Euro-Par 2017

23rd International European Conference on Parallel and Distributed Computing

Will take place in Santiago de Compostela, the capital of Galicia, Spain, and endpoint of the Way of Saint-James, from August 28 to September 1st. It will be organized by the ETSE of the Universidade de Santiago de Compostela in collaboration with the Centro de Investigación en Tecnoloxías da Información (CiTIUS). logos

...weeks, days &amp hours left for the beginning of Euro-Par 2017!

Full paper submission deadline (extended): February 16th, 2017, 23:59 AOE.

Important dates

Workshops: August 28 & 29, 2017 | Conference: Aug. 30, 31 & Sep. 1st

Main Conference:
  • Paper abstracts: February 2, 2017, 23:59 AOE
  • Paper abstracts (extended): February 9, 2017, 23:59 AOE
  • Full paper submission: February 9, 2017, 23:59 AOE
  • Full paper submission (extended): February 16, 2017, 23:59 AOE
  • Author notification: April 24, 2017
  • Camera ready full papers: June 3, 2017
  • Workshop proposal due: February 3, 2017
  • Workshop proposals due (extended): February 17, 2017, 23:59 AOE
  • Workshop notifications: February 24, 2017
  • Workshop website online due: March 22, 2017
  • Launch of Call for Workshop Papers: March 22, 2017
  • Workshop Papers due: May 5, 2017
  • Workshop Author Notification: June 16, 2017


1. Support Tools and Environments

Despite an impressive body of research, parallel and distributed programming remains a complex task prone to subtle software issues that can affect both the correctness and the performance of the application. This topic focuses on tools and techniques to help tackling that complexity.

2. Performance and Power Modeling, Prediction and Evaluation

In recent years, a range of novel methods and tools have been developed for the evaluation, design, and modeling of parallel and distributed systems and applications. At the same time, the term ‘performance’ has broadened to also include scalability and energy efficiency, and touching reliability and robustness in addition to the classic resource-oriented notions.

3. Scheduling and Load Balancing

New computer systems supply an opportunity to improve the performance and the energy consumption of the applications by the exploitation of several parallelism levels. Heterogeneity and complexity are the main characteristics of modern architectures. Thereby, the optimal exploitation of modern platforms becomes a challenge. The scheduling and load balancing techniques are relevant topics for the optimal exploitation of modern computers in terms of performance, energy consumption, cost of using resources and so on.

4. High Performance Architectures and Compilers

This topic deals with architecture design, languages, and compilation for parallel high performance systems. The areas of interest range from microprocessors to large-scale parallel machines (including multi-/many-core, possibly heterogeneous, architectures); from general-purpose to specialized hardware platforms (e.g., graphic coprocessors, low-power embedded systems); and from architecture design to compiler technology and language design.

5. Parallel and Distributed Data Management and Analytics

Many areas of science, industry, and commerce are producing extreme-scale data that must be processed—stored, managed, analyzed—in order to extract useful knowledge. This topic seeks papers in all aspects of distributed and parallel data management and data analysis.

6. Cluster and Cloud Computing

The success of Cloud Computing has driven the advent of the Utility Computing (UC) paradigm. Cloud Computing is not a concept anymore, but a reality with many providers around the world. The use of massive storage and computing resources accessible remotely in a seamless way has become essential for many applications in various areas. Cloud Computing evolved from Cluster Computing where for the latter dedicated resources are usually involved.

7. Distributed Systems and Algorithms

Parallel computing is heavily dependent on and interacting with the developments and challenges concerning distributed systems, such as load balancing, asynchrony, failures, malicious and selfish behavior, long latencies, network partitions, disconnected operations, distributed computing models and concurrent data structures, and heterogeneity.

8. Parallel and Distributed Programming, Interfaces, and Languages

Parallel and distributed applications requires adequate programming abstractions and models, efficient design tools, parallelization techniques and practices. This topic is open for presentations of new results and practical experience in this domain: Efficient and effective parallel languages, interfaces, libraries and frameworks, as well as solid practical and experimental validation. It emphasizes research on high-performance, correct, portable, and scalable parallel programs via adequate parallel and distributed programming model, interface and language support.

