oppg3.txt

-Why concurrency?
To model parallellism in the real world
Fully utelize the processor
To allow more than one processor to solva a problem
Can increase efficiency 

-Makes programming simple by:
creating an easier idea to code transformation.
Having processes running at the same time

-Makes programming harder by:
Harder to debug
Managing shared resorces

-What are the differences between processes, threads, green threads, and fibers?
Processes controlled by the OS
Threads native threads, controlled by the OS
Green threads are like threads except they are controlled by the application rather than the OS. 
Fibers light weight threads

-Which one of these do pthread_create() (C/POSIX), threading.Thread() (Python), go (Go) create?
Python: green threads
C/POSIX: thread
Go: psudo green threads/fibers

-How does pythons Global Interpreter Lock (GIL) influence the way a python Thread behaves?
Prevents several native threads can excecute at once. It makes sure the memory is safe, but stops multithreaded programs from functioning optimally.
Only one thread is executed at the same time.

-With this in mind: What is the workaround for the GIL (Hint: it's another module)? How do you then share resources (variables/data)?
The multiprocessing module. Creates subprosseces instead of threads, which do the same things as threads, but are not threads.

-What does func GOMAXPROCS(n int) int change?
Limits the amount of OS threads that can execute user-level go code simultaneously.