State of the Art, Emerging Disruptive
Innovations and Future Scenarios
An International Advanced Workshop
Cetraro – Italy,
July 26-30, 2021
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 computer 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 two 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, 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.
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 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
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
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 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
Lucio Grandinetti (Chair)
Department
of Computer Engineering, Electronics, and Systems
University
of Calabria – UNICAL
and
Center
of Excellence for High Performance Computing
ITALY
Giovanni Aloisio
Department
of Innovation Engineering
University
of Salento
ITALY
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
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
Geoffrey Fox
Community
Grid Computing Laboratory
Indiana University
Bloomington, IN
USA
Wolfgang Gentzsch
The UberCloud
Regensburg
GERMANY
and
Sunnyvale, CA
USA
HIROAKI KOBAYASHI
Hiroaki
Kobayashi
Tohoku
University
JAPAN
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
KRISTEL MICHIELSEN
Institute for Advanced Simulation
Quantum Information Processing Group
Jülich Supercomputing Centre
Forschungszentrum Jülich
Jülich
and
RWTH Aachen University
Aachen
GERMANY
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,
Intelligent Systems Engineering
Director of
AI Computing Systems Laboratory (AICSL)
Luddy
School of Informatics, Computing, and Engineering
Indiana
University
Bloomington, IN
USA
MATTHIAS TROYER
Microsoft
Research
USA
Vladimir Voevodin
Lomonosov
Moscow State University
Moscow
RUSSIA
Organizing Committee
L. GRANDINETTI (Co-Chair) (ITALY)
T. LIPPERT (Co-Chair) (GERMANY)
Ø M. ALBAALI (OMAN)
Ø J. DONGARRA (USA)
Ø W.
GENTZSCH (GERMANY)
Ø P.
BECKMAN (U.S.A.)
Ø P. MESSINA (U.S.A.)
Ø D.
TALIA (ITALY)
Workshop Agenda
Legenda:
t.b.a.:
to be announced
Monday, July 26th
|
9:15 – 9:30 |
Welcome Address |
|
|
State of the Art and Key Developments |
||
|
9:30 – 10:15 |
T. STERLING |
Towards an Active Memory Architecture for
Time-Varying Graph-based Execution |
|
10:15 – 11:00 |
G. FOX |
HPTMT High-Performance Data Science and
Data Engineering based on Data-parallel Tensors, Matrices, and Tables |
|
11:00 – 11:30 |
Coffee Break |
|
|
11:30 – 12:15 |
W. NAGEL |
Data
Analytics and AI on HPC Systems: About the impact on Science |
|
12:15 – 12:45 |
Concluding Remarks |
|
|
Emerging computer systems and solutions |
||
|
17:30 – 18:00 |
G. SHAINER |
Cloud
Native Supercomputing |
|
18:00 – 18:30 |
C. CAVAZZONI |
High
Performance Computing and Cloud Computing, key enablers for digital
transformation |
|
18:30 – 19:00 |
Coffee Break |
|
|
19:00 – 19:30 |
T.B.A. |
|
|
19:30 – 20:00 |
F. BAETKE |
The Role of EOFS and the Future of Parallel
File Systems for HPC |
|
20:00 – 20:10 |
Concluding Remarks |
|
Tuesday, July 27th
|
Advances in HPC Systems and Projects |
||
|
9:30 – 10:00 |
T. STERLING |
Parallel
Runtime Systems for Dynamic Resource Management and Task Scheduling |
|
10:00 – 10:30 |
S. MARKIDIS |
Exascale Programming Models for Heterogeneous Systems |
|
10:30 – 11:00 |
T.B.A. |
|
|
11:00 – 11:30 |
Coffee Break |
|
|
11:30 - 12:00 |
T. SHULTHESS |
Exascale and then what? |
|
12:00 – 12:30 |
K. KOSKI |
Building the
European EuroHPC Ecosystem |
|
12:30 – 12:45 |
Concluding Remarks |
|
|
Machine Learning and Deep Learning Methods |
