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What is the purpose of the MPI_Init function?
What is the purpose of the MPI_Init function?
What is the purpose of the MPI_Comm_size function?
What is the purpose of the MPI_Comm_size function?
What is the purpose of the MPI_Comm_rank function?
What is the purpose of the MPI_Comm_rank function?
What is the purpose of the MPI_Finalize function?
What is the purpose of the MPI_Finalize function?
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What is the purpose of the MPI_Send function?
What is the purpose of the MPI_Send function?
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What is the purpose of the MPI_Get_count function?
What is the purpose of the MPI_Get_count function?
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What is the purpose of the MPI_Recv function?
What is the purpose of the MPI_Recv function?
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What happens if the next message received does not match the reception parameters?
What happens if the next message received does not match the reception parameters?
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What does the 'datatype' parameter in MPI_Send specify?
What does the 'datatype' parameter in MPI_Send specify?
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What is the difference between the Send and Ssend functions?
What is the difference between the Send and Ssend functions?
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What is required for a message communication to be successful?
What is required for a message communication to be successful?
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What does the 'status' parameter in MPI_Recv return?
What does the 'status' parameter in MPI_Recv return?
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What is the purpose of collectives?
What is the purpose of collectives?
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What happens when using the Ssend function?
What happens when using the Ssend function?
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What is the purpose of the MPI_Datatype?
What is the purpose of the MPI_Datatype?
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What happens if the receiver does not have room to receive the sent message?
What happens if the receiver does not have room to receive the sent message?
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What is the primary purpose of the MPI_Barrier function?
What is the primary purpose of the MPI_Barrier function?
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Which MPI function is used for sending messages to everyone, including oneself?
Which MPI function is used for sending messages to everyone, including oneself?
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What is the purpose of the sendbuf parameter in the MPI_Reduce function?
What is the purpose of the sendbuf parameter in the MPI_Reduce function?
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What is the role of the root process in MPI_Bcast?
What is the role of the root process in MPI_Bcast?
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What is the purpose of the count parameter in the MPI_Reduce function?
What is the purpose of the count parameter in the MPI_Reduce function?
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What is the MPI_Op parameter used for in the MPI_Reduce function?
What is the MPI_Op parameter used for in the MPI_Reduce function?
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What is the primary difference between MPI_Bcast and MPI_Reduce?
What is the primary difference between MPI_Bcast and MPI_Reduce?
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What is the purpose of the comm parameter in MPI functions?
What is the purpose of the comm parameter in MPI functions?
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What is the purpose of the 'tag' parameter in MPI_Send?
What is the purpose of the 'tag' parameter in MPI_Send?
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What is the primary purpose of the MPI_Init function?
What is the primary purpose of the MPI_Init function?
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How do you compile an MPI program?
How do you compile an MPI program?
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What is the purpose of the 'rank' value in MPI?
What is the purpose of the 'rank' value in MPI?
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What is the purpose of the 'comm' parameter in MPI_Send?
What is the purpose of the 'comm' parameter in MPI_Send?
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What is the purpose of the 'count' parameter in MPI_Recv?
What is the purpose of the 'count' parameter in MPI_Recv?
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What is required for a point-to-point communication to be successful?
What is required for a point-to-point communication to be successful?
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How do you execute an MPI program with 4 processes?
How do you execute an MPI program with 4 processes?
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What does the MPI_Get_count function return?
What does the MPI_Get_count function return?
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What is the main difference between the Send and Ssend functions?
What is the main difference between the Send and Ssend functions?
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What is required for a successful message communication?
What is required for a successful message communication?
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What happens if the next message received does not match the reception parameters?
What happens if the next message received does not match the reception parameters?
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What is the purpose of MPI Datatypes?
What is the purpose of MPI Datatypes?
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What is the role of the Recv function?
What is the role of the Recv function?
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What is the primary purpose of collectives?
What is the primary purpose of collectives?
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What is the difference between synchronous and deferred sending?