9. Multicore and Manycore Parallelism

Modern homogeneous and heterogeneous multicore and manycore architectures are now part of the high-end and mainstream computing scene and can offer impressive performance for many applications. This architecture trend has been driven by the need to reduce power consumption, increase processor utilization, and deal with the memory-processor speed gap. However, the complexity of these new architectures has created several programming challenges, and achieving performance on these systems is often a difficult task. This topic seeks to explore productive programming of multi- and manycore systems, as well as stand-alone systems with large numbers of cores like GPUs and various types of accelerators; this can also include hybrid and heterogeneous systems with different types of multicore processors.

10. Theory and Algorithms for Parallel Computation and Networking

Parallel computing is everywhere, on smartphones, laptops; at online shopping sites, universities, computing centers; behind the search engines. Efficiency and productivity at these scales and contexts are only possible by scalable parallel algorithms using efficient communication schemes, routing and networks.

11. Parallel Numerical Methods and Applications

The need for high performance computations is driven by the need for large-scale simulations in science and engineering, finance, life sciences etc. This demand goes hand in hand with the necessity to develop highly scalable numerical methods and algorithms that are able to efficiently exploit modern computer architectures. The scalability of these algorithms and methods and their suitability to efficiently utilize the available high performance, but in general heterogeneous, computer resources, is a key point to improve the performance of Computational Science and Engineering applications.

12. Accelerator Computing

Hardware accelerators of various kinds offer a potential for achieving massive performance in applications that can leverage their high degree of parallelism and customization. Examples include graphics processors (GPUs), manycore co-processors, as well as more customizable devices, such as FPGA-based systems, and streaming data-flow architectures.

Call for papers

Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects. Euro-Par’s unique organization into topics provides an excellent forum for focused technical discussion, as well as interaction with a large, broad and diverse audience.


We invite submissions of high-quality, novel and original research results in areas of parallel and distributed computing covered by the following topics:
  1. Support Tools and Environments
  2. Performance and Power Modeling, Prediction and Evaluation
  3. Scheduling and Load Balancing
  4. High Performance Architectures and Compilers
  5. Parallel and Distributed Data Management and Analytics
  6. Cluster and Cloud Computing
  7. Distributed Systems and Algorithms
  8. Parallel and Distributed Programming, Interfaces, and Languages
  9. Multicore and Manycore Parallelism
  10. Theory and Algorithms for Parallel Computation and Networking
  11. Parallel Numerical Methods and Applications
  12. Accelerator Computing
The conference will feature contributed and invited talks. Co-located workshops are also planned. See also the Paper Submission section.