||
|
18:00 – 18:30 |
S. MARKIDIS |
Brain-like Machine Learning and HPC |
|
18:30 – 19:00 |
G. FOX |
Deep
Learning for Time Series |
|
19:00 – 19:30 |
Coffee Break |
|
|
19:30 – 20:00 |
Concluding Remarks and Discussion
Discussion
Theme Is the
“belle époque” of classical High Performance Computer Systems coming at the
end? |
|
Wednesday, July 28th
|
Session V |
Quantum Computing |
|
|
9:30 – 10:00 |
V. GOLIBER |
Practical Quantum Computing |
|
10:00 – 10:30 |
S. STRELCHUK |
Knowing your quantum computer:
benchmarking, verification and classical simulation at scale |
|
10:30 – 11:00 |
F. TACCHINO |
Quantum computing for natural sciences and machine
learning applications |
|
11:00 – 11:30 |
Coffee Break |
|
|
11:30 – 12:00 |
N. CHANCELLOR |
A domain wall encoding of variables for
quantum annealing |
|
12:00 – 12:30 |
A. MASSA |
Quantum Computer, dream or reality? |
|
12:30 – 12:45 |
Concluding Remarks |
|
|
Session
VI |
Pervasive and Disruptive Impact of HPC on
Biosciences |
|
|
17:45 – 18:30 |
K. AMUNTS |
Computing the Brain |
|
18:00 – 18:30 |
Coffee Break |
|
|
19:00 – 19:30 |
M. CANNATARO |
High Performance Computing for Bioinformatics |
|
19:30 – 19:45 |
Concluding Remarks |
|
|
REMIND 20:45 |
Gala Dinner |
|
Thursday, July 29th
|
Session
VII |
Advances in Data Processing, Cloud Systems
and Challenging Applications |
|
|
9:30 – 10:00 |
V. GETOV |
Dynamic Decentralized Workload Scheduling
for Cloud Computing |
|
10:00 – 10:30 |
O. KAO |
AIOps as a future of Cloud Operations |
|
10:30 – 11:00 |
D. TALIA |
Data-Centric Programming for Large-Scale
Parallel Systems - The DCEx Model |
|
11:00 – 11:30 |
Coffee Break |
|
|
11:30 – 12:00 |
W. GENTZSCH |
An
automated, self-service, multi-cloud engineering simulation platform for a
complex living heart simulation workflow with ML |
|
12:00 – 12:30 |
U. RUEDE |
Automatic generation of parallel flow
solvers and applications in wind energy simulation |
|
12:30 – 12:45 |
Concluding Remarks |
|
|
18:00– 19:00 |
Panel Discussion “The Intersection of Quantum Computing and HPC” (tentative, provisional summary of the
panel aim) During the past several decades, supercomputing speeds have gone from
Gigaflops to Teraflops to Petaflops. As the end of Moore’s law approaches,
the HPC community is increasingly interested in disruptive technologies that
could help continue these dramatic improvements in capability. This
interactive panel will identify key technical hurdles in advancing quantum
computing to the point it becomes useful to the HPC community. Some questions
to be considered:
Chairperson: t.b.a. Panelists: t.b.a. |
|
Friday, July 30th
|
(tentative) |
A visionary planning of the program for a perfect
conference on HPC and its future disruptive developments and innovations |
Speakers (provisional)
Lucio Grandinetti (Chair)
Department
of Computer Engineering, Electronics, and Systems
University
of Calabria – UNICAL
and
Center
of Excellence for High Performance Computing
ITALY
KATRIN AMUNTS
Human Brain Project
Chair of The Science and Infrastructure Board
Scientific Research Director
and
Director
Institute for Neuroscience and Medicine
Structural and Functional Organisation of the
Brain
Forschungszentrum Juelich GmbH, Juelich
and
Director Institute for Brain Research
University of Duesseldorf, Duesseldorf
GERMANY
FRANK BAETKE
EOFS
European Open File System Organization
formerly
Hewlett Packard Enterprise
Munich
GERMANY
MARIO CANNATARO
Department of Medical and Surgical Sciences
University of Catanzaro
ITALY
CARLO CAVAZZONI
Leonardo S.p.A.
