In this presentation, you will learn the fundamentals of Multi Processors and Multi Computers in only a few minutes.
Meanings, features, attributes, applications, and examples of multiprocessors and multi computers.
So, let's get started. If you enjoy this and find the information beneficial, please like and share it with your friends.
Caches in multiprocessing environment introduce the Cache Coherence problem.
When multiple processors maintain locally cached copies of a unique shared memory location, any local modification of the location can result in a globally inconsistent view of memory. This is called Cache Coherence Problem.
A brief discussion about its solutions are given.
In this presentation, you will learn the fundamentals of Multi Processors and Multi Computers in only a few minutes.
Meanings, features, attributes, applications, and examples of multiprocessors and multi computers.
So, let's get started. If you enjoy this and find the information beneficial, please like and share it with your friends.
Caches in multiprocessing environment introduce the Cache Coherence problem.
When multiple processors maintain locally cached copies of a unique shared memory location, any local modification of the location can result in a globally inconsistent view of memory. This is called Cache Coherence Problem.
A brief discussion about its solutions are given.
Multiprocessor system is an interconnection of two or more CPUs with memory and input-output equipment
The components that forms multiprocessor are CPUs IOPs connected to input –output devices , and memory unit that may be partitioned into a number of separate modules.
Multiprocessor are classified as multiple instruction stream, multiple data stream (MIMD) system.
Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has been employed for many years, mainly in high-performance computing, but interest in it has grown lately due to the physical constraints preventing frequency scaling. As power consumption (and consequently heat generation) by computers has become a concern in recent years, parallel computing has become the dominant paradigm in computer architecture, mainly in the form of multi-core processors.
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Multiprocessor system is an interconnection of two or more CPUs with memory and input-output equipment
The components that forms multiprocessor are CPUs IOPs connected to input –output devices , and memory unit that may be partitioned into a number of separate modules.
Multiprocessor are classified as multiple instruction stream, multiple data stream (MIMD) system.
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3. DEFINATION:
Cache coherence is the discipline that ensures that changes in the
values of shared operands are propagated throughout the system
in a timely fashion.
4. EXPLANATION:
shared memory multiprocessor
separate cache memory for each processor
possible to have many copies of any one instruction operand
one copy in the main memory and one in each cache memory.
When one copy of an operand is changed, the other copies of the
operand must be changed also.
5. THERE ARE THREE DISTINCT LEVELS
OF CACHE COHERENCE:
every write operation appears to occur instantaneously
all processors see exactly the same sequence of changes of values for each
separate operand
different processors may see an operation and assume different sequences of
values; this is considered to be a noncoherent behavior
7. TWO TYPES OF SOLUTIONS:
Software-based
Hardware base
8. SOFTWARE-BASED
Compiler based or with run-time system support.
With or without hardware assist.
Tough problem because perfect information is needed in the
presence of memory aliasing and explicit parallelism.
9. TWO TYPES OF HARDWARE_BASE
SOLUTION:
Snooping
Directory_Based
10. SNOOPING:
used with low-end MPs
few processors
centralized memory
bus-based
distributed implementation: responsibility for
maintaining coherence lies with each cache
12. SNOOPING IMPLEMENTATION
A distributed coherency protocol
coherency state associated with each cache block
each snoop maintains coherency for its own cache
13. CONTINUE…….
HOW THE BUS IS USED?
broadcast medium
entire coherency operation is atomic wrt other processors
keep-the-bus protocol: master holds the bus until the entire operation
has completed
14. CONTINUE…….
SPLIT-TRANSACTION BUSES
request & response are different phases
state value that indicates that an operation is in progress
do not initiate another operation for a cache block that
has one in progress
16. AN EXAMPLE SNOOPING PROTOCOL:
INVALIDATION-BASED COHERENCY
PROTOCOL EACH CACHE BLOCK IS IN ONE
OF THREE STATES
shared:
clean in all caches & up-to-date in memory
block can be read by any processor
exclusive:
dirty in exactly one cache
only that processor can write to it (it’s the owner of the block)
invalid:
block contains no valid data
17. DIRECTORY-BASED
• used with higher-end MPs
more processors
distributed memory
multi-path interconnect
centralized for each address: responsibility for
maintaining coherence lies with the directory for each
address
18. DIRECTORY IMPLEMENTATION
Distributed memory machine
processor-memory pairs are connected via a multi-path interconnection
network
point-to-point communication
snooping with broadcasting is wasteful of the parallel communication
capability
each processor (or cluster of processors) has its own memory
a processor has fast access to its local memory & slower access to “remote”
memory located at other processors
NUMA (non-uniform memory access) machines
20. DIRECTORY IMPLEMENTATION
• directory tracks state of cache blocks
• shared:
at least 1 processor has the data cached & memory is up- to-date
block can be read by any processor
• exclusive:
1 processor (the owner) has the data cached & memory is stale
only that processor can write to it
• invalid:
no processor has the data cached & memory is up-to-date ctory tracks
state of cache blocks
21. CONTINUE…..
Directory blocks play different roles during a memory operation.
home node:
the memory location of the requested data
local node:
where the memory request initiated
remote node:
an alternate location for the data if this processor has requested &
cached it