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rick merritt
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re: IBM, Oracle battle over big iron at Hot Chips
rick merritt   6/25/2013 2:57:02 PM
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What will you be watching for at Hot Chips?

US Made
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re: IBM, Oracle battle over big iron at Hot Chips
US Made   6/25/2013 6:26:37 PM
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it is becoming more interesting to watch end products like google glass...new gadgets, even though fundamental technologies are so important, end device is much more cool..Looking for cool devices conference.

pradipk
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re: IBM, Oracle battle over big iron at Hot Chips
pradipk   6/26/2013 6:21:06 AM
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Is there really any cool consumer product in market using IBM technology, Following is one example, http://www.rethink-wireless.com/2010/05/25/ibm-mediatek-fruits-60ghz-pact.htm

interconnect Guy
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re: IBM, Oracle battle over big iron at Hot Chips
interconnect Guy   6/26/2013 12:36:43 PM
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Melting Butter at would be a good showstopper See:...Thermal Comparison and Butter Benchmark http://www.youtube.com/watch?v=4mSD_EhgGSc

ChrisGar
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re: IBM, Oracle battle over big iron at Hot Chips
ChrisGar   6/26/2013 6:59:56 PM
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Does that mean that Qualcomm CPUs could not be presented at Hot Chips ?

rick merritt
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re: IBM, Oracle battle over big iron at Hot Chips
rick merritt   6/27/2013 3:48:45 AM
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@Chris: No, it means organizers have trouble convincing ARM SoC companies to give talks on their chips.

eewiz
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re: IBM, Oracle battle over big iron at Hot Chips
eewiz   6/27/2013 3:55:52 AM
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What exactly is the advantage of using Power 8/Sun M6 in a server vs an Intel Server CPU?

anon6223816
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re: IBM, Oracle battle over big iron at Hot Chips
anon6223816   6/27/2013 9:17:16 PM
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There are only 3 ways to perform a computation faster*: 1) faster technology/clock rate, 2) do independent parts in parallel and combine, 3) use a better algorithm. Assume that you have a computation that has parts that can be done in parallel (e.g, the "map" of a map-reduce), and sequential parts that can't be done in parallel (e.g., the final "reduce" step of a map-reduce). let's say 1/10 of the total time in spent in the serial part. Even if you have an infinite number of processors available and can drive the parallel parts to zero time, you can't get more than a 10X speedup. You also need a way to speed up the sequential part. Assume you have a program that *might* be parallelizable, but nobody has yet gotten around to doing so, or that it would be hard enough to do that the programmer time to do the work would not justify the computing time saved over the number of runs made. Even with infinite CPUs available, such a program still runs 1X as fast as on a uniprocessor. A Power8 or Sun M6 CPU is supposed to run sequential code faster than competing CPUs can run it. Sometimes that's important enough to spend whatever it costs to get even a few percentage points of improvement over the next-best thing. ------- * Per Professor David Kuck, of the University of Illinois and recently Intel, a pioneer in parallel processing. He probably still offers a bounty for a valid 4th method that isn't a combination of the other 3.



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