Distributed Programming CA107 Topics in Computing Series - DCU

coleslawokraSoftware and s/w Development

Dec 1, 2013 (4 years and 7 months ago)


Distributed Programming

CA107 Topics in Computing Series

Martin Crane

Karl Podesta

The Basics…..

What is a Distributed System (DS)?

How does it differ from a Parallel Computer (MPP)?

differences become fuzzy…now called Supercomputers or
High Performance Computers (HPC)

Supercomputers and Supermodels:

both expensive

both hard to deal with/prone to tantrums

both look glamorous but...

Both spend lots of time doing tedious tasks for others:

mostly matrix
vector products for Supercomputers

being live mannequins for Supermodels

Why High Performance Computing?

Solve larger and larger scientific problems

advanced product design

economic analysis

weather prediction/ climate modelling

Store and process huge amount of data

data mining and knowledge discovery

image processing, multi
media information

internet information storage and search (eg

Different Supercomputers
(MPPs) in Your Neighbourhood

Single Instruction, Multiple Data (SIMD)

as seen on PlayStation 2

very useful for processing large arrays eg

a(i) = b(i) + c(i)*d(i)

{as are found in games}

Multiple Instruction, Multiple Data (MIMD)

as seen in Deep Blue

But these are dinosaurs

we want something
more flexible

Problems with Traditional
Supercomputer (ie MPP)


Very high starting cost ($10,000s per node)

Expensive software

High maintenance cost

Costly to upgrade

Vendor dependent

lots of companies have come and gone (datacube,
Connection Machines etc.)

So, real/poor people cannot do HPC!

PC Cluster: a poor

built from high
end PCs and high
speed comms

supports standard parallel programming based on
passing model (MPI language)

cheap (16 node cluster can cost less than $10k)

Cluster Diagram Here

DCU CA Cluster Resources

“John the Baptist” Cluster

built by Redbrick using old CA machines

24 individual 450MHz machines

connected by a fast ethernet switch

harbinger of better things….

“The one that is to come”……

24 SMP machines

each with 2 GHz

plus loadsa memory!

arrives about Xmas time, appropriately enough

What are the issues in HPC?

Communication Vs Computation

size/ nature of problem

interconnect speed/ processor speed

Fault tolerance

quality of hardware

nature of problem

Load balancing

nature of problem/ quality of programmer

even an easy problem can be made difficult &
slow by a bad implementation

Influence of Nature of Problem
on Speed

What is speed?

speed up

is better: Time on 1 node/ Time on n nodes

up and Problems

very good
: embarrassingly parallel problems

fair to middling
: regular and synchronous problems

a bit of cross
talk between nodes

: irregular/ asynchronous problems

lots of cross
talk between nodes