Hi Daniel,
I've taken a look at ITC's implementation of java.math (original
Harmony-199 donation) and tried to compare it to one donated by
Harmony-39 on the method-by-method base.
For example, I've tested about 30 BigInteger's methods and the result is
the following:
- 10 ITC's methods are slower,
- 5 methods are approximately the same in both implementations,
- 14 ITC's methods are faster.
This is determined either by internal representation (which is different
in both implementations) or algorithmically.
On the other hand, I must admit that ITC's BigDecimal arithmetic is
faster while, for example, toString() is slower for the values I've
randomly chosen.
I agree with you that real performance advantages should be demonstrated
by real applications.
On the whole, the package is well designed and the code quality is good.
The disadvantage I've noticed is unimplemented serialization but this
could be easily eliminated.
Regards,
Elena Semukhina
Intel Middleware Products Division
-----Original Message-----
From: Daniel Fridlender [mailto:[EMAIL PROTECTED]
Sent: Friday, April 21, 2006 2:52 AM
To: harmony-dev@incubator.apache.org
Subject: ITC's java.math package contribution
Dear all,
on behalf of ITC I have updated our contribution of the package
java.math including some recent optimizations (HARMONY-199). I think
it would be interesting to compare our implementation with the one
donated by Intel (HARMONY-39). In order to do that, it would be nice
to have a collection of applications were the package is used.
So far, we have tried both implementations with a realistic
application (RSA key generation) and our implementation turned out to
have a significantly better performance.
Another point is that we implemented the full 1.5 API functionality,
which in the case of BigDecimal amounts to having about twice as many
methods as in the 1.4.2 API. This may have little significance now,
but it will definitely be important when Harmony moves to 1.5
Our implementation uses 1.5 syntax since the 1.5 API includes an Enum
(RoundingMode).
It should be easy to obtain a 1.4.2 implementation of the 1.4.2 API
from
it.
Some more information about our development can be found at
http://www.fitc.unc.edu.ar/javadev/math/
Daniel Fridlender
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