Quantum
Machines Inc.
Milan
ITALY
THOMAS LIPPERT
Juelich
Supercomputing Center
Institute for
Advanced Simulation
Forschungszentrum Juelich
Juelich
GERMANY
YUTONG LU
Full Professor,
School of Computer Science and Engineering
Director,
National Supercomputer Center in Guangzhou
Sun Yat-Sen
University
Guangzhou
Higher education Mega Center
Guangzhou
CHINA
Rigetti Computing
Berkeley, CA
USA
STEFANO MARKIDIS
KTH Royal Institute of Technology
Computer Science Department / Computational
Science and Technology Division
Stockholm
SWEDEN
SATOSHI MATSUOKA
Director RIKEN Center for Computational
Science, Kobe
and
Tokyo Institute of Technology, Tokyo
JAPAN
PAUL MESSINA
US DOE Argonne National Laboratory, Argonne
Illinois
Argonne Associate and Distinguished Fellow
USA
JOHN MORTON
Professor University College London - UCL
Director of UCL Quantum Science and Technology
Institute
and
Co-Founder and CTO of QUANTUM MOTION
London
U.K.
MARTIN MUELLER
SambaNova Systems Inc
Palo Alto, CA
USA
KEVIN OBENLAND
Quantum Information and Integrated Nanosystems
Lincoln Laboratory
Massachusetts Institute of Technology MIT
Boston, MA
USA
IRWAN OWEN
D-Wave Systems Inc.
GERMANY and USA
NASH PALANISWAMY
QUANTINUUM
Broomfield, Colorado
USA
MANISH PARASHAR
Scientific Computing and Imaging
Institute
and
School of Computing
University of Utah, Salt Lake City
USA
FLORIAN PREIS
Quantum Brilliance GmbH
Stuttgart
GERMANY
KRISTEN PUDENZ
Atom Computing
Berkeley, California
USA
KENTARO SANO
Team Leader
Processor Research Team
Center for Computational Science, RIKEN
Kobe
JAPAN
RAFFAELE SANTAGATI
Quantum Computing Scientist
Boheringer Ingelheim
GERMANY
ANNA SCAIFE
University of Manchester
Manchester
UK
THOMAS SCHULTHESS
CSCS
Swiss National Supercomputing Centre
Lugano
and
ETH
Zurich
SWITZERLAND
PETE SHADBOLT
Co-Founder
PsiQuantum
Palo Alto, California
USA
RICK STEVENS
US DOE Argonne National Laboratory
Computing, Environment, Life Sciences
Laboratory
and
University of Chicago
USA
FRED STREITZ
Center for Forecasting and Outbreak Analytics
(CFA/CDC)
USA
and
National AI Research Resource Task Force
(NAIRR-TF)
USA
and
Lawrence Livermore
National Laboratory (LLNL/DOE)
Livermore, California
USA
SERGII STRELCHUK
Department of Applied Mathematics and
Theoretical Physics
and
Centre for Quantum Information and Foundations
University of Cambridge
Cambridge
and
University of Warwick
Computer Science Department
Warwick Quantum Centre
Warwick
UK
ESTELA SUAREZ
Juelich
Research Center
Juelich
GERMANY
SAMANTIKA SURY
SAMSUNG Electronics America
Westford, MA
USA
WILLIAM TANG
Princeton University Dept. of Astrophysical
Sciences,
Princeton Plasma Physics Laboratory
and
Center for Statistics and Machine Learning
(CSML)
and
Princeton Institute for Computational Science
& Engineering (PICSciE)
Princeton University
USA
MICHELA TAUFER
The University of Tennessee
Electrical Engineering and Computer Science
Dept.
