SlideShare a Scribd company logo
ARCHITECTURAL DEVELOPMENT
TRACKS
MULTIPLE–PROCESSOR TRACKS
 It can be either a shared-memory multiprocessor or a distributed-memory
multicomputer
Shared-memory track
 Single address space in the entire system
 The track started with C.mmp
NYU Ultrcomputer & Illinois Cedar
 They were developed with a single address space
 Both systems used multistage networks as a system interconnect
 Ultracomputer developed the combining network for fast synchronization among
multiple processors
 NYU developed by Allan Gottlieb in 1983
 The major achievements in Cedar project are in parallel compilers and
performance benchmarking experiments
 Illinois Cedar project was developed by David Kuck in 1987
 Cedar is a cluster-based shared memory multiprocessor
 The system consists of four clusters connected through two unidirectional
interconnection networks to a globally shared memory
Stanford Dash
 NUMA multiprocessor
 Distributed memories forming a global address space
 Cache coherence is enforced with distributed directories
Fujitsu VPP500
 222-processor system with a crossbar interconnect
 Shared memories are distributed to all processor nodes
KSR 1
 It’s a typical COMA model
 Kendall Square Research,1990
IBM RP3 & BBN Butterfly
 These are two large-scale multiprocessors
 Both use multistage networks but with different interstage connections
 RP3, the Research Parallel Processing Prototype, was a research vehicle for
exploring the hardware and software aspects of highly parallel computation.
 RP3 was a shared-memory machine that was designed to be scalable to 512
processors; a 64-processor machine was in operation from October 1988
through March 1991
 The BBN Butterfly was a massively parallel computer built by Bolt, Beranek
and Newman in the 1980s.
 Each machine had up to 512 CPUs, each with local memory, which could be
connected to allow every CPU access to every other CPU's memory, although
with a substantially greater latency (roughly 15:1) than for its own. The CPUs
were commodity microprocessors.
 The memory address space was shared.
Message-Passing Track
Cosmic Cube
 The Caltech Cosmic Cube was a parallel computer, developed by Charles
Seitz and Geoffrey from 1981 onward
 It leads the development of message-passing multicomputers
 It was an early attempt to capitalise on VLSI to speed up scientific
calculations at a reasonable cost
 Intel has produced a series of medium –grain hypercube computers(the iPSCs)
 The nCUBE 2 is also a hypercube configuration
 Paragon is the latest Intel system
 Mosaic and the MIT J-Machine are on the research track which are the two fine-grain
multicomputers
MULTIVECTOR & SIMD TRACKS
Multivector track
 These are traditional vector supercomputers
 The CDC 7600 was the first vector dual-processor system
 The Cray and Japanese supercomputers followed the register-to-register
architecture
 Cray 1 leads the multivector development in 1978
 The latest Cray/MPP is a massively parallel with distributed shared memory
 Its work as a back-end accelerator with Cray Y-MP Series
The SIMD Track
 The Illiac IV leads the construction of SIMD computers
 The Goodyear MPP, the AMT/DAP610, and the TMC/CM-2,are all SIMD
machines built with bit-slice PEs
 The CM-5 is a synchronized MIMD machine executing in a multiple-SIMD mode
 The word-wide PEs is used in :
 BSP was a shared-memory SIMD machine built with 16 processors
updating a group of 17 memory modules synchronously
 The GF11 was developed at the IBM Watson Laboratory for scientific
simulation research use
 The MasPar MP1 is the only medium-grain SIMD computer currently in
production use
Architectural Development Tracks
Architectural Development Tracks

More Related Content

What's hot

Planning in AI(Partial order planning)
Planning in AI(Partial order planning)Planning in AI(Partial order planning)
Planning in AI(Partial order planning)Vicky Tyagi
 
Physical organization of parallel platforms
Physical organization of parallel platformsPhysical organization of parallel platforms
Physical organization of parallel platformsSyed Zaid Irshad
 
