COLOC: Open workshop on data locality In conjunction with Euro-Par 2017, Santiago de Compostela, August 29, 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
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
- 9:00 - 9:15: Introduction. Emmanuel Jeannot and François Verbeck
- 9:15 - 10:00: Invited speaker - Managing data locality for convergence HPC/Big Data - Rosa Badia
- 10:00 - 10:30: Towards scalable parallel implementation of unstructured meshes - based Finite Element codes for Computational Fluid Dynamics. Quang Dinh, Nathalie Moller and William Jalby.
- 10:30 - 11:00: Break
- 11:00 - 11:30: Large-scale experiment for topology-aware resource management Yiannis Georgiou, Guillaume Mercier and Adèle Villiermet.
- 11:30 - 12:00: Runtime Support for Distributed Dynamic Locality. Tobias Fuchs and Karl Fürlinger.
- 12:00 - 12:30: Netloc: a Tool for Topology-Aware Process Mapping. Cyril Bordage and Brice Goglin.
- 12:30 - 13:00: Asynchronous One-Sided Communications for Scalable Fast Multipole Method in Electromagnetic Simulations. Nathalie Möller, Eric Petit, Quentin Carayol, Quang Dinh and William Jalby.
Important date:
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Workshop date: August 29, 2017
- Camera ready version: October 2017