chapter 6 parallel sorting algorithm sorting parallel sorting bubble sort odd-even (transposition)...

Chapter 6 Parallel Sorting Algorithm

• Sorting• Parallel Sorting• Bubble Sort• Odd-Even (Transposition) Sort• Parallel Odd-Even Transposition Sort• Related Functions

Sorting

• Arrange elements of a list into certain order • Make data become easier to access • Speed up other operations such as searching • Many sorting algorithms with different time and space

complexities

Parallel Sorting

Design methodology • Based on an existing sequential sort algorithm

–Try to utilize all resources available

–Possible to turn a poor sequential algorithm into a reasonable parallel algorithm (from O(n2) to O(n))

• Completely new approach

–New algorithm from scratch

–Harder to develop

–Sometimes yield better solution

Potential speedup• O(nlogn) optimal for any sequential sorting algorithm without using

special properties of the numbers• Optimal parallel time complexity O(nlogn/n ) = O(logn)

Bubble Sort

• One of the straight-forward sorting methods

–Cycles through the list

–Compares consecutive elements and swaps them if necessary

–Stops when no more out of order pair • Slow & inefficient • Average performance is O(n2)

Example: 6 5 3 1 8 7 2 4

Bubble Sort

for(int i=0; i<n; i++) {

for(int j=0; j<n-1; j++) {

if(array[j]>array[j+1]) {

int temp = array[j+1];

array[j+1] = array[j];

array[j] = temp;

}

}

}

Example: 6 5 3 1 8 7 2 4

Odd-Even (Transposition) Sort

• Variation of bubble sort.• Operates in two alternating phases, even phase and odd

phase.

Even phase

Even-indexed items compare and exchange with their right neighbor.

Odd phase

Odd-indexed items exchange numbers with their right neighbor.


for (int i = 0; i < n; i++) {

if (i % 2 == 1) { // odd phase

for (int j = 2; j < n; j += 2) {

if (a[j] < a[j-1])

swap (a[j-1], a[j]);

}

}

else { //even phase

for (int j = 1; j < n; j += 2) {

if (a[j] < a[j-1])

swap (a[j-1], a[j]);

}

}

}


Sorting n = 8 elements, using the odd-even transposition sort algorithm.

6 5 3 1 8 7 2 4

Parallel Odd-Even Transposition Sort

• Operates in two alternating phases, even phase and odd phase

• Even phase

Even-numbered processes exchange numbers with their right neighbor.

• Odd phase

Odd-numbered processes exchange numbers with their right neighbor.

Parallel Odd-Even Transposition

Parallel Odd-Even Transposition Sort

MPI_Comm_rank(MPI_COMM_WORLD, &mypid);

MPI_Comm_size(MPI_COMM_WORLD, &nprocs);

for (int i = 0; i < nprocs; i++) {

if (i % 2 == 1) { // odd phase

if (mypid % 2 == 1)

compare_and_exchange_min(mypid+1);

else

compare_and_exchange_max(mypid-1);

}

else { //even phase

if (mypid % 2 == 0)

compare_and_exchange_min(mypid+1);

else

compare_and_exchange_max(mypid-1);

}

}

Parallel Odd-Even Transposition (n>>p)

MPI_Scatter

• MPI_Scatter is a collective routine that is very similar to MPI_Bcast

• A root processor sending data to all processors in a communicator

• MPI_Bcast sends the same piece of data to all processes

• MPI_Scatter sends chunks of an array to different processors

MPI_Scatter

• MPI_Bcast takes a single element at the root processor and copies it to all other processors

• MPI_Scatter takes an array of elements and distributes the elements in the order of the processor rank

MPI_Scatter

• Its prototypeMPI_Scatter(void* send_data, int send_count, MPI_Datatype send_datatype, void*

recv_data, int recv_count, MPI_Datatype recv_datatype, int root, MPI_Comm communicator)

• send_data: an array of data on the root processor• send_count and send_datatype: how many elements of

a MPI Datatype will be sent to each processor• recv_data: a buffer of data that can hold recv_count

elements• root: root processor• communicator

MPI_Gather

• The inverse of MPI_Scatter• Takes elements from many processors and gathers

them to one single processor• The elements are ordered by the rank of the processors

from which they were received• Used in parallel sorting and searching

MPI_Gather

• Its prototypeMPI_Gather(void* send_data, int send_count, MPI_Datatype send_datatype, void*

recv_data, int recv_count, MPI_Datatype recv_datatype, int root, MPI_Comm communicator)

• Only the root processors needs to have a valid receive buffer

• All other calling processors can pass NULL for recv_data• recv_count is the count of elements received per

processors, not the total summation of counts from all processors

Example 1

#include "mpi.h"

#include <stdio.h>

int main (int argc, char **argv)

{

int size, rank;

int recvbuf[4];

int sendbuf[16]={1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16};

MPI_Init(&argc,&argv);

MPI_Comm_rank(MPI_COMM_WORLD, &rank);

MPI_Comm_size(MPI_COMM_WORLD, &size);

MPI_Scatter(sendbuf,4,MPI_INT,recvbuf,4,MPI_INT,0,MPI_COMM_WORLD);

printf("Processor %d gets elements: %d %d %d %d\n",rank,recvbuf[0],

recvbuf[1],recvbuf[2],recvbuf[3]);

MPI_Finalize();

}

Example 1

Processor 0 gets elements: 1 2 3 4




Example 2

#include "mpi.h"

#include <stdio.h>

int main (int argc, char **argv)

{

int size, rank;

int sendbuf[4];

int recvbuf[16];

MPI_Init(&argc,&argv);

MPI_Comm_rank(MPI_COMM_WORLD, &rank);

MPI_Comm_size(MPI_COMM_WORLD, &size);

int i;

for (i =0; i < 4; i++){

sendbuf[i]= 4*rank + i+1;

}

Example 2

MPI_Gather(sendbuf,4,MPI_INT,recvbuf,4,MPI_INT,0,MPI_COMM_WORLD);

if (rank == 0){

int j;

for(j = 0; j < 16; j++){

printf("The %d th element is %d\n", j, recvbuf[j]);

}

}

MPI_Finalize();

}

Example 2

The 0 th element is 1
















chapter 6 parallel sorting algorithm sorting parallel sorting bubble sort odd-even (transposition)...

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