“ParCo”

ParCo2017


Bologna, Italy 12-15 September 2017

Invited Speakers 2017


Carrozza    Maria Chiara Carrozza

An Italian Scientist and Member of the National Parliament, Chamber of Deputies, Foreign and European Affairs Committee. Currently coordinates the NeuroRobotics Area in The Biorobotics Institute at Scuola Superiore Sant’Anna. President of the Italian National Group of Bioengineering. Member of the Board of Directors of the Piaggio Spa group.

Title: The future of Robotics in the Fourth Industrial Revolution

Abstract:

Research, science and social innovation are strictly interdependent, and in this framework, my vision for the future is that progress of humanity is the ultimate mission of science.

The integration of robotics with artificial intelligence, deep learning, large amounts of data and high speed communication will revolutionise society. Robots were originally designed for manufacturing tasks. Today they are indispensable for performing complex operations in special environments, such as space and ocean exploration, complex surgery in hospitals, service tasks in nuclear installations.

The next step is that robots will enter our everyday lives: in the streets with self-driving cars, or ‘at our place’ in doing cleaning, entertainment or service activities. Therefore robotics is becoming ‘social’. To achieve these goals, engineers must address several issues related to human-robot interaction, safety, sentience and adaptability. The problem of safe, secure and effective interaction between human beings and robots, cannot be faced without addressing legal and ethical issues.

The road map is already in place. With time and application these issues will be studied and investigated, and robots will share life and environments with humans, supporting their physical and cognitive activities. One of the most fascinating questions to answer in robotics will result from the integration of robotics with bionics and prosthetics. Wearable robotics is expected to revolutionise the society in the next decade.

Fundamental questions to be addressed are: What are the implications of this transformation of robotics? Which areas of science will be involved in the evolution of robotics? What are the main milestones to be accomplished in the journey of robots from manufacturing plants, to Space, Health Care and ultimately into the Human Body?



    Andris Ambainis


Professor at the Faculty of Physics and Mathematics, University of Latvia, Riga, Latvia

Title: Software for Quantum Computers

Abstract:

In this talk, I will survey what can be computed by a quantum computer, from the first results in the field to recent developments.
Currently, the most important known applications for quantum computers are:

I will describe these three big applications and some of the other results on the power of quantum computer (for example, the quantum algorithm for solving systems of linear equations with the answer encoded in a quantum state by Harrow, Hassidim and Lloyd).


    Jack Dongarra


Professor at the Department of Electrical Engineering and Computer Science, University of Tennessee, Oak Ridge National Laboratory, and the University of Manchester, U.K.

Title: An Overview of High Performance Computing and Challenges for the Future

Abstract:

In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of software libraries and algorithms are needed for the effective and reliable use of (wide area) dynamic, distributed and parallel environments. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and run--time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run--time environment variability will make these problems much harder.



    Marco Aldinucci


Professor at the Computer Science Department, University of Torino, Torino, Italy.

Title: Partitioned Global Address Space in the mainstream of C++ programming

Abstract:

In the realm of HPC, message passing has remained the programming paradigm of choice for over twenty years. The durable MPI standard, with send/receive, broadcast and reduction operators is still used to construct parallel programs composed of tens to hundreds of thousands of communicating processes. Each communication is orchestrated by the developer-based on precise knowledge of code, overhead, and data partitions. Collective communications simplify the orchestration but induce excessive synchrony, fragility and eventually hardly addresses the design complexity.

PGAS (Partitioned Global Address Space) programming aims at tackling with this complexity by (at least) abstracting data decomposition and the mapping of processes onto the hardware. Also, PGAS programming model fits well at forthcoming large scale platforms, which are expected to exhibit multiple layers with different networking mechanisms and/or non-coherent weakly consistent shared memory. There exist a variety of choices for PGAS languages and implementations, ranging from brand new languages to extension existing approaches such as MPI and OpenMP. None of them is (yet) in the mainstream of parallel programming or able to support interoperability with legacy code.

In this talk we review these approaches and we discuss the possibility to bring the PGAS approach into the mainstream C++ STL by way of a combination of pattern-based parallel programming and the FastFlow hybrid actor model developed across three sequent EU projects: the FP7 Paraphrase, the FP7 REPARA, and H2020 Rephrase. The approach will be exemplified by sketching the design of a PGAS-enabled BigData analytics DSL that can be entirely developed onto a plain C++ run-time.



    Thomas Ludwig


Director of the German Climate Computing Center (DKRZ) and Professor of Informatics, University of Hamburg.

