CIS192 Python Programming
DO NOT
DISTRIBUTE THIS CIS192 Python Programming Parallel and Distributed Computing MATERIAL Robert Rand
University of Pennsylvania
(CopyriAgpril h27, 2t016Robert
Rand, 2016)
Robert Rand (University of Pennsylvania)
CIS 192
April 27, 2016 1 / 27
Outline
1 Performance Measurement
2 Concurrency Multi-Thread Multi-Process Worker Pools
3 Distributed Computing Shell Commands Fabric
DO NOT DISTRIBUTE THIS MATERIAL
(Copyright Robert Rand, 2016)
Robert Rand (University of Pennsylvania)
CIS 192
April 27, 2016 2 / 27
Time and Clock
time.time
I Returns the amount of time (in seconds) since the Epoch. I January 1, 1970 on UNIX and UNIX-based systems (eg. Linux,
OSX) I January 1, 1601 on Windows I Higher accuracy on UNIX machines
time.clock
I Behaves differently on UNIX and Windows machines. I Shows processor time on UNIX machines (ignores time sleeping) I Shows time since first call on Windows. I Higher accuracy on Windows machines.
DO NOT DISTRIBUTE THIS MATERIAL (Copyright Robert Rand, 2016)
Robert Rand (University of Pennsylvania)
CIS 192
April 27, 2016 3 / 27
Timeit
The timeit module times execution of bits of code
Uses time.clock on Windows and time.time on everything else. It avoids some common traps for timing code
I Setup code is separated out and not timed I Garbage collecting is turned off I Repeated trials suppress measurement noise
Use timeit when you want to see which of 2 options is faster
DO NOT DISTRIBUTE THIS MATERIAL (Copyright Robert Rand, 2016)
Robert Rand (University of Pennsylvania)
CIS 192
April 27, 2016 4 / 27
Using Timeit
import timeit
t = timeit.Timer(stmt=stmt_code, setup=setup_code) t.timeit(number=num_trials)
setup is executed once before any stmts stmt is executed num_trials times Returns time in seconds taken to execute The time does not include executing setup Copying the code to execute into a multi-line string could be useful A better idea is to import it:
I setup = 'from __main__ import func_to_time'
DO NOT DISTRIBUTE THIS MATERIAL
(Copyright Robert Rand, 2016)
Robert Rand (University of Pennsylvania)
CIS 192
April 27, 2016 5 / 27
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