The Problem: You are coding a graphics filter that process each of an image through a filter. Each pixel is defined a triplet of real numbers (R,G,B) each of which is between 0 and 255. The filtering algorithms need to work on real numbers in order to do their job. But examining the program you discover that they only need two digits of accuracy. Any additional digits is just overkill.

It cannot take decimal points as input. Please fix it.

Implementing matrix addition is pretty simple; see the program below. However, the given addition function matrix_add_double() does not run at full speed.  On the instructors computer, which has 16GB of RAM, the program below shows that the call to matrix_add_double takes 38571 ms, while another, better implementation achieves the same result in 3794.7ms, which is 10.2 times faster! Your job for this exercise is:          • to explain what in the Operating System and/or CPU and/or other part of the system makes the implementation              below go so slowly.          • to fix the code to achieve full speed. Hint: There are two reasons why the code runs slowly. The one reason is related to how virtual addresses get translated to physical addresses, the other reasons is related to another effect in the hardware. Only the performance for the matrix_add_double function() counts for your exam results. You can leave the other parts of the code untouched, but you may also change them.…

Implement the problem below in Python using mpi4py. Submit the code of your program and a brief report. The report should describe the design of your program, and demonstrate the results of running your program. n-body solver. Implement a parallel n-body solver with n = 10 particles. You may randomly generate the masses, initial velocities, and initial positions of all particles at the beginning. Compute the positions of all particles after 1 second. Compare the results by using 0.1s, 0.01s, and 0.001s as the time in each timestep, respectively.

Write a small piece of pseudo-code for generating a histogram H[L] for an intensity image I[YDIM][XDIM], where L is the total level of intensities of the image, H is the histogram array,  XDIM * YDIM are the size of the image, and I[i][j] is the intensity value of the pixel at location (i,j), with i = 1, …, YDIM, and j = 1,…, XDIM. You might choose to use a certain program language that you are familiar with to write the code. You don’t have to compile the code.

Write a program in C that, given two points on a two-dimensional graph, outputs a message (string) if the line that connects them is horizontal or vertical, or if the slope is positive or negative.What would you modify or adjust in your code if we move from a 2D cartesian system to a 3D dimensional cartesian system?You need to take into consideration if the system is 3D and therefore you need to ask the user to insert X, Y , and Z.

Find on the internet (or use a camera to take) three different types of images: an indoor scene, outdoor scenery, and a close-up scene of a single object. Write python code to implement an adaptive thresholding scheme to segment the images as best as you can and write a brief summary.

python  if we put a grid on the surface of Earth with a grid spacing of dx and dy in the longitude and latitude directions, respectively, the grid area (approximated as dx*dy) varies with latitude. Explain why that is.