Knoxville, TN
USA
SCOTT TEASE
Lenovo
Vice President HPC and AI
Morrisville, NC
USA
MIWAKO TSUJI
RIKEN Center for Computational Science
Kobe
JAPAN
ANDREW WHEELER
HPE Fellow & VP
Hewlett Packard Labs
Fort Collins, CO
USA
RIO YOKOTA
Tokyo Institute of Technology
Tokyo
JAPAN
Sponsors (provisional)
|
ATOM COMPUTING |
|
|
|
CEREBRAS |
|
|
|
CMCC Euro-Mediterranean
Center on Climate Change |
|
|
|
CSC Finnish Supercomputing Center |
|
|
|
DWAVE Systems |
|
|
|
EOFS |
|
|
|
GROQ |
|
|
|
Hewlett Packard Enterprise |
|
|
|
Juelich Supercomputing Center, Germany |
|
|
|
LENOVO |
|
|
|
NVIDIA |
|
|
|
PSIQUANTUM |
|
|
|
QUANTUM BRILLIANCE |
|
|
|
SAMBANOVA SYSTEMS |
|
|
|
SAMSUNG |
|
|
|
SIPEARL |
|
|
|
THINKPARQ |
|
|
|
University of Calabria Department of Computer Engineering,
Electronics, and Systems |
|
|
|
UNIVERSITY OF SALENTO |
|
|
Media Partners
|
HPCwire is a news
portal and weekly newsletter covering the fastest computers in the world and the
people who run them. As the trusted source for HPC news since 1987, HPCwire
has served as the publication of record on the issues, challenges,
opportunities, and conflicts relevant to the global High Performance
Computing space. Its reporting covers the vendors, technologies, users, and
the uses of high performance, AI- and data-intensive computing within
academia, government, science, and industry. Subscribe now
at www.hpcwire.com. |
|
About insideHPC Founded in 2006, insideHPC is a global publication recognized
for its comprehensive and insightful coverage across the HPC-AI community,
linking vendors, end-users and HPC strategists. insideHPC has a large and
loyal audience drawn from public and private companies of all sizes,
government agencies, research centers, industry analysts and academic
institutions. In short: the buyers and influencers of HPC, HPC-AI and
associated emerging technologies. THE News
Analysis Site for HPC Insiders: Written and edited by seasoned
technology journalists, we’re all about HPC and AI, offering feature stories,
commentary, news coverage, podcasts and video interviews with HPC’s leading
voices. Like the evolving HPC ecosystem, insideHPC’s coverage continually
expands into emerging focus areas to better serve our growing readership and
advertising base, insideHPC in 2023 will deliver an updated format and new
spotlight coverage of of enterprise HPC, HPC-AI, exascale (and post-exascale)
supercomputing, quantum computing, cloud HPC, edge computing, High
Performance Data Analytics and the geopolitical implications of
supercomputing. |
|
Simr, formerly UberCloud,
is dedicated to helping manufacturers thrive by advancing SimOps, a framework
of best practices for automating simulation processes that enhance
decision-making, innovation, efficiency, and quality in product design and
engineering. Founded by engineers for engineers, Simr builds on a versatile,
high-performance platform compatible with any compute infrastructure, setting
a new standard in manufacturing design. Our platform allows engineers to
securely design and test product concepts using existing workflows and tools,
ensuring complete control over their simulation workflows and data. Visit us
at simr.com and follow us on LinkedIn. |
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 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”).
Hotel phone number: +39 0982 91012
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
cetrarohpc2024
@ 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 Technologies,
to facilitate professional relations and to create technology transfer
opportunities.
Those interested to attend are requested to send an application to the
addresses below.
All contributions to the Workshop are invited original research papers
not previously published.
Participants are kindly requested to notify their registration.
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 2024
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 cetrarohpc2024 @ 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 cetrarohpc2024 @ gmail.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 |
|
Double
room (double occupancy) |
140 |
|
Double
room (used as single) |
210 |
|
Junior
Suite* (double occupancy) |
170 |
|
Suite**
(double occupancy) |
190 |
All
prices are intended PER PERSON, PER DAY.
* One bedroom for 2 persons and one sitting
room. Sea view
** One bedroom for 2 persons and a sitting
room. Terrace overlooking the sea
For accommodation of families, special
arrangements and assistance please contact the Secretariat cetrarohpc2024 @
gmail.com.
They include accommodation and full board
(breakfast, lunch, dinner).
The Hotel’s number of rooms available is
limited. The single rooms are very 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 for rooms with air conditioning is 120 euro.
The price for rooms without air conditioning is 100 euro.
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, 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
cetrarohpc2024 @ gmail.com)
Please use the
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 HPC2023 is still available on the
website http://www.hpcc.unical.it/hpc2023
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:
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).
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).
Programme flavour based on HPC 2023
In order to have a flavour of the structure of the
workshop agenda, please visit the web site of the 2023 edition of the HPC
workshop series: www.hpcc.unical.it/hpc2023
As far as a flavour of the style and contents of the Quantum Computing
Sessions is concerned, please visit the website: http://topqc.org