本文探讨了如何将大型问题分解为小型任务并在多台机器上并行执行的方法。涉及任务分解、资源分配、数据获取、同步控制及错误处理等关键步骤。
1-How do we break up a large problem into smaller tasks? More specically, how do
we decompose the problem so that the smaller tasks can be executed in parallel?
2- How do we assign tasks to workers distributed across a potentially large number
of machines (while keeping in mind that some workers are better suited to running
some tasks than others, e.g., due to available resources, locality constraints, etc.)?
3-How do we ensure that the workers get the data they need?
4-How do we coordinate synchronization among the dierent workers?
5-How do we share partial results from one worker that is needed by another?
6- How do we accomplish all of the above in the face of software errors and hardware
faults?
we decompose the problem so that the smaller tasks can be executed in parallel?
2- How do we assign tasks to workers distributed across a potentially large number
of machines (while keeping in mind that some workers are better suited to running
some tasks than others, e.g., due to available resources, locality constraints, etc.)?
3-How do we ensure that the workers get the data they need?
4-How do we coordinate synchronization among the dierent workers?
5-How do we share partial results from one worker that is needed by another?
6- How do we accomplish all of the above in the face of software errors and hardware
faults?
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