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Porting the C++ code directly to Java:

macpro:ValueAtRisk sam$ time java -cp . VarMT

VaR = -43.7173372179254300

real 0m36.863s user 4m48.944s sys 0m0.978s

macpro:ValueAtRisk sam$ time ./var-mt

VaR = -43.7173372179254329

real 0m27.048s user 3m33.971s sys 0m0.145s

Pretty good showing for such a low level benchmark.

https://github.com/spullara/Benchmarks/blob/master/Server/Va...

It would be moderately interesting to see how well this benchmark would do in OpenCL or the like.

(Benchmarks ran on a 3.33 GHz, 6-core MacPro, JDK 7 Developer Preview)



cool :) Thanks for doing that - we can merge in at later date and include Java results.

We expose OpenCL in Fabric as an extension, as we wanted to be able to target heterogeneous hardware architectures. We didn't use this for benchmarking as we wanted to show CPU performance first. For clarity - KL does not compile down to OpenCL, you have to write for the GPU explicitly.




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