Form groups of exactly 3 students, one of whom has a laptop.
In your group you are going to do the following:
- First come up with an algorithm for parallelizing finding the
max value in an array of size N using M threads. Assume that you
are starting with an already initialized array of N values, and you
can start out assuming that M evenly divides N (the case when it doesn't
is an extention to try after you get this case working).
Some questions to think about as you determine how to parallelize
computing max:
- what part of the cumulative operation does each thread do?
- how does a thread know which work it will do?
- do threads need to coordinate/synchronize their actions in
some way?
if so, when and how and how frequently?
- what are the limits on concurrency?
- what global state will you need? what local state?
- when you are happy with your psuedo-code algorithm talk
your algorithm through with one of the professors or ninjas before moving
on to the next step
- Together, try implementing your algorithm in pthreads.
You can do this on paper (and in fact this might be the prefered way
at least as a first step), or you can try implementing and testing it using some starting point code:
- ssh into your cs account
(if you have a Windows laptop, you need to install and use some software
to ssh. see: CS Lab help about remote access using ssh):
ssh you@lab.cs.swarthmore.edu
- Once ssh'ed in, copy over some starting point code into cs31/inclass/12
cd cs31/inclass
cp -r ~newhall/public/cs31/inclass/12 .
cd 12
ls
Makefile hello.c max.c
To run: ./max N M
example: ./max 10000 16
- There is already code in this file to get the command line arguments
and to initialize an array of N values to random long values.
- You should add all the pthread code to implement your parallel
max algorithm.
- Use the hello.c example to help you with pthread functions and syntax
(you can also use hello as an example to see thread exectution info from top.
Run ./hello 16 in one terminal and top -H in another to see.)
- look at the man pages for pthread functions:
man pthread_create
man pthread_join
man pthread_mutex_lock
- look at the weekly lab page for other pthread examples
- Before the end of class, share your joint solution with your team mates.
Here is one way to do this from the cs machine you are ssh'ed into:
% mail username1 < max.c
% mail username2 < max.c
% mail username3 < max.c
Another is to use scp:
scp max.c username1@cs.swarthmore.edu:.
# username1 needs to enter his/her password
Then team mates can mv max.c from her/his homedirectory into their
cs31/inclass/12 subdirectory after they copy this over from my
public directory.
Extentions
If you get your solution to this working and debugged, think about
a slightly different version of this problem that does two things:
- compute max in paralllel when the number of threads, M, does not
evenly divide the number of elements in the array, N.
- compute the number of times the max value occurs in the array (also
in parallel).
Your solution should only spawn off worker threads one time and only
join them when all parallel computation from both parts is done.