Dr. David Cronk Innovative Computing Lab University of ... - It works!

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Master/Slave Example Do some computation for each of N elements in a large array. The amount of computation depends on the value of each element. Main Call MPI_INIT (ierr) comm = MPI_COMM_WORLD Call MPI_COMM_RANK (comm, rank, ierr) Call MPI_COMM_SIZE (comm, size, ierr) stride = N/(10*(size-1)) If (rank .eq. 0) call master () Else call slave() Endif Call MPI_FINALIZE (ierr) David Cronk 48
Master/Slave Example Master code: current = 1 DO I = 1, size-1 call MPI_SEND (info[current], stride &, MPI_INTEGER, I, 2, comm, ierr) current = current + stride ENDDO Do I = 1, 9*(size-1) call MPI_RECV (tmp, 0, MPI_BYTE, & MPI_ANY_SOURCE, 3, comm, status,ierr) source = status(MPI_SOURCE) call MPI_SEND (info[current], stride , & MPI_INTEGER, & source, 2, comm, ierr) current = current + stride enddo Do I = 1, size-1 call MPI_SEND (info, 0, MPI_INTEGER, & I, 4, comm, ierr) Enddo David Cronk 49
Page 1 and 2: An Introduction to Parallel Program
Page 3 and 4: Day 2 Course Outline (cont) Morning
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: Peer/SPMD Example Compute the sum o
Page 51 and 52: Master/Slave Example Master code: c
Page 53 and 54: Unsafe Communication Patterns send
Page 55 and 56: Jacobi Iteration Initializations .
Page 57 and 58: Day 2 Course Outline (cont) Morning
Page 59 and 60: Point-to-Point Communication Modes
Page 61 and 62: MPI_ISEND (buf, cnt, dtype, dest, t
Page 63 and 64: MPI_WAIT (request, status, ierr) Re
Page 65 and 66: MPI_WAITALL (count, requests, statu
Page 67 and 68: MPI_TESTANY (count, requests, index
Page 69 and 70: Non-blocking Communication 100 cont
Page 71 and 72: Non-blocking communication J = 0 do
Page 73 and 74: Jacobi Iteration IF (myrank .EQ. 0)
Page 75 and 76: Point-to-Point Communication Modes:
Page 77 and 78: Point-to-Point Communication Modes:
Page 79 and 80: Ready Mode SLAVE MASTER while (!don
Page 81 and 82: TAKE A BREAK David Cronk 81
Page 83 and 84: Collective Communication OUTLINE
Page 85 and 86: Collective Communication Synchroniz
Page 87 and 88: Collective Communication: Bcast MPI
Page 89 and 90: Collective Communication: Gather A
Page 91 and 92: MPI_Gather for (i = 0; i < 20; i++)
Page 93 and 94: Collective Communication: Gatherv (
Page 95 and 96: Collective Communication: Gatherv (
Page 97 and 98: 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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