COLOC workshop

COLOC: Open workshop on data locality In conjunction with Euro-Par 2017, Santiago de Compostela, August 29, 2017
Submission deadline: Extended to May 12, 2017

A well-known handicap for HPC applications running on modern highly parallelized and heterogeneous HPC platforms is that an increasing amount of time is spent in communication and data transfers; thus, it is necessary to design, implement and validate new approaches to optimize process placement and data locality management.

A well-known handicap for HPC applications running on modern highly parallelized and heterogeneous HPC platforms is that an increasing amount of time is spent in communication and data transfers; thus, it is necessary to design, implement and validate new approaches to optimize process placement and data locality management.

Program chairs
• Emmanuel Jeannot, Inria France
• François Verbeck, Atos/Bull, France

Call for Paper

The COLOC workshop seeks contribution targeting (i) developing methods and tools enabling to model all resources of a computing platform using a hierarchical topology that describes the characteristics of these resources, (ii) enhancing upper software layers (resource manager; data communication libraries; performance analysis tools) to better manage data placement, thereby maximize application performance, and (iii) validating data-locality optimization, using applications from different domains. The aim of this workshop is to present the main recent results in the domain of parallel computing where locality and topology is used to enhance performance. Concerning, application domain, we will seek contribution from several fields. First, we will target high-performance computing. However, we also look at contributions on data locality and energy efficiency, data locality in the context of BigData or deep learning applications.

Topics

Areas or research interest include, but are not limited to:

  • Modeling node topology
  • Modeling network and communication
  • Performance analysis of application to understand affinity
  • Affinity metrics
  • Runtime support for extracting affinity from application
  • Code analysis in order to understand communication pattern
  • Algorithm to improve locality
  • Language, abstraction and compiler support for data locality
  • Data structure and library support to better manage memory access
  • Runtime-system and dynamic locality management
  • System-scale locality optimization
  • Validating locality optimization at thread or process level
  • Memory management
  • Locality management in large-scale application

Keywords: Algorithm, Application, Parallel Programming, Performance, and Scalability

Targeted audience:
  • HPC application developers interested in exploring new ways to optimize their code.
  • HPC centers and clusters managers to enhance cluster usage and application efficiency.
  • Academics and researchers in scientific computing.
Program

TBA

Important date:
  • Submission opening: March 22, 2017
  • Submission deadline: extended to May 12, 2017
  • Workshop date: August 29, 2017
  • Camera ready version: October 2017
What and how to submit a paper

Paper, in PDF format, should be submitted to the workshop easychair submission site (select Data Locality). Papers should be formatted according to the LNCS style that can be downloaded from the springer website. Page limit is 12. 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. Authors of accepted papers will have to sign a Springer copyright form. Short papers (2-4 pages) are also accepted submission. However, only paper which camera-ready version will be longer than 10 pages will be included in the proceedings published by Springer in the ARCoSS/LNCS series.