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A comment on Why I Still Use Python for High Performance Scientific Computing. Parent comment

Re:Why I Still Use Python for High Performance Scientific Co... by acchow on Wednesday December 02, 2015 @02:46AM (#10661559)
The major implementations of the JVM are jited, not interpreted. Yes, you get great performance with jitting, tho not necessarily without unpredictable GC pauses and without a loss of energy efficiency from having to run a jit alongside your actual code.
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Re:Why I Still Use Python for High Performance Scientific Co... by xxs on Wednesday December 02, 2015 @11:50AM (#10664036)
GC pauses have little to nothing to do JIT process itself. You can get JVMs w/ read barriers and soft-realtime guarantees.[0][1] Please note, gc and jit are quite a different thing, even if the gc needs help from the jit.

[0]: https://www-01.ibm.com/support/knowledgecenter/SSYKE2_7.0.0/... [1]: https://www.azul.com/products/zing/

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