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Parallel Universe Magazine #12: Advanced Vectorization

This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:

Authored by Last updated on 07/03/2019 - 20:08
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Intel is Number 1 with a Milky Way

No, not the candy bar (though I could really go for a

Authored by Clay B. (Blackbelt) Last updated on 06/14/2017 - 16:02
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Power Configuration Part 0: Introduction: Yikes, there is a lot that is not documented

I was hoping to write a brief two part overview of how to configure the various power settings for the Intel® Xeon Phi™ coprocessor.

Authored by Last updated on 07/06/2019 - 17:00
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BKMs on the use of the SIMD directive

We had an ask from one of the various "Birds of a Feather" meetings Intel® holds at venues such as at the Super Computing* (SC) and International Super Computing* (ISC) conferences.

Authored by Last updated on 07/06/2019 - 17:00
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Power Management: So what is this policy thing?

Unlike a lot of previous recent blogs, this series is about power management in general. At the very end of the series, I’ll write specifically about the Intel® Xeon Phi™ coprocessor.

Authored by Last updated on 07/06/2019 - 17:00
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Power Management Policy: You Mean There’s More Than One?

Power management policy has evolved over the years.

Authored by Last updated on 07/06/2019 - 17:00
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Power Management Policy: Summary and Future Policies

How about the future? Have we reached the pinnacle of power management?

Authored by Last updated on 07/06/2019 - 17:00
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Performance BKMs: There’s more than one hammer

I don’t know if any of you have noticed but Intel® has a tendency to emphasize its own homegrown tools. This isn’t bad as Intel has some of the best.

Authored by Last updated on 07/06/2019 - 17:10
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Exposing Processor Features to Dynamic Languages

Intel® for its part invests countless hours and billions of transistors to add features in our silicon products which will speed up people's lives. If only they knew how to take advantage of it! Part of our job in dynamic languages is what I call "putting the cookies on the bottom shelf". Make this advanced technology easily consumable, and show you the value of it so you can be sure to use it.
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 19:43
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The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 20:00