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It is not the case that Parallel algorithms that require exponentially many processors relative to input size are of little practical significance
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Reason for 1 of 2
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1.
Practical significance is indexed to current technological constraints, which are historically contingent and subject to radical revision.
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2.
Quantum computing architectures can implement certain forms of massive parallelism without requiring exponentially many discrete physical processors.
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3.
A claim about practical limits grounded in present engineering bounds conflates empirical limitation with principled impossibility.
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Reason for 2 of 2
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1.
Theoretical algorithms of 'little practical significance' have repeatedly driven foundational insights that later became practically indispensable, as Turing's halting problem work illustrates.
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2.
The criterion of practical significance cannot be the sole arbiter of theoretical value in complexity theory without collapsing the descriptive project into engineering.
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Reasons Against
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Reason against
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If a parallel algorithm achieves speedup only by employing exponentially many processors relative to input size, there is little hope of building a concrete computing device to implement it
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