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[PCWorld] HSA targets native parallel execution in Java virtual machines by 2015

post #1 of 8
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Quote:
Industry consortium HSA Foundation intends to bring native support for parallel acceleration in Java virtual machines, which would make it easier to tap into multiple processors like graphics processors to speed up code execution.

Source http://www.pcworld.com/article/2047422/hsa-targets-native-parallel-execution-in-java-virtual-machines-by-2015.html
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post #2 of 8
This will be a boon to Android application development, right? Does Dalvik VM fully support standard Java bytecode?
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post #3 of 8
Considering how ARM is part of the HSA foundation I would expect this to become a major part of Android.
The next step would be to bring this to C#.
post #4 of 8
Quote:
Originally Posted by DuckieHo View Post

This will be a boon to Android application development, right? Does Dalvik VM fully support standard Java bytecode?

Not entirely, but its apples to oranges. It is the same programming language but the grammar is thinned. Think along the lines of EE - > SE. You still need to compile for Dalvik IIRC it isn't just drag and drop .class / jars from your pc and expect the VM to execute correctly.

The optimizations might be able to be made in parallel, and likely will if this jumps because of the similarities of coding for android "natively".
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post #5 of 8
Thread Starter 
Quote:
Originally Posted by DuckieHo View Post

This will be a boon to Android application development, right? Does Dalvik VM fully support standard Java bytecode?

Cousins, bytecode .class is converted in .dex (dalvek executable.) However, this tech shouldn't be hard to make good on Android phones and tablets.
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post #6 of 8
More importantly, the inclusion in the standard Java release means more developers will have exposure..... leading to more developers able to utilize it!
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post #7 of 8
This is just scratching the surface of possibilities, and people still complain about not having eight cores. rolleyes.gif
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post #8 of 8
This is fantastic. Now that we are seeing up to 100 GFlop GPU's in phones and tablets this means a massive jump in performance.
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