| 1 |
A parallel language provides an executable notation for implementing a parallel algorithm.
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| 2 |
Design criteria:
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How are parallel operations defined?
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static tasks vs. dynamic tasks vs. implicit operations
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How is data shared between tasks?
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explicit communication/synchronization vs. shared memory
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How is the language implemented?
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low-overhead runtime systems vs. optimizing compilers
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| 3 |
Usually a language reflects a particular style of expressing parallelism.
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| 4 |
Data parallel expresses concept of identical algorithm on different parts of array
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| 5 |
Message parallel expresses fact that at low level parallelism implies information is passed between different concurrently executing program parts
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