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Day 1 Morning - Lecture Course Outline Parallel Processing Parallel Programming Introduction to MPI Getting started with MPI Afternoon – Lab Hands on exercises building and executing basic MPI programs David Cronk 2
Day 2 Course Outline (cont) Morning – Lecture Communication Modes Collective communication Afternoon – Lab Hands on exercises using various communication methods in MPI David Cronk 3
Page 1: An Introduction to Parallel Program
Page 5 and 6: Day 1 Morning - Lecture Course Outl
Page 7 and 8: Parallel Processing What is paralle
Page 9 and 10: Parallel Processing David Cronk 9
Page 11 and 12: Parallel Processing Why parallel pr
Page 13 and 14: Parallel Programming Outline › Pr
Page 15 and 16: Parallel Programming Message Passin
Page 17 and 18: Data Distribution David Cronk 17
Page 21 and 22: What is MPI Introduction to MPI ›
Page 23 and 24: What is MPI A standard library spec
Page 25 and 26: Continuing to grow! What is MPI ›
Page 29 and 30: Getting Started with MPI MPI contai
Page 31 and 32: MPI_INIT (ierr) ierr: Integer error
Page 33 and 34: Basic Program Structure program mai
Page 35 and 36: MPI_COMM_RANK (comm, rank, ierr) co
Page 37 and 38: program main include ‘mpif.h’ i
Page 39 and 40: Message Passing Message passing is
Page 41 and 42: Message Passing Processes are speci
Page 43 and 44: MPI_STATUS Since a receive call onl
Page 45 and 46: Types of data parallel MPI Programs
Page 47 and 48: Peer/SPMD Example Compute the sum o
Page 49 and 50: Master/Slave Example Master code: c
Page 51 and 52: Master/Slave Example Master code: c
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Unsafe Communication Patterns send
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Jacobi Iteration Initializations .
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Day 2 Course Outline (cont) Morning
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Point-to-Point Communication Modes
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MPI_ISEND (buf, cnt, dtype, dest, t
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MPI_WAIT (request, status, ierr) Re
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MPI_WAITALL (count, requests, statu
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MPI_TESTANY (count, requests, index
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Non-blocking Communication 100 cont
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Non-blocking communication J = 0 do
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Jacobi Iteration IF (myrank .EQ. 0)
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Point-to-Point Communication Modes:
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Point-to-Point Communication Modes:
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Ready Mode SLAVE MASTER while (!don
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TAKE A BREAK David Cronk 81
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Collective Communication OUTLINE
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Collective Communication Synchroniz
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Collective Communication: Bcast MPI
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Collective Communication: Gather A
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MPI_Gather for (i = 0; i < 20; i++)
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Collective Communication: Gatherv (
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Collective Communication: Gatherv (
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MPI_SCATTER IF (MYPE .EQ. ROOT) THE
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Collective Communication: Scatterv
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Collective Communication: Allgather
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Allgatherv int mycount; /* inited t
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Allgatherv p1 p2 p3 p4 MPI_Comm_ran
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Collective Communication: Alltoallv
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Example subroutine System_Change_in
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Example (cont) if (.not. rand_festk
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Collective Communication: Reduction
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MPI_REDUCE REAL a(n), b(n,m), c(m)
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MPI_ALLREDUCE REAL a(n), b(n,m), c(
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Collective Communication: Prefix Re
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Collective Communication: Reduction
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Collective Communication: Performan
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Derived Datatypes › Introduction
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Derived Datatypes (cont) Typemap =
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Datatype Constructors MPI_TYPE_DUP
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Datatype Constructors (cont) MPI_TY
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EXAMPLE REAL a(100,100), B(100,100)
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MPI_TYPE_CREATE_STRUCT int i; char
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MPI_TYPE_CREATE_RESIZED Struct s1 {
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Datatype Constructors: Subarrays (1
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Datatype Constructors (cont) Derive
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int i; char c[100]; MPI_Aint disp[2
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TAKE A BREAK David Cronk 151
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Communicators and Groups Many MPI u
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Communicators and Groups(cont) P 2
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Group Management You can access inf
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Course Outline (cont) Day 3 Morning
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One Sided Communication By requirin
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One Sided Communication Get Put Add
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One Sided Communication Data moveme
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Dynamic Process Management Spawning
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MPI-I/O Introduction › What is pa
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What is parallel I/O INTRODUCTION
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What is parallel I/O INTRODUCTION
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INTRODUCTION (cont) Integer dim par
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INTRODUCTION (cont) Why use paralle
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INTRODUCTION (cont) What is MPI-I/O
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Recommended references MPI - The Co
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