Point Domination Query
Hariharan Kumar
What is Point Domination Query?
Subset of computational geometry.
The algorithm gives the dominating points from a given set of points.
A point P( x1, y1) is said to be dominating another point Q( x2, y2) if and o
Question 1: Recurrences (16 points]
Recall that ﬁn] is mom} if ﬁn) E ()(ghin and gin} E ()(fﬁnji. Give a closed-form solution
in terms of (-l for the following recurrences. Also. state whether the recurrence is dominated at
the root: the leaves. or equall
#include <stdio.h}
I“ This is somewhat equivalent to a final variable in Java *I
const int MAX = 166;
void Read_array{int A, int n};
void Print_arrav{int A, int n};
void Circular_shitt(int a5.J int n, int shift);
I“ - - - - - - - - - - - - - - - - - - - -
shared int n; p: if Initialized
shared double xEn]; if Initialized
shared double sum; If Initialized to 0
shared double my_sum[p],
shared int Im_done[p];
private int my_rank = Get_my_rank():
my_sum[my_rank] = O:
Im_deneﬁny_rank] = False;
private int my_fi
#include <5tdio.h>
#include <5tdlib.h}
#include <5tring.h}
#include <mpi.h>
#define HAX_STRING 16666
f“ Largest element in array is 29 *I
#define HAI_ELEHENT 26
int Read_n[int my_rank, HPI_Comm comm};
void Get_orrav(int loc_orr, int n, int loc_n, int my_r
CSE633 Boids
Flocking Simulation: by Shaun Cosgrove
Boids
Boids is the phonetic
spelling of Birds when
spoken with a New York
accent
Flocking Simulation
Originally simulator for the flocking
behaviour of birds
Simple set of rules
Emergent Behaviour
Co
TEAM 26-A
1) Farida Kassamnath
2) Anup Rawka
Improving Quick Sort Algorithm Performance By Using
Parallel Algorithms.
Motivation:
Sorting is among the fundamental problems of computer
science. Sorting of different datasets is present in most
applications,
Parallel Implementation of
Deep Learning Using MPI
CSE633 Parallel Algorithms (Spring 2014)
Instructor: Prof. Russ Miller
Team #13: Tianle Ma
Email: tianlema@buffalo.edu
May 7, 2014
Content
Introduction to Deep Belief Network
Parallel Implementation Using
Solving Convex Hull Problem in
Parallel
Anil Kumar
Ahmed Shayer Andalib
CSE 633 Spring 2014
Convex Hull: Formal Definition
A set of planar points S is
convex if and only if for
every pair of points x, y
S, the line segment xy is
contained in S.
Let S b
Implementation of Parallel Quick Sort
using MPI
CSE 633: Parallel Algorithms
Dr. Russ Miller
Deepak Ravishankar Ramkumar
50097970
Recap of Quick Sort
Given a list of numbers, we want to sort the numbers in
increasing or decreasing order.
On a single proce
Matrix Inversion using Parallel
Gaussian Elimination
CSE 633 Parallel Algorithms (Spring 2014)
Aravindhan Thanigachalam
Email: athaniga@buffalo.edu
Instructor: Dr. Russ Miller
Outline
Problem
Example
Sequential Algorithm
Leveraging Parallelism
Row Oriente
PARALLELIZED
CONVOLUTION
Convolution
Convolution is a mathematical operation on two functions
A function derived from two given functions by integration that
expresses how the shape of one is modified by the other.
The Mathematical expression for basic
COMPUTING OVERLAPPING
LINE SEGMENTS
- A parallel approach by Vinoth Selvaraju
MOTIVATION
Speed is fun, isnt it?!
There are 2 main reasons to parallelize the code
solve a bigger problem
reach solution faster
I tried to parallelize a simple problem in c
Parallelizing The Chinese
Remainder Theorem
Professor Russ Miller
Bich Thi-Ngoc Vu
CSE 633 Parallel Algorithms
Wednesday April 23, 2014
CRT - Applications
Cryptography (e.g. decryption in RSA)
Computing
Coding Th
Implementation of Parallel
Radix Sort using MPI
CSE 633: Parallel Algorithms
Dr. Russ Miller
What is Radix Sort?
It is a non-comparison based sort, best suited for sorting
Integers
Comes under stable sorting algorithm
!
Two types of radix sort, LSD and MS
Parallel Implementation of Dijkstras
and Bellman Ford Algorithm
Team 26 B
Priyanka Ramanuja Kulkarni
Meenakshi Muthuraman
Aslesha Pansare
Nikhil Kataria
Single Source Shortest Path Problem
The Problem of finding the
shortest path from a source
vertex
Parallelizing LU Decomposition
CSE 633: PARALLEL ALGORITHMS
SPRING 2014
SAI SEKHAR REDDY TUMMALA
PRAVEEN KUMAR BANDARU
Problem Statement
Given a Square matrix A(n x n), decompose it into a Lower triangular
matrix (L) and an Upper triangular matrix (U).
A=