+ All Categories
Home > Documents > © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara...

© 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara...

Date post: 13-Dec-2015
Category:
Upload: selina-panton
View: 217 times
Download: 1 times
Share this document with a friend
Popular Tags:
23
© 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website: http://fti.bl.ac.id Email: [email protected] Arsitektur Komputer Pertemuan – 15 Pemrosesan Paralel
Transcript
Page 1: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

© 2009 Fakultas Teknologi Informasi Universitas Budi LuhurJl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260Website: http://fti.bl.ac.id Email: [email protected]

Arsitektur KomputerPertemuan – 15

Pemrosesan Paralel

Page 2: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Next Generation Network

Page 3: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:
Page 4: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:
Page 5: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:
Page 6: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:
Page 7: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Multiple Processor Organization1. Single instruction, single data stream - SISD2. Single instruction, multiple data stream - SIMD3. Multiple instruction, single data stream - MISD4. Multiple instruction, multiple data stream- MIMD

SISD1. Single processor2. Single instruction stream3. Data stored in single memory4. Uni-processor

Page 8: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

SIMD1. Single machine instruction 2. Controls simultaneous execution3. Number of processing elements4. Lockstep basis5. Each processing element has associated data memory6. Each instruction executed on different set of data by different processors7. Vector and array processors

MISD1. Sequence of data2. Transmitted to set of processors3. Each processor executes different instruction sequence4. Never been implemented

Page 9: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

MIMD1. Set of processors2. Simultaneously execute different instruction sequences3. Different sets of data4. SMPs, clusters and NUMA systems

Page 10: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Taxonomy of Parallel Processor Architectures

Page 11: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan ParalelPemrosesan Paralel

MIMD - OverviewGeneral purpose processorsEach can process all instructions necessaryFurther classified by method of processor communication

Tightly Coupled - SMPProcessors share memoryCommunicate via that shared memorySymmetric Multiprocessor (SMP)

Share single memory or poolShared bus to access memoryMemory access time to given area of memory is approximately the same for each processor

Page 12: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Tightly Coupled - NUMANonuniform memory accessAccess times to different regions of memroy may differ

Loosely Coupled - ClustersCollection of independent uniprocessors or SMPsInterconnected to form a clusterCommunication via fixed path or network connections

Page 13: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Parallel Organizations - SISD

Page 14: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Parallel Organizations - SIMD

Page 15: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Parallel Organizations - MIMD Shared Memory

Page 16: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Parallel Organizations - MIMDDistributed Memory

Page 17: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Symmetric Multiprocessors A stand alone computer with the following characteristics

Two or more similar processors of comparable capacityProcessors share same memory and I/OProcessors are connected by a bus or other internal connectionMemory access time is approximately the same for each processorAll processors share access to I/O

Either through same channels or different channels giving paths to same devices

All processors can perform the same functions (hence symmetric)System controlled by integrated operating system

providing interaction between processors Interaction at job, task, file and data element levels

Page 18: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Multiprogramming and Multiprocessing

Page 19: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

SMP Advantages1. Performance: If some work can be done in parallel 2. Availability: Since all processors can perform the same functions,

failure of a single processor does not halt the system3. Incremental growth

User can enhance performance by adding additional processors

4. Scaling5. Vendors can offer range of products based on number of

processors

Page 20: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Block Diagram of Tightly Coupled Multiprocessor

Page 21: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Organization ClassificationTime shared or common busMultiport memoryCentral control unit

Time Shared BusSimplest formStructure and interface similar to single processor systemFollowing features provided

Addressing - distinguish modules on bus Arbitration - any module can be temporary masterTime sharing - if one module has the bus, others must wait and may have to suspend

Now have multiple processors as well as multiple I/O modules

Page 22: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Symmetric Multiprocessor Organization

Page 23: © 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website:  Email:

Pemrosesan Paralel

Time Share Bus - AdvantagesSimplicityFlexibilityReliability

Time Share Bus - DisadvantagePerformance limited by bus cycle timeEach processor should have local cache

Reduce number of bus accessesLeads to problems with cache coherence

Solved in hardware - see later


Recommended