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Subject: [OMPI users] Call For Participation: EuroMPI 2013. Madrid, Spain. September 15-18th
From: Javier Garcia Blas (fjblas_at_[hidden])
Date: 2013-08-20 22:35:21

Dear Sir or Madam,

(We apologize if you receive multiple copies of this message)


Recent Advances in Message Passing Interface. 20th European MPI Users' Group Meeting (EuroMPI 2013)

EuroMPI 2013 is being held in cooperation with SIGHPC

Madrid, Spain, September 15-18, 2013


EuroMPI is the preeminent meeting for users, developers and researchers to interact and discuss new developments and applications of message-passing parallel computing, in particular in and related to the Message Passing Interface (MPI). The annual meeting has a long, rich tradition, and the 20th European MPI Users' Group Meeting will again be a lively forum for discussion of everything related to usage and implementation of MPI and other parallel programming interfaces. Traditionally, the meeting has focused on the efficient implementation of aspects of MPI, typically on high-performance computing platforms, benchmarking and tools for MPI, short-comings and extensions of MPI, parallel I/O and fault tolerance, as well as parallel applications using MPI. The meeting is open towards other topics, in particular application experience and alternative interfaces for high-performance heterogeneous, hybrid, distributed memory systems.

The meeting will feature contributed talks on the selected, peer-reviewed papers, invited expert talks covering upcoming and future issues, a vendor session where selected vendors will present their new developments in hybrid and heterogeneous cluster and high-performance architectures, a poster session, and a tutorial day.


- Understanding applications performance with Paraver

Writing parallel applications that make a good use of the resources is not an easy task. Performance analysis tools support developers on the evaluation, tuning and optimization of their codes. In this tutorial we will describe the performance tools developed at BSC (, an open-source project targeting not only to detect performance problems but to understand the applications' behavior. The key component is Paraver, a performance analyzer based on traces with a great flexibility to explore the collected data. The Dimemas simulator can be used to predict the application's behavior under different scenarios. Provided with such tools, the analyst can generate and validate hypothesis to investigate the trails provided by the execution trace.

- Using Coprocessors in MPI programs

Implementing the high performance version 2.2 of the Message Passing Interface(MPI)-2 specification on multiple fabrics, Intel® MPI Library 4.1 focuses on making applications perform better on IA-based clusters. The ease of use of Intel® MPI and analysis tools like the Intel® Trace Analyzer and Collector is available for both the Intel® Xeon and Intel® Many Integrated Core (MIC) architecture. Intel® MPI Library supports different programming models on Xeon Ph(TM) coprocessors and we will demonstrate these models with examples in addition to the basics of debugging Intel® MPI codes on Xeon Ph(TM) coprocessors.
In this tutorial, as a starting point, you will learn how a basic MPI program can utilize the card as a coprocessor by leveraging the offload model where all MPI ranks are run on the main Xeon host, and the application utilizes offload directives to run on the Intel Xeon Phi coprocessor card. Well-known threading technologies, such as OpenMP, can implement the offload regions. We'll then focus on how natively-compiled MPI applications can be executed directly on the card. The final method explored will emphasize how to run on a mix of architectures via distribution of the ranks on both the coprocessor card and the host node. As part of the final segment, we'll also discuss how to analyze the load balance of an MPI application which runs in such a heterogeneous environment.


- Prof. Alok N. Choudhary: Exascale Systems, Big Data and Knowledge Discovery - Challenges and Opportunities

The primary goal of exascale systems is to accelerate scientific discoveries and engineering innovation, yet the impact of exascale will not only be measured by how fast a single simulation is performed, but rather by the speed and acceleration on overall knowledge discoveries. Modern experiments and simulations involving satellites, telescopes, high-throughput instruments, imaging devices, sensor networks, accelerators, and supercomputers yield massive amounts of data. That is, processing, mining and analyzing this data effectively and efficiently will be a critical component of the knowledge discovery process, as we can no longer rely upon traditional ways of dealing with the data due to its scale and speed. Interestingly, an exascale system can be thought of another instrument generating "big data". But, unlike most other instruments, such a system also presents an opportunity for big data analytics. Thus the fundamental question is what are the challenges and opportunities for exascale systems to be an effective platform for not only perform traditional simulations, but will also be suitable for data-intensive and data driven computing to accelerate time to insights. That has implications on how computing, communication, analytics and IO are performed. This talk will address these emerging challenges and opportunities.