Conference Committee

Conference Co-Chairs

Francisco F. Rivera, Tomás F. Pena, José C. Cabaleiro, Dora B. Heras

Proceedings, logistics and publicity

Tomás F. Pena, Francisco Argüello, Natalia Seoane

Submission and reviewing process

José C. Cabaleiro, Elisardo Antelo, David L. Vilariño


Dora B. Heras, Luc Bougé (ENS Rennes), Juan C. Pichel, Antonio G. Loureiro

Program Committee

1. Support Tools and Environments Chair: Matthias Müller (RWTH Aachen University, Germany) Local chair: Andrés Gómez (CESGA, Spain) Martin Schulz (Lawrence Livermore National Laboratory, Livermore, USA) Olivier Richard (LIG/INRIA, France) João M.P. Cardoso (University of Porto, Portugal) Tomás Margalef (Universitat Autonoma de Barcelona, Spain) Michael Gerndt (Technische Universität München, Germany) 2. Performance and Power Modeling, Prediction and Evaluation Chair: Petr Tůma (Charles University, Czech Republic) Local chair: Basilio Fraguela (University of A Coruña, Spain) Ana Lucia Varbanescu (University of Amsterdam, the Netherlands) Denis Barthou (Inria, France) Lizy Kurian John (University of Texas, USA) Marc Gonzalez Tallada (Universitat Politècnica de Catalunya, Spain) Andreas Knüpfer (T.U. Dresden, Germany) Diwakar Krishnamurthy (Univ. Calgary, Canada) 3. Scheduling and Load Balancing Chair: Florina Ciorba (University of Basel, Switzerland) Local chair: Ester Garzón (University of Almería, Spain) José Luis Bosque Orero (Univedrsity of Cantabria, Spain) Radu Prodan (University of Innsbruck, Austria) José Gracia (High Performance Computing Center Stuttgart, Germany) Ioana Banicescu (Mississippi State University, USA) Julius Zilinskas (Vilnius University, Lithuania) Bora Uçar (CNRS and LIP ENS Lyon, France) 4. High Performance Architectures and Compilers Chair: Christophe Dubach (University of Edinburgh, UK) Local chair: Juan Touriño (University of A Coruña, Spain) Aaron Smith (Microsoft Research, USA) Louis-Nöel Pouchet (Colorado State University, USA) Laura Pozzi (University of Lugano, Switzerland) Jerónimo Castrillón (TU Dresden, Germany) Thomas Fahringer (University of Innsbruck, Austria) Chris Adeniyi-Jones (ARM, UK) 5. Parallel and Distributed Data Management and Analytics Chair: Bruno Raffin (INRIA, France) Local chair: David Expósito (Carlos III University of Madrid, Spain) Julian Kunkel (German Climate Computing Center, Germany) Lars Nagel (Johannes Gutenberg-Universität Mainz, Germany) Toni Cortés (Barcelona Supercomputing Center, Spain) Matthieu Dorier (Argonne National Laboratory, USA) Wolfgang Frings (Jülich Supercomputing Centre, Germany) 6. Cluster and Cloud Computing Chair: Alfredo Goldman (University of São Paulo, Brasil) Local chair: Patricia González (University of A Coruña, Spain) Laura Ricci (University of Pisa, Italy) Luiz Bittencourt (University of Campinas, Brasil) Ian Foster (Argonne National Laboratory, USA) Frèderic Desprez (INRIA, France) Ivona Brandic (Technische Universität Wien, Austria) Giorgio Lucarelli (INRIA, France) Rizos Sakellariou (University of Manchester, UK) Ramón Doallo (University of A Coruña, Spain) 7. Distributed Systems and Algorithms Chair: Luís Veiga (INESC-ID, Portugal) Local chair: Rafael Asenjo (University of Málaga, Spain) Sonia Ben Mokhtar (LIRIS CNRS, France) Óscar Plata González (University of Malaga, Spain) Gheorghe Almasi (IBM, USA) Rui Oliveira (Universidade do Minho, Portugal) Javier Navaridas Palma (The University of Manchester, UK) Fabio Kon (University of São Paulo, Brasil) 8. Parallel and Distributed Programming, Interfaces, Languages Chair: María Jesús Garzarán (University of Illinois, USA) Local chair: Vicente Blanco (University of La Laguna, Spain) Maria Angeles Gonzalez Navarro (University of Malaga, Spain) Evelyn Duesterwald (T.J. Watson Research Center, IBM, USA) Didem Unat (Koç Universitesi, Turkey) Francisco Almeida (University of La Laguna, Spain) Georges da Costa (Irit, France) Marco Danelutto (University of Pisa, Italy) Mary Hall (University of Utah, USA) 9. Multicore and Manycore Parallelism Chair: Hans Vandierendonck (Queen's University, UK) Local chair: Juan Carlos Pichel (University of Santiago de Compostela, Spain) Bingsheng He (National University of Singapore, Singapore) Paul Harvey (Queen's University Belfast, UK) Michele Weiland (EPCC at University of Edinburgh, UK) Yiannis Nikolakopoulos (TU Chalmers, Sweden) Polyvios Pratikakis (FORTH, Greece) Martin Burtscher (Texas State University, USA) Georgios Goumas (National Technical University of Athens, Greece) Rutger Hofman (Vrije Universiteit Amsterdam, The Netherlands) Vania Marangozova-Martin (Grenoble University, France ) 10. Theory and Algorithms for Parallel Computation and Networking Chair: Geppino Pucci (University of Padua, Italy) Local chair: Pedro Ribeiro (University of Porto, Portugal) Kieran T. Herley (University College Cork, Cork, Ireland) Philippas Tsigas (Chalmers University of Technology, Sweden) Christos Zaroliagis (University of Patras, Greece) Mauro Bianco (Swiss National Supercomputing Centre, Switzerland) Henning Meyerhenke (Karlsruher Institut für Technologie, Germany) Michele Scquizzato (University of Houston, USA) 11. Parallel Numerical Methods and Applications Chair: Maya Neytcheva (Uppsala University, Sweden) Local chair: María Martín (University of A Coruña, Spain) Yvan Notay (Université Libre de Bruxelles, Belgium) Peter Arbenz (ETH Zürich, Switzerland) Enrique S. Quintana (University Jaime I, Spain) Fred Wubs (University of Groningen, The Netherlands) Osni Marques (Lawrence Berkeley National Laboratory, USA) 12. Accelerator Computing Chair: Bertil Schmidt (Johannes Gutenberg University of Mainz, Germany) Local chair: Arturo González (University of Valladolid, Spain) Tobias Grosser (ETH Zürich, Switzerland) Josef Weidendorfer (Technische Universität München, , Germany) Rob Van Nieuwpoort (Netherlands eScience Center, The Netherlands) Seyong Lee (Oak Ridge National Laboratory, USA) Jorge González-Domínguez (University of A Coruña, Spain) Deming Chen (University of Illinois, USA)


