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February 12, 2007

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When designed in early, most applications can benefit from parallel processing. It's true that synchronization can be a challenge at first, but it all just makes sense once you've worked with it longer. I'll be anxious to see how things progress in the next few years.

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Their biggest hurdle, they say, is the fact that modern software isn't ready. Not only applications, but operating systems as well. If we can't scale well to dual or quad processors, what's the point of even moving to 16, let alone 80. I wonder about this argument though. It seems to me that certain applications are already very well suited to massively parallel operation -- think of grid computing. Various projects (SETI@Home, Folding@Home, the just announced OpenMacGrid, and many others) allow a huge number of computers to crunch portions of datasets. Each is handed a chunk of data, then the results are fed back to the central server. This model sounds ideal for the high-core scenario. No node is dependent on another. It's idle until work is assigned, it does its own thing, then it sends back the end result. One big thing is that this model is designed assuming high-latency. Smaller chunks of data aren't worth the round-trip. It's also not intended for any kind of realtime consumption. Some changes to these base assumptions would be required, but it seems like the multithreaded/core outlook isn't a bleak as it's made out to be.

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Some changes to these base assumptions would be required, but it seems like the multithreaded/core outlook isn't a bleak as it's made out to be.

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I am interested in it for a long time! This model sounds ideal for the high-core scenario. No node is dependent on another. It's idle until work is assigned, it does its own thing, then it sends back the end result. One big thing is that this model is designed assuming high-latency.

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A good blog! One big thing is that this model is designed assuming high-latency. Smaller chunks of data aren't worth the round-trip. It's also not intended for any kind of realtime consumption. Some changes to these base assumptions would be required, but it seems like the multithreaded/core outlook isn't a bleak as it's made out to be.

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Earlier I posted about the challenges and opportunities available to those willing to take on the multithreaded monster in the design of their applications. The way I see it, this opportunity is here, now, in the present and at multiple levels. The hardware is here and its market penetration is getting better each day.

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The way I see it, this opportunity is here, now, in the present and at multiple levels. The hardware is here and its market penetration is getting better each day.

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