Multiprocessor Architecture (Advanced computer architecture)
Multiprocessor Architecture  (Advanced computer architecture)Multiprocessor Architecture  (Advanced computer architecture)
Multiprocessor Architecture (Advanced computer architecture)vani261
 
Applications of paralleL processing
Applications of paralleL processingApplications of paralleL processing
Applications of paralleL processingPage Maker
 
system interconnect architectures in ACA
system interconnect architectures in ACAsystem interconnect architectures in ACA
system interconnect architectures in ACAPankaj Kumar Jain
 
file sharing semantics by Umar Danjuma Maiwada
file sharing semantics by Umar Danjuma Maiwada file sharing semantics by Umar Danjuma Maiwada
file sharing semantics by Umar Danjuma Maiwada umardanjumamaiwada
 
Distributed operating system(os)
Distributed operating system(os)Distributed operating system(os)
Distributed operating system(os)Dinesh Modak
 
message passing vs shared memory
message passing vs shared memorymessage passing vs shared memory
message passing vs shared memoryHamza Zahid
 
Distributed Computing system
Distributed Computing system Distributed Computing system
Distributed Computing system Sarvesh Meena
 
Feng’s classification
Feng’s classificationFeng’s classification
Feng’s classificationNarayan Kandel
 
Lecture 4 principles of parallel algorithm design updated
Lecture 4   principles of parallel algorithm design updatedLecture 4   principles of parallel algorithm design updated
Lecture 4 principles of parallel algorithm design updatedVajira Thambawita
 
Introduction to Distributed System
Introduction to Distributed SystemIntroduction to Distributed System
Introduction to Distributed SystemSunita Sahu
 
advanced computer architesture-conditions of parallelism
advanced computer architesture-conditions of parallelismadvanced computer architesture-conditions of parallelism
advanced computer architesture-conditions of parallelismPankaj Kumar Jain
 
Introduction to Parallel Computing
Introduction to Parallel ComputingIntroduction to Parallel Computing
Introduction to Parallel ComputingAkhila Prabhakaran
 
6 multiprogramming & time sharing
6 multiprogramming & time sharing6 multiprogramming & time sharing
6 multiprogramming & time sharingmyrajendra
 
Parallel computing and its applications
Parallel computing and its applicationsParallel computing and its applications
Parallel computing and its applicationsBurhan Ahmed
 
Data flow architecture
Data flow architectureData flow architecture
Data flow architectureSourav Routh
 

What's hot (20)

Planning in AI(Partial order planning)
Planning in AI(Partial order planning)Planning in AI(Partial order planning)
Planning in AI(Partial order planning)
 
Physical organization of parallel platforms
Physical organization of parallel platformsPhysical organization of parallel platforms
Physical organization of parallel platforms
 
Multiprocessor Architecture (Advanced computer architecture)
Multiprocessor Architecture  (Advanced computer architecture)Multiprocessor Architecture  (Advanced computer architecture)
Multiprocessor Architecture (Advanced computer architecture)
 
Applications of paralleL processing
Applications of paralleL processingApplications of paralleL processing
Applications of paralleL processing
 
system interconnect architectures in ACA
system interconnect architectures in ACAsystem interconnect architectures in ACA
system interconnect architectures in ACA
 
file sharing semantics by Umar Danjuma Maiwada
file sharing semantics by Umar Danjuma Maiwada file sharing semantics by Umar Danjuma Maiwada
file sharing semantics by Umar Danjuma Maiwada
 
Parallel Processing Concepts
Parallel Processing Concepts Parallel Processing Concepts
Parallel Processing Concepts
 
Parallel computing persentation
Parallel computing persentationParallel computing persentation
Parallel computing persentation
 
Parallel processing
Parallel processingParallel processing
Parallel processing
 
Distributed operating system(os)
Distributed operating system(os)Distributed operating system(os)
Distributed operating system(os)
 
message passing vs shared memory
message passing vs shared memorymessage passing vs shared memory
message passing vs shared memory
 
Distributed Computing system
Distributed Computing system Distributed Computing system
Distributed Computing system
 
Feng’s classification
Feng’s classificationFeng’s classification
Feng’s classification
 
Lecture 4 principles of parallel algorithm design updated
Lecture 4   principles of parallel algorithm design updatedLecture 4   principles of parallel algorithm design updated
Lecture 4 principles of parallel algorithm design updated
 
Introduction to Distributed System
Introduction to Distributed SystemIntroduction to Distributed System
Introduction to Distributed System
 
advanced computer architesture-conditions of parallelism
advanced computer architesture-conditions of parallelismadvanced computer architesture-conditions of parallelism
advanced computer architesture-conditions of parallelism
 
Introduction to Parallel Computing
Introduction to Parallel ComputingIntroduction to Parallel Computing
Introduction to Parallel Computing
 
6 multiprogramming & time sharing
6 multiprogramming & time sharing6 multiprogramming & time sharing
6 multiprogramming & time sharing
 
Parallel computing and its applications
Parallel computing and its applicationsParallel computing and its applications
Parallel computing and its applications
 
Data flow architecture
Data flow architectureData flow architecture
Data flow architecture
 

Similar to Architectural Development Tracks

Similar to Architectural Development Tracks (20)

Computer cluster
Computer clusterComputer cluster
Computer cluster
 
Computer cluster
Computer clusterComputer cluster
Computer cluster
 
Super computer
Super computerSuper computer
Super computer
 
Super computers
Super computersSuper computers
Super computers
 
Computer_Evolution_Ch2.pptx
Computer_Evolution_Ch2.pptxComputer_Evolution_Ch2.pptx
Computer_Evolution_Ch2.pptx
 
Computer_Clustering_Technologies
Computer_Clustering_TechnologiesComputer_Clustering_Technologies
Computer_Clustering_Technologies
 
Cpu architecture
Cpu architecture Cpu architecture
Cpu architecture
 
evolution research.pptx
evolution research.pptxevolution research.pptx
evolution research.pptx
 
Third generation computers (hardware and software)
Third generation computers (hardware and software)Third generation computers (hardware and software)
Third generation computers (hardware and software)
 
Paralle programming 2
Paralle programming 2Paralle programming 2
Paralle programming 2
 
Massively Parallel Architectures
Massively Parallel ArchitecturesMassively Parallel Architectures
Massively Parallel Architectures
 
MIcrokernel
MIcrokernelMIcrokernel
MIcrokernel
 
supercomputer
supercomputersupercomputer
supercomputer
 
Generation of computer
Generation of computerGeneration of computer
Generation of computer
 
Komputasi Awan
Komputasi AwanKomputasi Awan
Komputasi Awan
 
introduction.pdf
introduction.pdfintroduction.pdf
introduction.pdf
 
Concept & generation of computers
Concept & generation of computersConcept & generation of computers
Concept & generation of computers
 
TOPIC 1 LECTURE- DEVELOPMENT OF COMPUTERS.pdf
TOPIC 1 LECTURE- DEVELOPMENT OF COMPUTERS.pdfTOPIC 1 LECTURE- DEVELOPMENT OF COMPUTERS.pdf
TOPIC 1 LECTURE- DEVELOPMENT OF COMPUTERS.pdf
 
ECESLU Microprocessors lecture
ECESLU Microprocessors lecture ECESLU Microprocessors lecture
ECESLU Microprocessors lecture
 
Cluster computer
Cluster  computerCluster  computer
Cluster computer
 

Recently uploaded

A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfKamal Acharya
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
 
Explosives Industry manufacturing process.pdf
Explosives Industry manufacturing process.pdfExplosives Industry manufacturing process.pdf
Explosives Industry manufacturing process.pdf884710SadaqatAli
 
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdfA CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdfKamal Acharya
 
