compute nodes people eboot over a network and storage disk
in by now you may be wondering what is the most powerful
def of this computer out there well
that actually is an easy question to answer as it turns out
you think their website www dot
top 500 dot org bubblicious twice a year
a list of the 500 fastest supercomputers in their world
according to this site as of November 2011
jpn skate computer maintained its position atop of the top 500 list of the
world’s most powerful supercomputers
been four times a power for
as it nears competitor East all that the week in advance the she cute for
computational science
8 ICS in kobe japan the K computer chief an impressive
Standpoint 51 bad flops per second
On the leap back benchmark NES you heard it right
Ten-point 51 petaflops that standpoint 51
Thousand the median floating point operations per second
While well what secrets not so secret about
HPC architectures it baby pt this paper flops scale performance to
Parallelization
The question is how is it different however from finalization
In a collention of detector using a hot do framework for example
It’s important to remember marking a haboob like
Clocks to hockey picture it always thought so even though the coffee thing
Up a set of commodify processing cores
In may namely attached to a set of commodify discs been a stack of nodes
Forms Iraq
In a group of racks former clutch all connected via high-speed network to
Enable fest exchange of the formation
The glow shocking pictures have been designed for shared nothing
Massive parallel processing type publications where parallelization is
Achieved by partitioning
Baby that equally among the nodes
And by benefiting from the peaceful of data locality
With the data can be processed by the computer course
Call located in the same node or at least in the same rack
As the discs where the data is their locality tries to minimize data transfer
Across the nodes
I shed nothing at the picture assums that denotes can execute independently
Without much communication up until the end of next week you should
Enough feat for obligations conceded to be embarrass lean podell
HPC applications on the other hand but analyze a job by dividing the
Computation
Into tasks in distributing health
Across the nodes unlike in a shared nothing upbeat picture
Babe is very tightly coupled in that bottle path
Need to caution a single night execution
In exchanging formation repeating the spot then several times per second
It is important to note however that that is one peaceful common to both
Architectures
Big goal to me my the amount of time that computing no doubt
I don’t while waiting for the notes to finish
Even though they use very different approaches to achieve
The common goal initiate nothing architecture debate expectation into
Chunks of the things sites
Assuming that the tiny takes to process an equal sized chunk of data
Is this same for every node in HPC architecture however
The computation is divided into path that takes approximately the same amount
Of time to execute
In fact that banks may be the same or not
May process the same amount of data or not but it is assumed that each path
Takes approximately the same amount of time to execute
Each time I know dispense idling waiting for the notes to finish
Is referred to as an execution jeeter or noise
Any better believe that these cheaters cost a lot
In execution time computationally intensive applications running on HPC
Architectures
actually exhibit a very distinct lifecycle
cost fifteen of at least three phases
first during the day below the face the data required for the computation
if those were from storage into mainmemory residing on the notes
then during the computation facecomputing those sexy cute massive
amounts of operations and communicate with each other
to exchanging immediate value in secreton i seven operations
the cycle of computing synchronizationof operations in exchange of data among
the notes
actually repeat dozens of times a second
and you the whole computations finallyduring the date of the loading phase
computing nodes specialty results from aMarion today storage
did loading and offloading faces atypically very very small
in order for hours when compared toanything by computation cycle
which may last two weeks months or evenyears
HPC architectures have been optimized toreduce the computational time