Introduction to Parallel Computing with Python

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An intro to parallel computing in python. There is example using mpi4py library. Mostly slide contains pictures, but hopefully the picture is describable.

Tecnologia Educação

Introduction to Parallel
Computing with Python
Doni Ramadhan

Pros &Cons of
MPI
Pros
• Works Concurrently
• Optimize the number
of core
• Tasks will be finished
faster
Cons
• Needs time to setup
• Depends on network
throughput
• It is harder to
program a parallel
program

Environment
Management
MPI_INIT
MPI_Comm_Size
MPI_Comm_Rank
MPI_Wtime
MPI_Finalize

Buffering
&
Blocking vs.
Non-Blocking
Communication

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Introduction to Parallel Computing with Python

1. Introduction to Parallel Computing with Python Doni Ramadhan

2. What is Parallel Computing?

3. What is MPI?

4. MPI Library for Python

5. Pros &Cons of MPI Pros • Works Concurrently • Optimize the number of core • Tasks will be finished faster Cons • Needs time to setup • Depends on network throughput • It is harder to program a parallel program

6. MPI Basics and Implementation

7. Environment Management MPI_INIT MPI_Comm_Size MPI_Comm_Rank MPI_Wtime MPI_Finalize

8. HelloWorld.py

9. Point-to-Point Communication

10. Point-to-Point Implementation

11. Buffering & Blocking vs. Non-Blocking Communication

12. Order and Fairness

13. Collective Communication

14. Broadcast

15. Scatter

16. Gather

17. Reduce Output: