Hi,
the aim of this PR was firstly to have a correct implementation of the
spec. Speed improvement was a secondary goal, which was intentionally
pursued with conventional Java arithmetic and just a few calls to simple
methods in the standard library.
Whether the Vector API (which is still in incubation phase) might help
in this specific case remains to be explored.
As a first impression, there seem to be no good spots to parallelize
using SIMD instructions. But engineers with more SIMD experience might
find creative ways to make good use of them.
HTH
Raffaello
On 2022-06-07 18:35, LifeIsStrange wrote:
On Mon, 9 May 2022 12:50:31 GMT, Raffaello Giulietti <d...@openjdk.java.net>
wrote:
Marked as reviewed by limck...@github.com (no known OpenJDK username).
@limck599
While we at OpenJDK appreciate constructive reviews from GitHub users not
registered in the [census](https://openjdk.java.net/census), only officially
nominated reviewers have the authority to approve this PR.
@rgiulietti friendly ping, noob question: Do you believe some parts of the
algorithm could exploit explicit SIMD instructions (via the high level [Vector
API](https://openjdk.java.net/jeps/417)) for even better performance (such as
https://github.com/wrandelshofer/FastDoubleParser ) ?
-------------
PR: https://git.openjdk.java.net/jdk/pull/3402
