HIGH PERFORMANCE COMPUTING

From Clouds and Big Data to Exascale and Beyond

 

An International Advanced Workshop

Cetraro  Italy, July 2 – 6, 2018

 

 

image002 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.

 

 

image002 Workshop topics

 

 

Workshop topics will be related to, but are not limited to, any of the following ones:

 ·        General Issues in High Performance Computing, incl.:

 

         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

 

 

 

image002 Programme

 

 

Over fifty invited papers will be presented at the workshop. Keynote overview talks will be given together with research and industry presentations. Ten sessions will be planned together with two panel discussions. 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.

 

 

 

image002 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

 

 

 

image002 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)

 

 

image002 Workshop Agenda

 

 

Legenda:

 

t.b.a.:  to be announced

Monday, July 2nd

 

Session I

State of the art and future scenarios

9:00 – 9:15

Welcome Address

9:15 – 9:45

J. DONGARRA

High Performance Computing and Big Data: Challenges for the Future

9:45 – 10:15

G. FOX

High-Performance Big Data Computing Environments

10:15 – 10:45

I. FOSTER

Learning Systems for Science

10:45 – 11:15

S. MATSUOKA

From Post-K to Cambrian Explosion of Computing and Big Data in the

Post-Moore Era

11:15 – 11:45

Coffee Break

11:45 – 12:15

R. STEVENS

Computing Landscape 2030: New Architectures and Computing Models, Machine Learning Based Software, Neurons and Entanglement

12:15 – 12:45

T. STERLING

Contemplating Non-von Neumann Computing for Zetaflops and Dynamic Graphs

12: 45 – 13:00

Concluding Remarks

Session II

Emerging computer systems and solutions

16:00 - 16:30

V. KAMATH

Systems Packaging Technology for Efficient Cooling for Dense HPC Solutions in a Data Center

16.30 – 17:00

C. KESSELMAN

Non-Quantum Effects in Data Production

17:00 – 17:25

M. HILGEMAN

HPC platform efficiency and challenges for a system builder

17:25 – 17:50

M. MORAES

Achieving bit-wise reproducible results on Anton, a special-purpose supercomputer for molecular dynamics simulation.

17:50 – 18:15

E. VAN

HENSBERGEN

Bootstrapping an HPC Ecosystem

A Retrospective on Arm’s First Six Years in High Performance Computing

18:15 – 18:45

Coffee Break

18:45 – 19:10

N. DUBE

System architecture opens up thanks to next generation optics

19:10 – 19:35

H. KOBAYASHI

Operations and R&D of Vector Supercomputers and their Applications

19:35 – 20:00

G. BLOCH

InfiniBand In-Network Computing Technology and Roadmap

20:00 – 20:10

Concluding Remarks

 

 

Tuesday, July 3rd

 

Session III

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

10:40 – 11:05

V. VOEVODIN

How To Go Beyond the Limitations of the Current Benchmarking Methodology?

11:05 – 11:35

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

Session V

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

18:15 – 18:45

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. PISTOIA

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

t.b.a.

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

F.PETRUCCIONE

Supervised learning on quantum computers

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

K. TAKEMOTO

Digital Annealer: Quantum-inspired Computing for Combinatorial Optimization Problems

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 Berkeley National Laboratory, U.S.A.

 

 

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

 

 

Session X

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

 

 

 

image002 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

 

 

 

 

 image002 Sponsors

 

 

AMAZON WEB SERVICES

logo_amazon

ARM

ARM

CAVIUM

CRAY

CSCS

Swiss National Supercomputing Centre

DELL

D-Wave

Fujitsu

Hewlett Packard Enterprise

IBM

INNOTEC21

4C INSIGHTS

INTEL

logo_intel

JUELICH SUPERCOMPUTING CENTER, Germany

logo_fzj

LENOVO

MELLANOX TECHNOLOGIES

logo_mellanox

NEC

NEC

NVIDIA

PARTEC

https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcSKr8IqWWPKzoEFO_ODjCSjTAjAdkUi116nlAVEmRCxRsZtPp2N

Dipartimento di Ingegneria dell’Innovazione

Università del Salento

DipIngInn_solo giallo

National Research Council of Italy - ICAR - Institute for High Performance Computing and Networks

 

 

Media Partners

 

 

 

 

logo_amazon

 

Free Amazon web Service credits for all HPC 2018 delegates

 

Amazon is very pleased to be able to provide $200 in service credits to all HPC 2018 delegates. Amazon Web Services provides a collection of scalable high performance and data-intensive computing services, storage, connectivity, and integration tools. AWS allows you to increase the speed of research and to reduce costs by providing Cluster Compute or Cluster GPU servers on-demand. You have access to a full-bisection, high bandwidth network for tightly-coupled, IO-intensive workloads, which enables you to scale out across thousands of cores for throughput-oriented applications.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ubercloud

 

UberCloud is the online community and marketplace platform for engineers and scientists to discover, try, and buy computing time, on demand, in the Cloud. Our novel software containers facilitate software packaging and portability, simplify access and use of cloud resources, and ease software maintenance and support for end-users and their service providers.

 

Please register for the UberCloud Voice Newsletter, or for performing an HPC Experiment in the Cloud.

 

 

 

 

image002 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.

 

 

 

image002 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

 

Logistic information

 

How to reach Cetraro

 

Local sightseeing

 

 

image002 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 

 

 image002 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 

 

 

 

image002 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 cetrarohpc2018 @ gmail.com)

 

 

 

Please use the ACCOMMODATION FORM

to specify the accommodation required.

 

 

 

image002 Local transportation

 

 

A pick up service will be provided, free of charge, to those who will fill in the

 

TRAVEL FORM

 

 

 

image002 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).

 

 

 

 image002  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