Title: Computational Climate Science on the Way to Exaflops and Exabytes

Abstract:

Computational Climate Science is a major consumer of high performance computing resources. The workflow of gaining insight into climate systems involves petaflops computers and multipetabyte data sets on disk and on tape. The life cycle of simulation data comprises generation via climate model execution, short term storage on disk for numerical and visual postprocessing and long term storage on tape for subsequent data usage.

Compute centers that support computational climate science need to provide a balanced ecosystem of HPC resources together with a competent support team. New scientific challenges, i.e. paleoclimate or cloud resolution ask for enhanced compute and storage performance. HPC vendors cover this demand with increased parallelism in their components: more cores and more disks. We also see more heterogeneity and more abstraction layers in the I/O stack.

The talk will focus on the challenges for computational climate science to efficiently exploit current and future technologies. It will highlight the question how progress in computer science boosts and brakes progress in climate science.



    Didier El Baz


Head and Founder of the Distributed Computing and Asynchronism team (CDA) LAAS-CNRS, Toulouse, France.

Title: High Performance issues related to the Internet of Things and Smart Earth

Abstract: (To be announced)



Invited Speakers 1983 - 2015


Conference

Speaker

Title

ParCo2015

Stephen Furber

ICL Professor of Computer Engineering, School of Computer Science, University of Manchester, UK.


Bio-Inspired Massively-Parallel Computation



Simon McIntosh-Smith

Head of the HPC Research Group at the University of Bristol, UK.


Scientific Software Challenges in the Extreme Scaling Era



Keshav Pingali

Professor in the Department of Computer Science, and holds the W.A."Tex" Moncrief Chair of Computing in the Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, USA


Parallel Program = Operator + Schedule + Parallel data structure



Rick Stevens

Associate Laboratory Director, Argonne National Laboratory and Professor, Department of Computer Science, University of Chicago, USA.


How might future HPC architectures utilize emerging neuromorphic chip technology?


ParCo2013

Pete Beckman

Director, Exascale Technology and Computing Institute, Argonne National Laboratory and the University of Chicago, USA.

The Changing Software Stack of Extreme-Scale Supercomputers


Sudip Dosanjh

Director of the National Energy Research Scientific Computing (NERSC) Center, Lawrence Berkeley National Laboratory, USA

On the Confluence of Exascale and Big Data


Wolfgang Nagel

Director, Center for Information Services and High Performance Computing (ZIH) & Professor for Computer Architecture, Institute for Computer Engineering, Technical University of Dresden,Germany.


Challenges for Exascale: Architectures and Workflows for Big Data in Life Sciences


Martin Schulz

Computer Scientist at the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL), USA.


Performance Analysis Techniques for the Exascale Co-Design Process

ParCo2011

Andy Adamatsky

Dept of Computer Science, UWE, Bristol, UK

Physarum Machines


Jack B. Dennis

Professor of Computer Science, Massachusetts Institute of Technology, USA

The Fresh Breeze Project


Bernhard Fabianek

European Commission, Brussels, Belgium

The Future of High Performance Computing in Europe


William D. Gropp

Paul and Cynthia Saylor Professor of Computer Science, University of Illinois Urbana-Champaign, USA

Performance Modeling as the Key to Extreme Scale Performance


Thomas Lippert Forschungszentrum Jülich GmbH, Jülich, Germany

Europe's Supercomputing Research Infrastructure PRACE


Ignacio Martín Llorente OpenNebula Project Director, DSA-Research.org, Universidad Complutense de Madrid, Spain

Challenges in Hybrid and Federated Cloud Computing

ParCo2009

Alan Gara

Blue Gene Chief Architect, IBM, USA

Exascale computer: What future architectures mean for the user community


Ian Foster

Argonne National Laboratory & Computer Science, University of Chicago, USA

Computing Outside the Box


Chris Jesshope

University of Amsterdam, Netherlands

Making multi-cores mainstream - from security to scalability


François Bodin

CAPS enterprise, Rennes, France

High Level Graphics Processing Unit Programming.

