Better way to bulk-load millions of CSV records into postgres?

Hi,

Currently, I've got a python script using pyPgSQL that
parses the CSV record, creates a string that is a big
"INSERT INTO VALUES (...)" command, then, execute() it.

top shows that this method uses postmaster with ~70% CPU
utilization, and python with ~15% utilization.

Still, it's only inserting ~190 recs/second. Is there a
better way to do this, or am I constrained by the hardware?

Instead of python and postmaster having to do a ton of data
xfer over sockets, I'm wondering if there's a way to send a
large number of csv records (4000, for example) in one big
chunk to a stored procedure and have the engine process it
all.

Linux 2.4.18
PostgreSQL 7.2.1
python 2.1.3
csv file on /dev/hda
table on /dev/hde (ATA/100)

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