This document discusses parallel processing and multiprocessing. It begins by explaining how processor performance is measured and how increasing clock frequency and instructions per cycle can improve performance. It then provides a taxonomy of parallel processor architectures including SISD, SIMD, MISD, and MIMD models. The MIMD model is further classified based on tightly-coupled and loosely-coupled systems. Symmetric multiprocessors (SMPs) and issues like cache coherence are discussed for tightly-coupled MIMD systems. Hardware and software solutions to cache coherence are also summarized.
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.
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.
MODULE III Parallel Processors and Memory Organization 15 Hours
Parallel Processors: Introduction to parallel processors, Concurrent access to memory and cache
coherency. Introduction to multicore architecture. Memory system design: semiconductor memory
technologies, memory organization. Memory interleaving, concept of hierarchical memory
organization, cache memory, cache size vs. block size, mapping functions, replacement
algorithms, write policies.
Case Study: Instruction sets of some common CPUs - Design of a simple hypothetical CPU- A
sequential Y86-64 design-Sun Ultra SPARC II pipeline structure
MODULE III Parallel Processors and Memory Organization 15 Hours
Parallel Processors: Introduction to parallel processors, Concurrent access to memory and cache
coherency. Introduction to multicore architecture. Memory system design: semiconductor memory
technologies, memory organization. Memory interleaving, concept of hierarchical memory
organization, cache memory, cache size vs. block size, mapping functions, replacement
algorithms, write policies.
Case Study: Instruction sets of some common CPUs - Design of a simple hypothetical CPU- A
sequential Y86-64 design-Sun Ultra SPARC II pipeline structure
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
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Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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2. Its All About Increasing Performance
• Processor performance can be measured by the
rate at which it executes instructions
MIPS rate = f * IPC (Millions of Instructions per Second)
— f is the processor clock frequency, in MHz
— IPC the is average Instructions Per Cycle
• Increase performance by
—increasing clock frequency and
—increasing instructions that complete during cycle
– May be reaching limit
+ Complexity
+ Power consumption
6. Multiple Processor Organization
• SISD - Single instruction, single data stream
• SIMD - Single instruction, multiple data stream
• MISD - Multiple instruction, single data stream
• MIMD - Multiple instruction, multiple data stream
7. SISD - Single Instruction, Single Data Stream
• Single processor
• Single instruction stream
• Data stored in single memory
• Uni-processor
Control Unit Processing Unit Memory Unit
8. SIMD - Single Instruction, Multiple Data Stream
• Single machine instruction
• Number of processing elements
• Each processing element has associated data memory
• Each instruction simultaneously executed on
different set of data by different processors
Typical Application - Vector and Array processors
9. MISD Multiple Instruction, Single Data Stream
• One sequence of data
• A set of processors
• Each processor executes different
instruction sequence
Not much practical application
10. MIMD - Multiple Instruction, Multiple Data Stream
• Set of processors
• Simultaneously execute different instruction sequences
• Different sets of data
— SMPs (Symmetric Multiprocessors)
— NUMA systems (Non-uniform Memory Access)
— Clusters (Groups of “partnering” computers)
Shared memory (SMP or NUMA) Distributed memory (Clusters)
11. MIMD - Overview
• General purpose processors
• Each can process all instructions
necessary
• Further classified by method of processor
communication & memory access
12. MIMD - Tightly Coupled
• Processors share memory
• Communicate via that shared memory
Symmetric Multiprocessor (SMP)
- Share single memory or pool
- Shared bus to access memory
- Memory access time to given area of memory is
approximately the same for each processor
Nonuniform memory access (NUMA)
- Access times to different regions of memory may differ
14. MIMD - Loosely Coupled
Clusters
• Collection of independent
uniprocessors
• Interconnected to form a cluster
• Communication via fixed path or network
connections
15. Symmetric Multiprocessors (SMP)
• A stand alone “computer” with the following
characteristics:
—Two or more similar processors of comparable
capacity
– All processors can perform the same functions (hence
symmetric)
—Processors share same memory and I/O access
– Memory access time is approximately the same for each
processor (time shared bus or multi-port memory)
—Processors are connected by a bus or other internal
connection
—System controlled by integrated operating system
– Providing interaction between processors
– Providing interaction at job, task, file and data element
levels
16. SMP Advantages
• Performance
— If some work can be done in parallel
• Availability
— Since all processors can perform the same
functions, failure of a single processor
does not halt the system
• Incremental growth
— User can enhance performance by adding
additional processors
• Scaling
— Vendors can offer range of products based
on number of processors
18. Time Shared Bus (vs Multiport memory)
• Simplest form
• Structure and interface similar to single
processor system
• Following features provided
—Addressing - distinguish modules on bus
—Arbitration - any module can be temporary master
—Time sharing - if one module has the bus, others must
wait and may have to suspend
19. Time Share Bus - Advantages
Advantages:
• Simplicity
• Flexibility
• Reliability
Disadvantages
• Performance limited by bus cycle time
• Each processor must have local cache
— Reduce number of bus accesses
• Leads to problems with cache coherence
21. Cache Coherence
• Problem - multiple copies of same data
in different caches
• Can result in an inconsistent view of
memory
—Write back policy can lead to inconsistency
—Write through can also give problems unless
caches monitor memory traffic
MESI Protocol (Modify - Exclusive - Shared - Invalid )
22. Software Solution to Cache Coherence
Compiler and operating system deal with
problem
• Overhead transferred to compile time
• Design complexity transferred from
hardware to software
— Analyze code to determine safe periods for
caching shared variables
— However, software tends to (must) make
conservative decisions
— Inefficient cache utilization
23. Hardware Solution to Cache Coherence
Cache coherence hardware protocols
• Dynamic recognition of potential
problems
• Run time solution
—More efficient use of cache
• Transparent to programmer / Compiler
Implemented with:
• Directory protocols
• Snoopy protocols
24. Directory & Snoopy Protocols
Directory Protocols
Effective in large scale systems with complex interconnection
schemes
• Collect and maintain information about copies of data in cache
— Directory stored in main memory
• Requests are checked against directory
— Appropriate transfers are performed
Creates central bottleneck
Snoopy Protocols
Suited to bus based multiprocessor
• Distribute cache coherence responsibility among cache
controllers
• Cache recognizes that a line is shared
• Updates announced to other caches
Increases bus traffic
25. Snoopy Protocols
• Write Update Protocol (Write Broadcast)
—Multiple readers and writers
—Updated word is distributed to all other processors
—Multiple readers, one writer
• Write Invalidate protocol (MESI)
—When a write is required, all other caches of the line
are invalidated
—Writing processor then has exclusive (cheap) access
until line is required by another processor
MESI Protocol - State of every line is marked as Modified,
Exclusive, Shared or Invalid
- two bits are included with each cache tag