For Loop using row_data to increase performance

Hi,

Here are sample stat:
- Template_product has 1,033040 rows
- template_all_in_one has 93,796,400 rows

I basically need to calculate the total for each article in
template_all_in_one and update it to Template_product.

What is the best way to improve the performance? I already have 7
indexes specify for the column. My desktop has 4quad and 8 GB memory.
it only used up 1 GB memory. is it possible to increase the memory, so
the query will use more memory and end up faster performance?

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CREATE OR REPLACE FUNCTION test_update_template_db()
RETURNS integer AS
$BODY$
DECLARE
text_manipulation TEXT :='';
row_data template_product%ROWTYPE;

BEGIN

FOR row_data IN SELECT * FROM template_product LOOP

update template_product set total_all_in_one = (select count(*)
from template_all_in_one where template_article_name =
row_data.template_article_name)
where template_product.id = row_data.id;

END LOOP;

RETURN 1;
END;
$BODY$
LANGUAGE 'plpgsql' VOLATILE
COST 100;
ALTER FUNCTION test_update_template_db() OWNER TO postgres;
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