python-checkins at python
Apr 1, 2012, 4:08 AM
Post #1 of 1
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cpython: Issue #14394: Use elaborate phrases that boil down to "one to two orders
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http://hg.python.org/cpython/rev/6ba569924986
changeset: 76041:6ba569924986
user: Stefan Krah <skrah [at] bytereef>
date: Sun Apr 01 13:07:24 2012 +0200
summary:
Issue #14394: Use elaborate phrases that boil down to "one to two orders
of magnitude". Provide link to the benchmarks.
files:
Doc/whatsnew/3.3.rst | 14 ++++++++++----
1 files changed, 10 insertions(+), 4 deletions(-)
diff --git a/Doc/whatsnew/3.3.rst b/Doc/whatsnew/3.3.rst
--- a/Doc/whatsnew/3.3.rst
+++ b/Doc/whatsnew/3.3.rst
@@ -603,11 +603,17 @@
C-module and libmpdec written by Stefan Krah.
The new C version of the decimal module integrates the high speed libmpdec
-library for arbitrary precision correctly-rounded decimal arithmetic.
-libmpdec conforms to IBM's General Decimal Arithmetic Specification.
+library for arbitrary precision correctly-rounded decimal floating point
+arithmetic. libmpdec conforms to IBM's General Decimal Arithmetic Specification.
-Performance gains range from 12x for database applications to 80x for
-numerically intensive applications:
+Performance gains range from 10x for database applications to 80x for
+numerically intensive applications. These numbers are expected gains
+for standard precisions used in decimal floating point arithmetic. Since
+the precision is user configurable, the exact figures may vary. For example,
+in integer bignum arithmetic the differences can be significantly higher.
+
+The following table is meant as an illustration. Benchmarks are available
+at (http://www.bytereef.org/mpdecimal/quickstart.html).
+---------+-------------+--------------+-------------+
| | decimal.py | _decimal | speedup |
--
Repository URL: http://hg.python.org/cpython
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