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• #17 drkbl őstag Aucor #1

  Új Válasz 2012-11-09 17:39:35 #17

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  válasz Aucor #1 üzenetére

  "I've used a large cluster of Itanium-based machines for computational physics. They have an architectural advantage if you need the precision of 64-bit arithmetic. They are very close to their peak Gigaflop rating for regular algorithms like matrix factoring; if that describes your problem they are cost-effective -- they drop off by maybe a factor of two for general calculations. The individual processors may be expensive, but (a few years ago) it was hard to beat the price/performance of a full system, or just get enough aggregate computational power in other architectures without buying many, many, processors.

  I have a desktop dual-Xeon, and it's fast for day-to-day apps (e.g. Matlab), and I'm impressed by what it can do, but it's several times slower than an Itanium for running computationally intensive problems. " [link]

  Ask Ars: with Xeon's improvement, why bother with Itanium?

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