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptxCloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptxMd. Shahidul Islam Prodhan
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdfKamal Acharya
 
Danfoss NeoCharge Technology -A Revolution in 2024.pdf
Danfoss NeoCharge Technology -A Revolution in 2024.pdfDanfoss NeoCharge Technology -A Revolution in 2024.pdf
Danfoss NeoCharge Technology -A Revolution in 2024.pdfNurvisNavarroSanchez
 
İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopEmre Günaydın
 
Automobile Management System Project Report.pdf
Automobile Management System Project Report.pdfAutomobile Management System Project Report.pdf
Automobile Management System Project Report.pdfKamal Acharya
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-IVigneshvaranMech
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdfKamal Acharya
 
fundamentals of drawing and isometric and orthographic projection
fundamentals of drawing and isometric and orthographic projectionfundamentals of drawing and isometric and orthographic projection
fundamentals of drawing and isometric and orthographic projectionjeevanprasad8
 
Antenna efficency lecture course chapter 3.pdf
Antenna  efficency lecture course chapter 3.pdfAntenna  efficency lecture course chapter 3.pdf
Antenna efficency lecture course chapter 3.pdfAbrahamGadissa
 
Fruit shop management system project report.pdf
Fruit shop management system project report.pdfFruit shop management system project report.pdf
Fruit shop management system project report.pdfKamal Acharya
 
Halogenation process of chemical process industries
Halogenation process of chemical process industriesHalogenation process of chemical process industries
Halogenation process of chemical process industriesMuhammadTufail242431
 
Vaccine management system project report documentation..pdf
Vaccine management system project report documentation..pdfVaccine management system project report documentation..pdf
Vaccine management system project report documentation..pdfKamal Acharya
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationRobbie Edward Sayers
 
Scaling in conventional MOSFET for constant electric field and constant voltage
Scaling in conventional MOSFET for constant electric field and constant voltageScaling in conventional MOSFET for constant electric field and constant voltage
Scaling in conventional MOSFET for constant electric field and constant voltageRCC Institute of Information Technology
 
Introduction to Casting Processes in Manufacturing
Introduction to Casting Processes in ManufacturingIntroduction to Casting Processes in Manufacturing
Introduction to Casting Processes in Manufacturingssuser0811ec
 

Recently uploaded (20)

A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdf
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
 
Explosives Industry manufacturing process.pdf
Explosives Industry manufacturing process.pdfExplosives Industry manufacturing process.pdf
Explosives Industry manufacturing process.pdf
 
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdfA CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
 
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptxCloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
Danfoss NeoCharge Technology -A Revolution in 2024.pdf
Danfoss NeoCharge Technology -A Revolution in 2024.pdfDanfoss NeoCharge Technology -A Revolution in 2024.pdf
Danfoss NeoCharge Technology -A Revolution in 2024.pdf
 
İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering Workshop
 
Automobile Management System Project Report.pdf
Automobile Management System Project Report.pdfAutomobile Management System Project Report.pdf
Automobile Management System Project Report.pdf
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
 
fundamentals of drawing and isometric and orthographic projection
fundamentals of drawing and isometric and orthographic projectionfundamentals of drawing and isometric and orthographic projection
fundamentals of drawing and isometric and orthographic projection
 
Antenna efficency lecture course chapter 3.pdf
Antenna  efficency lecture course chapter 3.pdfAntenna  efficency lecture course chapter 3.pdf
Antenna efficency lecture course chapter 3.pdf
 
Fruit shop management system project report.pdf
Fruit shop management system project report.pdfFruit shop management system project report.pdf
Fruit shop management system project report.pdf
 
Halogenation process of chemical process industries
Halogenation process of chemical process industriesHalogenation process of chemical process industries
Halogenation process of chemical process industries
 
