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

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MPI-I/O Makes extensive use of derived datatypes Allows non-contiguous memory and or disk data to be read/written with a single I/O call Can simplify programming and maintenance May allow for overlap of computation and I/O Collective I/O allows for performance optimization through marshaling Significant performance improvement is possible David Cronk 180
Recommended references MPI - The Complete Reference Volume 1, The MPI Core MPI - The Complete Reference Volume 2, The MPI Extensions USING MPI: Portable Parallel Programming with the Message-Passing Interface Using MPI-2: Advanced Features of the Message-Passing Interface David Cronk 181
Page 1 and 2:
An Introduction to Parallel Program
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Day 2 Course Outline (cont) Morning
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Day 1 Morning - Lecture Course Outl
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Parallel Processing What is paralle
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Parallel Processing David Cronk 9
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Parallel Processing Why parallel pr
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Parallel Programming Outline › Pr
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Parallel Programming Message Passin
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Data Distribution David Cronk 17
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Page 21 and 22:
What is MPI Introduction to MPI ›
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What is MPI A standard library spec
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Continuing to grow! What is MPI ›
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Getting Started with MPI MPI contai
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MPI_INIT (ierr) ierr: Integer error
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Basic Program Structure program mai
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MPI_COMM_RANK (comm, rank, ierr) co
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program main include ‘mpif.h’ i
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Message Passing Message passing is
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Message Passing Processes are speci
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MPI_STATUS Since a receive call onl
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Types of data parallel MPI Programs
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Peer/SPMD Example Compute the sum o
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Master/Slave Example Master code: c
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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 =
Page 129 and 130: Datatype Constructors MPI_TYPE_DUP
Page 131 and 132: Datatype Constructors (cont) MPI_TY
Page 133 and 134: EXAMPLE REAL a(100,100), B(100,100)
Page 139 and 140: MPI_TYPE_CREATE_STRUCT int i; char
Page 141 and 142: MPI_TYPE_CREATE_RESIZED Struct s1 {
Page 145 and 146: Datatype Constructors: Subarrays (1
Page 147 and 148: Datatype Constructors (cont) Derive
Page 149 and 150: int i; char c[100]; MPI_Aint disp[2
Page 151 and 152: TAKE A BREAK David Cronk 151
Page 153 and 154: Communicators and Groups Many MPI u
Page 155 and 156: Communicators and Groups(cont) P 2
Page 157 and 158: 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
Page 163 and 164: One Sided Communication Get Put Add
Page 165 and 166: One Sided Communication Data moveme
Page 167 and 168: Dynamic Process Management Spawning
Page 169 and 170: MPI-I/O Introduction › What is pa
Page 171 and 172: What is parallel I/O INTRODUCTION
Page 173 and 174: What is parallel I/O INTRODUCTION
Page 175 and 176: INTRODUCTION (cont) Integer dim par
Page 177 and 178: INTRODUCTION (cont) Why use paralle
Page 179: INTRODUCTION (cont) What is MPI-I/O
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Dr. David Cronk Innovative Computing Lab University of ... - It works!

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