Implementing Parallel Processing on Desktop Clusters


Following success in designing and building a 4-unit Raspberry Pi cluster, we scaled the design up to include 8 nodes. We then proceeded to design and build a desktop PC version utilizing 11 available desktop machines. This is being done to achieve penalization for processing information to achieve industrial and professional performance to commutate large, computational intensive information for Bergen Community College STEM to utilize.


Monday - Thursday from 9:00 a.m to 1:00 p.m in room S-243




Week 4

June, 20 2019

Last week we got Pelican HPC to run in all computers, and test stresses the supercomputer using the same program as last week and then compare the processing time of the supercomputer with a single computer and the results were not as expected.

we made both computers to count all the prime numbers from 1 to 1*10^6 and the difference in time processing between them was 2.38 with the supercomputer being faster. It was expected that the supercomputer was ten times as fast because it is 10 computers against one but those weren’t the results, now need to find the reason why is not working.

While looking at the problem we try to see the communication speed between the ethernet cables and found out that the computer nodes and the front end were communicating at a 70% efficiency which will reduce the processing time but won't really affect it as much to make so similar to the single computer.

We try to replicate the process but the front end wasn’t detecting the compute nodes.

Week 3

June, 20 2019

Today the Supercomputer Team decided to stress test our 10 cluster supercomputer compared to a single computer. We chose the program GNUOctave because it is optimized for long mathematical computation. Cesar and Leyki wrote a prime number calculator to count the number of prime numbers from 1 to 100000. We have also included a function to tell us the processing time the cpus took to complete the task. We have done the same process to the single computer. Unfortunately, the time it took to complete the task on both computers were identical and only apart by 1 second.

Week 2

May, 21 2019

Today Cesar and Leyki took 10 1TB portable hard drives and used Rufus to flash an operating system called PelicanHPC onto them. We have chosen PelicanHPC because it is an optimized version of Linux which is capable of efficient partitioning of data to send to the computational nodes and retrieving the partitions to display on the monitor in a fast way.

Once we installed the operating system on the hard drives, Cesar and Leyki plugged them into all the computers. For each computer, we turned it on, and pressed the esc key on the keyboard to enter the boot order menu. We changed the boot order to boot from network for the reason of having the computers turn on when one computer turns on, i.e. the front end computer.

When all the computers were running pelican HPC and were booting from the internal network, we wanted the front end to take control of the processing power of the other 10 computers. In order to do this, Cesar typed the command “pelican_setup” and the operating system searched for other computational nodes through the eth0 port which was connected to the ethernet switch and the ethernet switch held the ethernet cables to transport data from all the other computers. The operating system detected all 10 nodes and took control of their CPUs for processing.

Week 1

May, 20 2019

Our Project is to build a Supercomputer out of a desktop cluster. A supercomputer is a single computer that is connected to several other computers to partition a large computational problem to send a partition to each connected computer to compute and solve the job given and send the answer back to the sender. The main computer collects the data received and outputs the answer in a fraction of the time it would take a single computer to compute the same job.

For example: if a user wants to compute prime numbers from a range of 1 to 100,000; a single computer would take days to weeks to complete the computation. A supercomputer would partition the job so, if there are 10 computers connected, each computer would only have to compute 10,000 numbers each and it would compute the tasks 10 times as fast. In order to achieve this concept, Leyki and I (henceforth referred to as the Supercomputer Team) will take 11 computers and wire them to make them communicate with each other.

Today the Supercomputer Team has acquired 11 i5 HP PC computers, Ethernet Cables (to transport data to and from the connected computers), a gigabyte switch to allow the data from the ethernet cables to flow to other computers and the main computer, and portable hard drives to load an operating system from instead of the build in windows one. All the supplies were provided through the Bergen Community College classroom. The Supercomputer Team then lined up the computers in a row and connected all 10 computers to the Ethernet switch. Therefore, the team completed the hardware design of our supercomputer prototype.