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Compile numeric.c with -ftree-vectorize where available, and adjust the innermost loop of mul_var() so that it is amenable to being auto-vectorized. (Mainly, that involves making it process the arrays left-to-right not right-to-left.) Applying -ftree-vectorize actually makes numeric.o smaller, at least with my compiler (gcc 8.3.1 on x86_64), and it's a little faster too. Independently of that, fixing the inner loop to be vectorizable also makes things a bit faster. But doing both is a huge win for multiplications with lots of digits. For me, the numeric regression test is the same speed to within measurement noise, but numeric_big is a full 45% faster. We also looked into applying -funroll-loops, but that makes numeric.o bloat quite a bit, and the additional speed improvement is very marginal. Amit Khandekar, reviewed and edited a little by me Discussion: https://postgr.es/m/CAJ3gD9evtA_vBo+WMYMyT-u=keHX7-r8p2w7OSRfXf42LTwCZQ@mail.gmail.com |
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PostgreSQL Database Management System ===================================== This directory contains the source code distribution of the PostgreSQL database management system. PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions. This distribution also contains C language bindings. PostgreSQL has many language interfaces, many of which are listed here: https://www.postgresql.org/download/ See the file INSTALL for instructions on how to build and install PostgreSQL. That file also lists supported operating systems and hardware platforms and contains information regarding any other software packages that are required to build or run the PostgreSQL system. Copyright and license information can be found in the file COPYRIGHT. A comprehensive documentation set is included in this distribution; it can be read as described in the installation instructions. The latest version of this software may be obtained at https://www.postgresql.org/download/. For more information look at our web site located at https://www.postgresql.org/.