ParCo2007

Maria Ramalho-Natario
European Commission, INFSO

European E-Infrastructure: Promoting Global Virtual Research Communities


Barbara Chapman
University of Houston, Texas

Programming in the Multicore Era



Marek Behr

RWTH Aachen University, Germany

Simulation of Heart-Assist Devices



Satoshi Matsuoka
Tokyo Institute of Technology, Japan

Towards Petascale Grids as a Foundation of E-Science



Thomas Lippert

Forschungszentrum Jülich GmbH, Jülich, Germany

Partnership for Advanced Computing in Europe (PACE)

ParCo2005

Joel H. Saltz

Ohio State Univ., USA

Computational Phenotyping and High End Computing


Michael Gerndt

TU München. Germany

Advanced Techniques for Performance Analysis


Antonio González

UPC & Intel Labs., Barcelona, Spain

The Right-Hand Turn to Multi-Core Processors

ParCo2003

Friedel Hoßfeld,

Jülich, Germany

Parallel Machines and the "Digital Brain“ - An Intricate Extrapolation on the Occasion of JvN's 100th Birthday


Manfred Zorn, NSF and Lawrence Berkeley National Laboratoy

Computational Challenges in the Genomics Era


Charles D. Hansen, University of Utah, Salt Lake City

High Performance Visualization: So Much Data, So Little Time

ParCo2001

Giovanni Aloisio

Grids: an application perspective


Tony Hey

E-Science, e-Business and the Grid


Vipin Kumar

Graph Partitioning for Dynamic, Adaptive and Multi-Phase Computations


Paul Messina

Technology Issues Relating to the Archiving, Accessing and Analysis of Very Large Distributed Scientific Data Sets


Jack Dongarra

Computational Grids

ParCo99

Paolo Ciancarini (I):

Coordination Languages


Dennis Gannon (USA):

The Information Power Grid and the Problem of Component Systems for High Performance Distributed Computing


Jerzy Leszczynski (USA):

Explosive Advances in Computational Chemistry - Applications of Parallel Computing in Biomedical and Material Science Research


Richard Robb (USA):

A Vision for Image Computing and Visualization in Medicine


David Womble (USA):

Challenges in the Practical Application of Parallel Computing

ParCo97

Geoffrey Fox (USA):

Future of High Performance Computing: Java on PetaFlop Computers


Andreas Reuter (D):

Parallel Database Techniques in Decision Support and Data Mining


Argy Krikelis (UK):

Parallel Multimedia Computing


Klaus Stüben (D):

Europort-D: Commercial Benefit of Using Parallel Technology

ParCo95

Peter Dzwig (UK)

High Performance Computing for Finance


Oliver McBryan (USA, University of Colorado)

HPCC: The interrelationship of Computing and Communication


Henk A. van der Vorst (The Netherlands, Utrecht University)

Parallelism in CG-like Methods

ParCo93

R. Hiromoto, USA

Are We Expecting Too Much from Parallelism?


Ian Foster, USA

Models for Modular Parallel Programming


Hans P. Zima, Austria

Vienna Fortran – A Second Generation System for High-Performance Computation


Vaidy Sunderam, USA

Methodologies and Tools for heterogeneous Concurrent Programming

ParCo91

J. L. Gustafson (USA)

Compute-Intensive Applications on Advanced Computer Architectures


M. Cosnard (F)

Designing Non-Numerical Algorithms for Distributed Memory Computers


H. Mühlenbein (D)

Neural Networks and Genetic Algorithms as Paradigms for Parallel Problem Solving


D. De Groot (USA)

Parallel Logic Programming and Speculative Computation


D. J. Evans (UK)

Design of Parallel Numerical Algorithms

ParCo89

K. Hwang (USA)

Massively Parallel Computing with Optics and Connectionist Neural Models


R. H. Perrot (UK)

Parallel Languages and Parallel Software


F. A. Lootsma (NL)

Parallel Non-Linear Optimization


J. S. Kowalik (USA)

Parallel Computation in Artificial Intelligence


W. Gentzsch (D)

Performance Evaluation for Shared-Memory Parallel Computers

ParCo85

R. L. Hockney (UK)

Parallel Computers and Algorithms


W. Butscher (D)

Supercomputing in Seismic Exploration INdustry


G. H. Rodrique (USA)

Parallel Algorithms for Partial Differential Equations


A. Sameh (USA)

Parallel Algorithms in Numerical Linear Algebra


W. Schmidt (D)

Advanced Numerical Methods in Aerodynamics Using vector Computers

ParCo83

F. Hoßfeld (D)

Nonlinear Dynamics – A Challenge on High-Speed Computation


F. Hertweck (D)

Using a Vector Computer in a Research Environment


D. J. Evans (UK)

The Parallel Solution of Partial Differential Equations


W. Händler (D)

Dynamic Computer Structures for Manifold Utilization


D. Parkinson (UK)

The Solution of n Linear Equations with p Processors