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2019 Project-Team Activity Report
TADAAM
Topology-aware system-scale data management for high-performance computing
Research centre:
Bordeaux - Sud-Ouest
In partnership with: Institut Polytechnique de Bordeaux, Université de Bordeaux
In collaboration with: Laboratoire Bordelais de Recherche en Informatique (LaBRI)
In collaboration with: Laboratoire Bordelais de Recherche en Informatique (LaBRI)
Field: Networks, Systems and Services, Distributed Computing
Theme: Distributed and High Performance Computing
Theme: Distributed and High Performance Computing
Keywords:
Computer Science and Digital Science:
- A1.1.1. - Multicore, Manycore
- A1.1.2. - Hardware accelerators (GPGPU, FPGA, etc.)
- A1.1.3. - Memory models
- A1.1.4. - High performance computing
- A1.1.5. - Exascale
- A1.1.9. - Fault tolerant systems
- A1.2. - Networks
- A2.1.7. - Distributed programming
- A2.2.2. - Memory models
- A2.2.4. - Parallel architectures
- A2.2.5. - Run-time systems
- A2.6.1. - Operating systems
- A2.6.2. - Middleware
- A3.1.2. - Data management, quering and storage
- A3.1.3. - Distributed data
- A3.1.8. - Big data (production, storage, transfer)
- A6.2.6. - Optimization
- A6.2.7. - High performance computing
- A6.3.3. - Data processing
- A7.1.1. - Distributed algorithms
- A7.1.2. - Parallel algorithms
- A7.1.3. - Graph algorithms
- A8.1. - Discrete mathematics, combinatorics
- A8.2. - Optimization
- A8.7. - Graph theory
- A8.9. - Performance evaluation
Other Research Topics and Application Domains:
- B6.3.2. - Network protocols
- B6.3.3. - Network Management
- B6.5. - Information systems
- B9.5.1. - Computer science
- B9.8. - Reproducibility