- Prof. Alex Ramirez: The Mont-Blanc approach towards Exascale

The Mont-Blanc project is developing a European Exascale approach leveraging on the strengths of European embedded industry. We believe that we can build on commodity components coming from the energy-efficient embedded market to deploy a massively parallel system capable of achieving Exaflop performance at a lower cost and power consumption than other alternatives. This talk will describe the Mont-Blanc philosophy, the architecture of our first prototype system, and the programming challenges involved in such massively parallel systems.

- Prof. Jesper Larsson TrÀff: Unique Features of MPI: Collective Operations on Structured Data

MPI, the Message-Passing Interface, owes a large part of its pervasiveness to the orthogonality and completeness of the specification; another large part to the existence of efficient implementations of the full standard. We examine key concepts of the collective communication model of MPI (including extensions in the MPI 3.0 specification) and their relations to the derived datatype mechanism for describing structured application data. Together with the mechanisms for creating process subsets, these models provide still unreaped descriptive and performance advantages for applications and libraries, while on the other hand still posing significant implementation challenges.

- Dr. Rajeev Thakur: Evolving MPI to Address the Challenges of Exascale Systems

The vast majority of production parallel scientific applications today use MPI and run successfully on the largest systems in the world. For example, MPI applications are running at full scale on the Sequoia system (on ~1.6 million cores) and achieving 12 to 14 petaflops of sustained performance. As we progress from petascale to exascale systems over the course of this decade, it is essential that MPI must evolve to run as efficiently as possible on future systems, so that applications can continue to gain the benefits of the performance offered by these systems. This talk will examine the challenges in scaling MPI to exascale and discuss current work in addressing those challenges.

- Dr. Panagiotis Tsarchopoulos: High-Performance Computing in Horizon 2020

Horizon 2020 is the next European Framework Programme for Research and Innovation that will run from 2014 to 2020. The talk will give an overview of Horizon 2020 and will discuss the perspectives for High-Performance Computing in Horizon 2020.



The IMUDI special session, to be held as a full-day meeting at the EuroMPI 2013 conference in Madrid, Spain, focuses on bringing together the MPI end-user and MPI implementor communities through discussions on MPI usage experiences, techniques, and optimizations. This meeting will focus on evaluating the MPI standard from the perspective of the MPI end-user (application and library developers) and address concerns and insights of MPI implementors and vendors. Unlike workshops associated with other conferences, the IMUDI session is still considered to be a part of the Euro MPI conference. Submissions will be reviewed separately to facilitate bringing together research publications falling into these "special focus" areas.

More info at:


In Bioinformatics, we can find a variety of problems which are affected by huge processing times and memory consumption, due to the large size of biological data sets and the inherent complexity of biological problems. In fact, Bioinformatics is one of the most exciting research areas in which Parallelism finds application. Successful examples are mpiBLAST or ClustalW-MPI, among many others. In conclusion, Bioinformatics allows and encourages the application of many different parallelism-based technologies. The focus of this workshop is on MPI-based approaches, but we welcome any technique based on: multicore and cluster computing, supercomputing, grid computing, cloud computing, hardware accelerators as GPUs, FPGAs, or Cell processors, etc.

More info at:


- Tutorial(s): September 15th, 2012
- Conference: September 16th-18th, 2013


Platinum: CISCO
Gold: Bull


The conference will hopefully be well supported by sponsors, which will help directly towards keeping the fees low. As far as possible, special student fees will be offered.