What is the difference between synchronous and deferred sending?
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What is the primary advantage of parallel architectures?
What is the primary advantage of parallel architectures?
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Which library provides an open-source implementation of the Message Passing Interface standard?
Which library provides an open-source implementation of the Message Passing Interface standard?
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What is the purpose of the MPI_Comm_rank function?
What is the purpose of the MPI_Comm_rank function?
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What is the correct way to compile an MPI program?
What is the correct way to compile an MPI program?
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What is the role of the MPI_Init function?
What is the role of the MPI_Init function?
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What is the significance of the MPI_Comm_size function?
What is the significance of the MPI_Comm_size function?
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What is the correct way to execute an MPI program?
What is the correct way to execute an MPI program?
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What is the significance of the MPI_COMM_WORLD constant?
What is the significance of the MPI_COMM_WORLD constant?
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Study Notes
MPI DataTypes
-
MPI_Get_count
returns the number of elements received by the last message. - It takes three parameters:
status
,datatype
, andcount
.
Message Exchange
- Send function can have a synchronous or deferred sending behavior.
- Synchronous: blocks until the receiver receives the message.
- Deferred: returns at the sender, before the receiver receives the message.
- Recv function is always synchronous, blocking until it receives the message.
- Parameters: sender rank, tag, message data type, count, and comm group.
Synchronization Model
-
MPI_Ssend
function has the same behavior asSend
function, but it is always synchronous and blocking.
Sender/Receiver Symmetry
- For a message communication to be successful, there needs to be an alignment between the sending function and receiving function.
- Both functions must be symmetrical in sender and receiver.
- The message must be of the same type.
- The receiver must have room to receive the sent message.
Collectives
- Motivation: exchange messages between all processes, not just two.
- This group communication can be optimized by the implementation of the library and the communication hardware.
MPI Basic Example
-
MPI_Init
initializes the MPI environment. -
MPI_Comm_rank
returns the rank of the process. -
MPI_Comm_size
returns the total number of processes. -
MPI_Finalize
finalizes the MPI environment.
MPI Compilation and Execution
- Compile using the wrapper around the system compiler:
mpicc exemplo.c -o exemplo
. - Execute with 4 processes:
mpirun -n 4 ./exemplo
. - Option:
--use-hwthread-cpus
.
Point-to-Point Communication
- Communication happens by sending and receiving messages.
- Each process executes a different part of the same code, through "if"s.
- Each process is identified by its rank value.
- A process executes
Send
; another process executesRecv
.
MPI Send
-
MPI_Send
sends a message to another process. - Parameters: buffer, count, datatype, destination, tag, and comm.
- Buffer: memory pointer to data.
- Count: number of elements in the message.
- Datatype: type of data sent (MPI constant).
- Destination: rank of the destination process.
- Tag: tag (integer value) used to distinguish message channels.
- Comm: process group (general:
MPI_COMM_WORLD
).
MPI Receive
-
MPI_Recv
receives a message from another process. - Parameters: buffer, count, datatype, source, tag, comm, and status.
- Buffer: memory pointer to receive message.
- Count: maximum number of possible elements to receive.
- Datatype: type of data of the message.
- Source: rank of the sender process (general:
MPI_ANY_SOURCE
). - Tag: message tag (general:
MPI_ANY_TAG
). - Comm: set of processes in communication (general:
MPI_COMM_WORLD
). - Status: status of the result of the operation, to be consulted later.
MPI Barrier
-
MPI_Barrier
is a synchronization function that blocks all processes until all processes in the comm group call the function.
MPI Broadcast
-
MPI_Bcast
sends data from one process to all processes in the comm group. - Parameters: buffer, count, datatype, root, and comm.
- Buffer: memory address with data.
- Count: number of data to send.
- Datatype: type of data to send.
- Root: rank of the process that sends the data.
- Comm: communication group.