Vaccine management system project report documentation..pdf
Vaccine management system project report documentation..pdfVaccine management system project report documentation..pdf
Vaccine management system project report documentation..pdf
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
Scaling in conventional MOSFET for constant electric field and constant voltage
Scaling in conventional MOSFET for constant electric field and constant voltageScaling in conventional MOSFET for constant electric field and constant voltage
Scaling in conventional MOSFET for constant electric field and constant voltage
 
Introduction to Casting Processes in Manufacturing
Introduction to Casting Processes in ManufacturingIntroduction to Casting Processes in Manufacturing
Introduction to Casting Processes in Manufacturing
 

Architectural Development Tracks

  • 2. MULTIPLE–PROCESSOR TRACKS  It can be either a shared-memory multiprocessor or a distributed-memory multicomputer Shared-memory track  Single address space in the entire system  The track started with C.mmp
  • 3. NYU Ultrcomputer & Illinois Cedar  They were developed with a single address space  Both systems used multistage networks as a system interconnect  Ultracomputer developed the combining network for fast synchronization among multiple processors  NYU developed by Allan Gottlieb in 1983
  • 4.  The major achievements in Cedar project are in parallel compilers and performance benchmarking experiments  Illinois Cedar project was developed by David Kuck in 1987  Cedar is a cluster-based shared memory multiprocessor  The system consists of four clusters connected through two unidirectional interconnection networks to a globally shared memory
  • 5. Stanford Dash  NUMA multiprocessor  Distributed memories forming a global address space  Cache coherence is enforced with distributed directories
  • 6. Fujitsu VPP500  222-processor system with a crossbar interconnect  Shared memories are distributed to all processor nodes KSR 1  It’s a typical COMA model  Kendall Square Research,1990
  • 7. IBM RP3 & BBN Butterfly  These are two large-scale multiprocessors  Both use multistage networks but with different interstage connections  RP3, the Research Parallel Processing Prototype, was a research vehicle for exploring the hardware and software aspects of highly parallel computation.  RP3 was a shared-memory machine that was designed to be scalable to 512 processors; a 64-processor machine was in operation from October 1988 through March 1991
  • 8.  The BBN Butterfly was a massively parallel computer built by Bolt, Beranek and Newman in the 1980s.  Each machine had up to 512 CPUs, each with local memory, which could be connected to allow every CPU access to every other CPU's memory, although with a substantially greater latency (roughly 15:1) than for its own. The CPUs were commodity microprocessors.  The memory address space was shared.
  • 10. Cosmic Cube  The Caltech Cosmic Cube was a parallel computer, developed by Charles Seitz and Geoffrey from 1981 onward  It leads the development of message-passing multicomputers  It was an early attempt to capitalise on VLSI to speed up scientific calculations at a reasonable cost
  • 11.  Intel has produced a series of medium –grain hypercube computers(the iPSCs)  The nCUBE 2 is also a hypercube configuration  Paragon is the latest Intel system  Mosaic and the MIT J-Machine are on the research track which are the two fine-grain multicomputers
  • 12.
  • 13. MULTIVECTOR & SIMD TRACKS Multivector track  These are traditional vector supercomputers  The CDC 7600 was the first vector dual-processor system  The Cray and Japanese supercomputers followed the register-to-register architecture  Cray 1 leads the multivector development in 1978  The latest Cray/MPP is a massively parallel with distributed shared memory  Its work as a back-end accelerator with Cray Y-MP Series
  • 14.
  • 15.
  • 16. The SIMD Track  The Illiac IV leads the construction of SIMD computers  The Goodyear MPP, the AMT/DAP610, and the TMC/CM-2,are all SIMD machines built with bit-slice PEs  The CM-5 is a synchronized MIMD machine executing in a multiple-SIMD mode
  • 17.  The word-wide PEs is used in :  BSP was a shared-memory SIMD machine built with 16 processors updating a group of 17 memory modules synchronously  The GF11 was developed at the IBM Watson Laboratory for scientific simulation research use  The MasPar MP1 is the only medium-grain SIMD computer currently in production use