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

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Jacobi Iteration ! Perform exchange IF (MOD(myrank,2) .EQ. 1) THEN CALL MPI_SEND (A(1,1), n, MPI_REAL, & myrank-1, tag, comm, ierr) IF (myrank .LT. Nprocs-1) THEN CALL MPI_SEND (A(1,m), n, MPI_REAL, & myrank+1, tag, comm, ierr) ENDIF CALL MPI_RECV (A(1,0), n, MPI_REAL, & myrank-1, tag, comm, status, ierr) IF (myrank .LT. Nprocs-1) THEN CALL MPI_RECV (A(1,m+1), n, MPI_REAL, & myrank+1, tag, comm, status, ierr) ENDIF ENDIF ELSE IF (myrank .GT. 0) THEN CALL MPI_RECV (A(1,0), n, MPI_REAL, & myrank-1, tag, comm, status, ierr) ENDIF IF (myrank .LT. nprocs-1) THEN CALL MPI_RECV (A(1,m+1), n, MPI_REAL, & myrank+1, tag, comm, status, ierr) ENDIF IF (myrank .GT. 0) THEN CALL MPI_SEND (A(1,1), n, MPI_REAL, & myrank-1, tag, comm, ierr) ENDIF IF (myrank .LT. nprocs-1) THEN CALL MPI_SEND (A(1,m), n, MPI_REAL, & myrank+1, tag, comm, ierr) ENDIF ENDIF David Cronk 56
Day 2 Course Outline (cont) Morning – Lecture Communication Modes Collective communication Afternoon – Lab Hands on exercises using various communication methods in MPI David Cronk 57
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 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
Page 53 and 54: Unsafe Communication Patterns send
Page 55: Jacobi Iteration Initializations .
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
Page 99 and 100: Collective Communication: Scatterv
Page 101 and 102: Collective Communication: Allgather
Page 103 and 104: Allgatherv int mycount; /* inited t
Page 105 and 106: 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
Page 121 and 122:
Collective Communication: Reduction
Page 123 and 124:
Collective Communication: Performan
Page 125 and 126:
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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Page 137 and 138:
Page 139 and 140:
MPI_TYPE_CREATE_STRUCT int i; char
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MPI_TYPE_CREATE_RESIZED Struct s1 {
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Page 145 and 146:
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
Page 153 and 154:
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
Page 159 and 160:
Course Outline (cont) Day 3 Morning
Page 161 and 162:
One Sided Communication By requirin
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One Sided Communication Get Put Add
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One Sided Communication Data moveme
Page 167 and 168:
Dynamic Process Management Spawning
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MPI-I/O Introduction › What is pa
Page 171 and 172:
What is parallel I/O INTRODUCTION
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What is parallel I/O INTRODUCTION
Page 175 and 176:
INTRODUCTION (cont) Integer dim par
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INTRODUCTION (cont) Why use paralle
Page 179 and 180:
INTRODUCTION (cont) What is MPI-I/O
Page 181 and 182:
Recommended references MPI - The Co
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