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Advantages: Reduces memory access times, Improves cache performance, Minimizes communication overhead; Disadvantages: Programming complexity, May require explicit data distribution control, Affected by system's memory hierarchy

Advantages: Scales well to large systems, Natural for geographically distributed computation, Facilitates modular programming; Disadvantages: High communication cost for non-local data, Requires explicit data decomposition, Complex error handling due to system size

Advantages: Faster data access, Simpler communication model, Efficient for fine-grained communication; Disadvantages: Limited scalability, Potential for data races, Complex data synchronization

Advantages: Can scale to a large number of processors, Locality of reference can lead to performance gains, Flexible; Disadvantages: Complex memory hierarchy, Performance can vary significantly, Non-trivial programming model

Advantages: Scalability, No data races, Explicit communication; Disadvantages: Communication overhead, Complex programming model, Less efficient for fine-grained communication

Advantages: Simplifies programming by providing a consistent view of memory; Disadvantages: Protocol overhead, Can limit scalability, Complexity in multiprocessor systems

Advantages: --; Disadvantages: Reduces performance due to unnecessary invalidation of cache lines, Hard to detect and debug, Can deteriorate scalability

Advantages: Ensures data consistency and order; Disadvantages: Can lead to performance bottlenecks, Deadlocks, Complicates programming

Advantages: Improves resource utilization, Maximizes throughput, Minimizes response time; Disadvantages: Overhead of balancing decisions, May not be optimal due to dynamic workloads, Complexity in heterogeneous environments