Introduction

  • Pierre Manneback
  • Thierry Gautier
  • Gudula Rnger
  • Manuel Prieto Matias
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6853)

Abstract

Developing parallel or distributed applications is a hard task and it requires advanced algorithms, realistic modeling, efficient design tools, high-level programming abstractions, high-performance implementations, and experimental evaluation. Ongoing research in this field emphasizes the design and development of correct, high-performance, portable, and scalable parallel programs. Related to these central needs, important work addresses methods for reusability, performance prediction, large-scale deployment, self-adaptivity, and fault-tolerance. Given the rich history in this field, practical applicability of proposed methods, models, algorithms, or techniques is a key requirement for timely research. This topic is focusing on parallel and distributed programming in general, except for work specifically targeting multicore and manycore architectures, which has matured to becoming a Euro-Par topic of its own.

Keywords

Failure Detector Practical Applicability Rich History Message Loss MapReduce Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Pierre Manneback
  • Thierry Gautier
  • Gudula Rnger
  • Manuel Prieto Matias

There are no affiliations available

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