Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Make your likes visible on Facebook?

Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.

No, thanks

Design, Implementation, and Evaluation of a Raspberry Pi Clu

No description
by

gladdys a

on 21 September 2013

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Design, Implementation, and Evaluation of a Raspberry Pi Clu

Image from:http://images.smh.com.au/2012/06/02/3343947/art-Raspberry-20Pi-20-20with-20raspberries-420x0.jpg
Affordable
Model A: $25
Model B: $35
Works like other computers
Small
Design, Implementation, and Evaluation of a Raspberry Pi Cluster Using Scientific Application
Main Objective:
To design, implement and evaluate a Raspberry Pi cluster using a scientific application.
Specific Objectives:
1. To build a Raspberry Pi cluster; and
2. To compare the performance of the Raspberry Pi cluster with the performance of a desktop computer cluster.
Objectives
Methodology
1. Cluster Setup
32 Raspberry Pis
Raspbian
Message Passing Interface (MPI)
32 Desktop Computers
Linux
Message Passing Interface (MPI)
Image from:http://regmedia.co.uk/2013/05/20/32_way_raspberry_pi_cluster.jpg
Image from:http://www.zdnet.com/raspberry-pi-meets-lego-in-supercomputer-like-cluster-photos-7000004209/
Raspberry Pi
Computer

2. Testing
Number of nodes
2, 4, 8, 16, and 32 nodes
Image Processing Algorithm
Image Binarization (Simple)
Hough Line Transform (Complex)
3. Cluster Evaluation
Performance Analysis tools in MPI Library
TAT = ST + STN + TPO + NTS + MT
Thank You!
Full transcript