Michael Flynn proposed a taxonomy in 1966 to classify computer architectures based on the number of instruction streams and data streams. The four classifications are: SISD (single instruction, single data stream), SIMD (single instruction, multiple data streams), MISD (multiple instructions, single data stream), and MIMD (multiple instructions, multiple data streams). SISD corresponds to the traditional von Neumann architecture, SIMD is used for array processing, MIMD describes most modern parallel computers, and MISD has never been implemented.
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.
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.
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.
There are situations, called hazards, that prevent the next instruction in the instruction stream from executing during its designated cycle
There are three classes of hazards
Structural hazard
Data hazard
Branch hazard
This slide contain the description about the various technique related to parallel Processing(vector Processing and array processor), Arithmetic pipeline, Instruction Pipeline, SIMD processor, Attached array processor
Parallel computing is computing architecture paradigm ., in which processing required to solve a problem is done in more than one processor parallel way.
Pipelining is an speed up technique where multiple instructions are overlapped in execution on a processor. It is an important topic in Computer Architecture.
This slide try to relate the problem with real life scenario for easily understanding the concept and show the major inner mechanism.
Virtual Memory
• Copy-on-Write
• Page Replacement
• Allocation of Frames
• Thrashing
• Operating-System Examples
Background
Page Table When Some PagesAre Not in Main Memory
Steps in Handling a Page Fault
Distributed Operating System,Network OS and Middle-ware.??Abdul Aslam
Define Distributed Operating System, Network Operating System and Middle-ware? Differentiate between DOS, NOS and Middle-ware? Define the goals of each? ???
There are situations, called hazards, that prevent the next instruction in the instruction stream from executing during its designated cycle
There are three classes of hazards
Structural hazard
Data hazard
Branch hazard
This slide contain the description about the various technique related to parallel Processing(vector Processing and array processor), Arithmetic pipeline, Instruction Pipeline, SIMD processor, Attached array processor
Parallel computing is computing architecture paradigm ., in which processing required to solve a problem is done in more than one processor parallel way.
Pipelining is an speed up technique where multiple instructions are overlapped in execution on a processor. It is an important topic in Computer Architecture.
This slide try to relate the problem with real life scenario for easily understanding the concept and show the major inner mechanism.
Virtual Memory
• Copy-on-Write
• Page Replacement
• Allocation of Frames
• Thrashing
• Operating-System Examples
Background
Page Table When Some PagesAre Not in Main Memory
Steps in Handling a Page Fault
Distributed Operating System,Network OS and Middle-ware.??Abdul Aslam
Define Distributed Operating System, Network Operating System and Middle-ware? Differentiate between DOS, NOS and Middle-ware? Define the goals of each? ???
Interrupts is a signal from a device attached to a computer or from a program within the computer which causes the main program that operates the computer to stop and figure out what to do next.
Introduction to distributed systems
Architecture for Distributed System, Goals of Distributed system, Hardware and Software
concepts, Distributed Computing Model, Advantages & Disadvantage distributed system, Issues
in designing Distributed System,
The timing behavior of the OS must be predictable - services of the OS: Upper bound on the execution time!
2. OS must manage the timing and scheduling
OS possibly has to be aware of task deadlines;
(unless scheduling is done off-line).
3. The OS must be fast
Introduction to Advance Computer Architecturebabuece
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Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
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It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
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This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
1. Flynn’s Classification Of ComputerFlynn’s Classification Of Computer
ArchitecturesArchitectures
In 1966, Michael Flynn proposed a classification for
computer architectures based on the number of
instruction steams and data streams (Flynn’s
Taxonomy).
Flynn uses theFlynn uses the stream conceptstream concept for describing afor describing a
machine's structuremachine's structure
A stream simply means a sequence of items (data orA stream simply means a sequence of items (data or
instructions).instructions).
The classification of computer architectures based onThe classification of computer architectures based on
the number of instruction steams and data streamsthe number of instruction steams and data streams
(Flynn’s Taxonomy).(Flynn’s Taxonomy).
2. Flynn’s Taxonomy
SISD: Single instruction single data
– Classical von Neumann architecture
SIMD: Single instruction multiple data
MISD: Multiple instructions single data
– Non existent, just listed for completeness
MIMD: Multiple instructions multiple data
– Most common and general parallel machine
Flynn Classification OfFlynn Classification Of
Computer architecturesComputer architectures
3. SISDSISD
SISDSISD ((SSinge-inge-IInstruction stream,nstruction stream, SSinge-inge-DDataata
stream)stream)
SISD corresponds to the traditional mono-SISD corresponds to the traditional mono-
processor ( von Neumann computer). A singleprocessor ( von Neumann computer). A single
data stream is being processed by onedata stream is being processed by one
instruction streaminstruction stream OROR
A single-processor computer (uni-processor) inA single-processor computer (uni-processor) in
which a single stream of instructions iswhich a single stream of instructions is
generated from the program.generated from the program.
5. SIMDSIMD
SIMDSIMD ((SSingle-ingle-IInstruction stream,nstruction stream, MMultiple-ultiple-
DData streams)ata streams)
Each instruction is executed on a different setEach instruction is executed on a different set
of data by different processorsof data by different processors i.e multiplemultiple
processing units of the same type process onprocessing units of the same type process on
multiple-data streams.multiple-data streams.
This group is dedicated to array processingThis group is dedicated to array processing
machines.machines.
Sometimes, vector processors can also be seenSometimes, vector processors can also be seen
as a part of this group.as a part of this group.
7. MISDMISD
MISDMISD ((MMultiple-ultiple-IInstruction streams,nstruction streams, SSinge-inge-
DData stream)ata stream)
Each processor executes a different sequenceEach processor executes a different sequence
of instructions.of instructions.
In case of MISD computers, multipleIn case of MISD computers, multiple
processing units operate on one single-dataprocessing units operate on one single-data
stream .stream .
In practice, this kind of organization has neverIn practice, this kind of organization has never
been usedbeen used
9. MIMDMIMD
MIMDMIMD ((MMultiple-ultiple-IInstruction streams,nstruction streams,
MMultiple-ultiple-DData streams)ata streams)
Each processor has a separate program.
An instruction stream is generated from each
program.
Each instruction operates on different data.
This last machine type builds the group for theThis last machine type builds the group for the
traditional multi-processors. Severaltraditional multi-processors. Several
processing units operate on multiple-dataprocessing units operate on multiple-data
streams.streams.