MPI Reduce
-
MPI_Reduce
collects a value from all processes, applies an aggregation function, and merges the result in the root process. - Parameters: sendbuf, recvbuf, count, datatype, op, root, and comm.
- Sendbuf: memory pointer to data to be collected in all processes.
- Recvbuf: memory pointer to the final aggregate value (in the root process).
- Count: number of items in the buffer.
- Datatype: type of data to send.
- Op: operation to apply to aggregate the results (e.g.,
MPI_SUM
). - Root: rank of the process which will have the only global result.
- Comm: communication group.
- Example:
MPI_Reduce(&x, &result, 1, MPI_INT, MPI_SUM, 0, MPI_COMM_WORLD)
.
MPI Basics
- MPI (Message Passing Interface) is a standard for parallel computing in high-performance computing.
- Example MPI program:
-
MPI_Init
initializes MPI. -
MPI_Comm_rank
gets the process rank. -
MPI_Comm_size
gets the total number of processes. -
printf
prints a message with rank and world. -
MPI_Finalize
terminates MPI.
-
MPI Compilation and Execution
- To compile an MPI program, use the
mpicc
wrapper:$ mpicc exemplo.c -o exemplo
. - To execute an MPI program with 4 processes, use:
$ mpirun -n 4 ./exemplo
. - Optional flag:
--use-hwthread-cpus
.
Point-to-Point Communication
- Communication happens by sending and receiving messages.
- Each process executes a different part of the same code using "if" statements.
- Each process is identified by its rank value.
- A process executes a "Send" function to send a message.
- Another process executes a "Recv" function to receive a message.
MPI Send
-
MPI_Send
function sends a message:-
buf
: memory pointer to data. -
count
: number of elements in the message. -
datatype
: type of data sent (MPI constant). -
dest
: rank of the destination process. -
tag
: tag (integer value) to distinguish message channels. -
comm
: process group (general:MPI_COMM_WORLD
).
-
MPI Receive
-
MPI_Recv
function receives a message:-
buf
: memory pointer to receive message. -
count
: maximum number of possible elements to receive. -
datatype
: type of data of the message. -
source
: rank of the sender process (general:MPI_ANY_SOURCE
). -
tag
: message tag (general:MPI_ANY_TAG
). -
comm
: set of processes in communication (general:MPI_COMM_WORLD
). -
status
: status of the result of the operation.
-
MPI DataTypes
- MPI datatypes define the type of data sent or received.
MPI Count
-
MPI_Get_count
function returns the number of elements received:-
status
: status of the receive operation. -
datatype
: type of data of the message. -
count
: number of elements received.
-
Synchronization Model
-
MPI_Send
can have synchronous or deferred sending behavior. -
MPI_Recv
is always synchronous and blocks until it receives a message. - If the next message received does not match the reception parameters, the program may block!
MPI Ssend
-
MPI_Ssend
function is similar toMPI_Send
but is always synchronous and blocking.
Sender/Receiver Symmetry
- For message communication to be successful, there needs to be an alignment between the sending function and receiving function.
- Both functions must be symmetrical in sender and receiver.
- The message must be of the same type.
- The receiver must have room to receive the sent message.
Collectives
- Motivation for collectives: exchange messages between all processes, not just two.
- Collective communication can be optimized by the library and communication hardware.
Message Passing Interface (MPI)
- MPI defines an API for processes to exchange data among themselves.
- Single Program Multiple Data (SPMD) approach is used.
Open MPI Library
- Open MPI is an open-source implementation of MPI for Windows, Mac, and Linux.
- Header file:
#include
.
MPI API Initialization
-
MPI_Init
initializes MPI and receives the address of the main function parameters or NULL. -
MPI_Finalize
terminates the MPI library in the process. -
MPI_Comm_rank
returns a process identifier within the process set. -
MPI_Comm_size
returns the size of the process set. -
MPI_COMM_WORLD
is a constant representing the set of all processes in an execution.
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Description
This quiz covers MPI data types and message exchange in parallel computing, including MPI_get_count and synchronization models.