Submitting queries in parallel using pool.map within SQLAlchemy

I have query which I would like to submit in parallel using the multiprocessing.Pool module.

My question is how I can submit the query along with the corr. binding variables to pool.map ?

So if the query is something like:

SELECT a.col1, a.col2, t.col1 FROM table a, 
 (VALUES(:x1,:x2),(:y1,:y2),(:z1,:z2)) 
 AS t(col1,col2) WHERE a.col2=col2 AND a.col1 % t.col1 

and I dict of binding variables with each query:

{x1 : 'AA', x2:'XX',y1:'BB', y2:'YY',z1:'CC',z2:'ZZ'}

How can I invoke pool.map(..) on this ? I ask this because pool.map() only supports one-argument worker functions

Now, if I WASN'T using binding variables, I would invoke it like this:

def execSQL():
    #init db_user, db_host, sql_qry here
    ...
    conn = psycopg2.connect("dbname=%s host=%s user=%s password=%s" % (db_name, db_host, db_user, db_pwd))
    curs = conn.cursor()
    curs.execute(sql_qry)
    records = curs.fetchall()
    return records 

def run():
    sql_queries = [...] # some list of queries to be run in parallel
    pool = Pool(processes=4)
    results=pool.map(execSQL, sql_queries)