Workshops: Euro-Par 2017

Important Dates

For Workshop organizers:
  • Workshop proposal due (extended): February 17, 2017
  • Workshop notifications: February 24, 2017
  • Workshop website online and launch of Call for Workshop Papers: March 22, 2017
  • Workshop papers due: May 5, 2017, 23:59 AOE
  • Workshop dates: August 28-29, 2017
  • Workshop management report due: October 3, 2017

List of workshops

  • APPT - Advanced Parallel Processing Technology for Artificial Intelligence
  • Auto-DaSP - Autonomic Solutions for Parallel and Distributed Data Stream Processing
  • COLOC - Data Locality
  • Euro-EDUPAR - Parallel and Distributed Computing Education for Undergraduate Students
  • F2C-DP - Fog-to-Cloud Distributed Processing
  • HeteroPar - Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms
  • IWMSE - Multicore Software Engineering
  • LSDVE -  Large Scale Distributed Virtual Environments
  • PADABS - Parallel and Distributed Agent-Based Simulations
  • PISCES - Processors, Interconnects, Storage and Caches for Exascale Systems
  • Resilience - Resiliency in High Performance Computing with Clouds, Grids, and Clusters
  • ROME - Workshop on Runtime and Operating Systems for the Many-core Era
  • UCHPC - Unconventional High Performance Computing

Workshops Co-Chairs

Dora B. Heras (CiTIUS, University of Santiago de Compostela, Spain) Luc Bougé (ENS Rennes, France)

Paper Submission

IMPORTANT: Paper submission is already closed!

Submission guidelines

Submissions in PDF format should not exceed 12 pages in the Springer LNCS style, which can be downloaded from the Springer Web site. Paper submission is handled electronically (EasyChair). The 12 pages limit is a hard limit. It includes everything (text, figures, references) and will be strictly enforced by the submission system. Complete LaTeX sources must be provided for accepted papers. Papers should be typeset using the single column format. All submitted research papers will be peer-reviewed. Only contributions that are not submitted elsewhere or currently under review will be considered. Accepted papers will be included in the conference proceedings, published by Springer in the ARCoSS/LNCS series. Authors of accepted papers will have to sign a Springer copyright form. See also the Call for Papers.

Paper submission

Papers should be submitted through EasyChair. The submission page for papers is now closed.

Important for final papers

LaTeX vspace commands WILL be removed.
  • Please sign by hand and upload a scanned copy of the LNCS copyright agreement for the publication in the conference proceedings. (Conference title: Euro-Par 2017, Editors : Rivera et al.)
  • Please remember that all source files must be included, and the LNCS style file must be strictly followed.
  • Please do not try to cheat the system by changing the format. This would only make you lose more time as you would have to remove the format modifications and submit a correctly formatted paper anyway.

Euro-Par Location

The conference, the city and its surroundings.

The place

Santiago de Compostela is the capital of Galicia (Spain), a land which the Romans regarded as the Finis Terræ: the end of the world. With its over 1500 years of history, the scattered through its landscape you will find thousands of megalithic archaeological sites, medieval cathedrals and roman fortifications. Galician sailors fish in our unique rias with prehistoric techniques using boats designed in the roman age which are equipped with modern sonars and GPS. At the same time, the millenial stones of our cities host 21st technology business ranging from computational linguistics to web hosting, from neuroscience to small electronics design. Santiago de Compostela is also the endpoint of the Way of Saint-James, a massively important phenomenon which shaped European identity by becoming a network of routes for the exchange of goods and ideas. Visitors from all the corners of the world have been coming during centuries, for cultural or religious reasons, either walking during months routes which pre-date roman times or using modern airports and high-speed trains and highways.
  • ~100.000 inhabitants
  • Historic centre classified as a world heritage site by UNESCO in 1985
  • Small and handy for walking (if it doesn’t rain)
  • Served by an international airport at 12 Km
  • Hotels at reasonable prices
More info at the official tourist website of the galician government.

The map


For conference matters: For workshop matters: