Exercise files

What you should know

Learn parallel programming basics

Shared vs. distributed memory

Parallel computing architectures

Sequential vs. parallel computing

Thread vs. process

Concurrent vs. parallel execution

Global interpreter lock Python demo

Multiple threads Python demo

Multiple processes Python demo

Execution scheduling

Execution scheduling Python demo

Thread lifecycle

Daemon thread Python demo

Thread lifecycle Python demo

Data race

Data race Python demo

Mutual exclusion

Mutual exclusion Python demo

Reentrant lock

RLock Python demo

Try lock

Non-blocking acquire Python demo

Read-write lock Python demo

Read-write lock

Deadlock

Deadlock Python demo

Abandoned lock

Abandoned lock Python demo

Starvation Python demo

Starvation

Livelock

Livelock Python demo

Condition variable Python demo

Condition variable

Producer-consumer threads Python demo

Producer-consumer

Semaphore

Producer-consumer processes Python demo

Semaphore Python demo

Race condition Python demo

Race condition

Barrier

Barrier Python demo

Computational graph

Thread pool

Process pool Python demo

Thread pool Python demo

Future

Divide and conquer

Future Python demo

Divide and conquer Python demo

Speedup, latency, and throughput

Amdahl's law

Measure speedup

Measure speedup Python demo

Agglomeration

Communication

Mapping

Partitioning

Welcome to the challenges

Solution Matrix multiply in Python

Challenge Matrix multiply in Python

Challenge Merge sort in Python

Challenge Download images in Python

Solution Merge sort in Python

Solution Download images in Python

Next steps

Additional resources