Head of Cloud Computing
Director High Performance Computing Lab
Chief Technology&Innovation Office
Genova
ITALY
NICHOLAS CHANCELLOR
Department of Physics
Durham University
UNITED KINGDOM
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
Intelligent Systems Research Group
School of Computer Science and Engineering
University of Westminster
London
UNITED KINGDOM
VICTORIA GOLIBER
Senior Technical Analyst
D-Wave Systems Inc.
GERMANY
ODEJ KAO
Distributed and Operating Systems Research
Group
and
Einstein Center Digital Future
Berlin University of Technology
GERMANY
KIMMO KOSKI
CSC - Finnish IT Center for Science
Espoo
FINLAND
THOMAS LIPPERT
Juelich Supercomputing Centre
Forschungszentrum Juelich
Juelich
GERMANY
STEFANO MARKIDIS
KTH Royal Institute of Technology
Computer Science Department / Computational
Science and Technology Division
Stockholm
SWEDEN
ALESSANDRO MASSA
Leonardo S.p.A.
Head of R&T and Leonardo Labs
Chief Technology& Innovation Office
Roma
ITALY
SATOSHI MATSUOKA (t.b.c.)
RIKEN Center for Computational Science
Kobe
and
Department of Mathematical and Computing
Sciences
Tokyo Institute of Technology
Tokyo
JAPAN
KRISTEL MICHIELSEN (t.b.c.)
Institute for Advanced Simulation
Quantum Information Processing Group
Jülich Supercomputing Centre
Forschungszentrum Jülich
Jülich
and
RWTH Aachen University
Aachen
GERMANY
MASOUD MOHSENI
Quantum Artificial Intelligence Laboratory
Google Inc.
Venice, CA
USA
WOLFGANG NAGEL
Center for Information Services and
High Performance Computing
Technische Universitaet Dresden
Dresden
GERMANY
ULRICH RUEDE
CERFACS and Universitaet Erlangen-Nuernberg
Erlangen
GERMANY
THOMAS SCHULTHESS
CSCS
Swiss National Supercomputing Centre
Lugano
and
ETH
Zurich
SWITZERLAND
GILAD SHAINER
NVIDIA
Menlo Park, CA
USA
THOMAS STERLING
School of Informatics, Computing and
Engineering
and
AI Computing Systems Laboratory
Indiana University
Bloomington, IN
USA
SERGII STRELCHUK
Department of Applied Mathematics and
Theoretical Physics
and
Centre for Quantum Information and
Foundations
University of Cambridge
Cambridge
UNITED KINGDOM
FRANCESCO TACCHINO
Quantum Applications Research
IBM Quantum
IBM Research – Zurich
Zurich
SWITZERLAND
DOMENICO TALIA
Department of Computer Engineering,
Electronics, and Systems
and
DtoK Lab – Scalable Data Analytics
University of Calabria
ITALY
VLADIMIR VOEVODIN (t.b.c.)
Moscow State University
Research Computing Center
Moscow
RUSSIA
Sponsors (provisional)
|
AMAZON WEB SERVICES |
|
|
ARM |
|
|
ColdQuanta |
|
|
CMCC |
|
|
CSC Finnish Supercomputing Center |
|
|
CSCS Swiss National Supercomputing Centre |
|
|
Department of Engineering for Innovation - University of Salento |
|
|
D-WAVE |
|
|
EOFS |
|
|
4C INSIGHTS |
|
|
INTEL |
|
|
Juelich Supercomputing Center, Germany (t.b.c.) |
|
|
NextSilicon |
|
|
NVIDIA |
|
|
PARTEC |
|
Media Partners
|
|
|
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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
cetrarohpc2021 @ 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 2021
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 cetrarohpc2021
@ 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 cetrarohpc2021
@ 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 p.p. |
|
Double room (used as single) |
210. |
|
Suite (multiple occupancy) |
190 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. 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
cetrarohpc2021 @ 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 HPC2018 is still available on the
website http://www.hpcc.unical.it/HPC2018
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).
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 HPC2018
In order to have a flavour of the structure of the
workshop agenda, please visit the web site of the 2018 edition of the HPC
workshop series: www.hpcc.unical.it/hpc2018
