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Computer Science
Distributed Systems
Parallel and Distributed Computing
1. Introduction to Parallel and Distributed Computing
2. Parallel Computing Fundamentals
3. Parallel Algorithms and Applications
4. Distributed Computing Fundamentals
5. Time and Coordination in Distributed Systems
6. Replication and Consistency
7. Fault Tolerance in Distributed Systems
8. Distributed Algorithms
9. Large-Scale Data Processing
10. Cloud Computing
11. High-Performance Computing
12. Emerging Paradigms and Technologies
13. Performance Analysis and Optimization
14. Security in Parallel and Distributed Systems
11.
High-Performance Computing
11.1.
HPC Architectures
11.1.1.
Supercomputers
11.1.2.
Cluster Computing
11.1.3.
Grid Computing
11.1.4.
Hybrid Architectures
11.2.
HPC Interconnects
11.2.1.
InfiniBand
11.2.2.
Ethernet
11.2.3.
Omni-Path
11.2.4.
Custom Interconnects
11.3.
Parallel File Systems
11.3.1.
Lustre
11.3.2.
GPFS
11.3.3.
Parallel NFS
11.4.
HPC Programming Models
11.4.1.
MPI Programming
11.4.2.
OpenMP Programming
11.4.3.
Hybrid Programming
11.4.4.
PGAS Languages
11.5.
Performance Optimization
11.5.1.
Profiling and Analysis
11.5.2.
Load Balancing
11.5.3.
Communication Optimization
11.5.4.
Memory Optimization
11.6.
Scientific Applications
11.6.1.
Computational Fluid Dynamics
11.6.2.
Molecular Dynamics
11.6.3.
Climate Modeling
11.6.4.
Bioinformatics
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12. Emerging Paradigms and Technologies