I can't answer you original question but I doubt if DFP is really that
much faster. I would imagine it's implemented in millicode and not
silicone so is a software implementation at heart. I would be surprised
if it beats BigDecimal on a PC but I could be wrong.
On 23/3/23 00:42, René Jansen wrote:
Without reading any documentation (sorry!), the issue at hand is this. I want
to show the performance gains of using DFP (Decimal Floating Point) for the
typical financial application, after I noticed at some other client their
bought packages seldom were compiled using the right compiler options (some
could have run in 1966 or so - well I exaggerate, but a Z9 would not have been
a problem).
This is for Java applications, and it proves slightly harder than I thought. I
don’t have object modules to disassemble and while I can do
-XX:+UnlockDiagnosticVMOptions -XX:+PrintAssembly on my mac or any Linux box,
IBM’s J9 seems to ignore these altogether. For Linux and the mac there is a .so
(or .dylib) that even disassembles what you’d otherwise are shown in hex -
https://chriswhocodes.com/hsdis/ which is called hsdis but what I would not
upload to other people’s machines lightly without building it myself.
Does anybody know how to ask the J9 (Java 8) on z/OS how to show me what it
does when the JIT decides native code would be best?
many thanks in advance,
best regards,
René Jansen.
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