SlideShare a Scribd company logo
1 of 51
Marcirio Silveira Chaves [email_address] Tutorial on Parallel Computing and  Message Passing Model Part II - Day 4 ,[object Object],[object Object]
Introduction ,[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Sending Multiple Messages ,[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Sending Multiple Messages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Sending Multiple Messages ,[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Sending Multiple Messages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Sending Multiple Messages ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Buffering ,[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI icount = 0 do j = l, l+m-1 do i = k, k+n-1 icount = icount + 1 p(icount) = a(i,j) enddo enddo call MPI_Send(p, n*m, MPI_DOUBLE, dest, tag, MPI_COMM_WORLD, ierr)
Buffering ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Buffering ,[object Object],[object Object],June - 2009 LNEC-DHA-NTI icount = 0 do i = 1, m call  MPI_PACK (a(k,l+i-1), n, MPI_DOUBLE,  buffer , bufsize, & icount, MPI_COMM_WORLD, ierr) enddo call MPI_SEND( buffer , icount,  MPI_PACKED , dest, tag, MPI_COMM_WORLD, ierr)
Buffering ,[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI icount  = 0 do i = 1, m call  MPI_PACK (a(k,l+i-1), n, MPI_DOUBLE, buffer, bufsize, icount , MPI_COMM_WORLD, ierr) enddo call MPI_SEND(buffer,  icount , MPI_PACKED, dest, tag, MPI_COMM_WORLD, ierr)
Buffering ,[object Object],[object Object],June - 2009 LNEC-DHA-NTI icount = 0 do i = 1, m call  MPI_PACK (a(k,l+i-1), n, MPI_DOUBLE, buffer, bufsize, icount, MPI_COMM_WORLD, ierr) enddo call MPI_SEND(buffer, icount, MPI_PACKED, dest, tag, MPI_COMM_WORLD, ierr)
Buffering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Buffering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI ,[object Object]
Derived Datatypes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Derived Datatypes ,[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Derived Datatypes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Derived Datatypes ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI ,[object Object],[object Object]
Derived Datatypes ,[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI call MPI_TYPE_VECTOR( m ,  n ,  nn ,  MPI_DOUBLE ,  my_mpi_type , ierr)  call  MPI_TYPE_COMMIT ( my_mpi_type , ierr)  call  MPI_SEND (a(k,l), 1,  my_mpi_type , dest, tag, MPI_COMM_WORLD, ierr)
Derived Datatypes ,[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Constructing Derived Datatypes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Constructing Derived Datatypes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Constructing Derived Datatypes June - 2009 LNEC-DHA-NTI
Constructing Derived Datatypes ,[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Obtaining Information About Your Derived Types ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
   Nano-Self Test - Derived Datatypes   http://ci-tutor.ncsa.uiuc.edu/content.php?cid=1309 Questions 1-3.
Collective Communications
Collective Communication ,[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication ,[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication ,[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication Routines ,[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication Routines ,[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication Routines ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
Collective Communication Routines June - 2009 LNEC-DHA-NTI
June - 2009 LNEC-DHA-NTI
Fortran - Collective Communications Example ,[object Object],[object Object],[object Object],[object Object],[object Object],June - 2009 LNEC-DHA-NTI
[object Object],June - 2009 LNEC-DHA-NTI
   Self Test - Collective Communications   http://ci-tutor.ncsa.uiuc.edu/content.php?cid=1310

More Related Content

What's hot

ADAPTIVE AUTOMATA FOR GRAMMAR BASED TEXT COMPRESSION
ADAPTIVE AUTOMATA FOR GRAMMAR BASED TEXT COMPRESSIONADAPTIVE AUTOMATA FOR GRAMMAR BASED TEXT COMPRESSION
ADAPTIVE AUTOMATA FOR GRAMMAR BASED TEXT COMPRESSIONcsandit
 
Pauls klein 2011-lm_paper(3)
Pauls klein 2011-lm_paper(3)Pauls klein 2011-lm_paper(3)
Pauls klein 2011-lm_paper(3)Red Over
 
Centrality-Based Network Coder Placement For Peer-To-Peer Content Distribution
Centrality-Based Network Coder Placement For Peer-To-Peer Content DistributionCentrality-Based Network Coder Placement For Peer-To-Peer Content Distribution
Centrality-Based Network Coder Placement For Peer-To-Peer Content DistributionIJCNCJournal
 
Packet Loss and Overlay Size Aware Broadcast in the Kademlia P2P System
Packet Loss and Overlay Size Aware Broadcast in the Kademlia P2P SystemPacket Loss and Overlay Size Aware Broadcast in the Kademlia P2P System
Packet Loss and Overlay Size Aware Broadcast in the Kademlia P2P SystemIDES Editor
 
International Journal of Computational Engineering Research(IJCER)
 International Journal of Computational Engineering Research(IJCER)  International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER) ijceronline
 
Wanhive vs Chord Distributed Hash Table
Wanhive vs Chord Distributed Hash TableWanhive vs Chord Distributed Hash Table
Wanhive vs Chord Distributed Hash TableAmit Kumar
 
Towards efficient content dissemination over DTN
Towards efficient content dissemination over DTNTowards efficient content dissemination over DTN
Towards efficient content dissemination over DTNAmir Krifa
 
Z02417321735
Z02417321735Z02417321735
Z02417321735IJMER
 
An Offline Hybrid IGP/MPLS Traffic Engineering Approach under LSP Constraints
An Offline Hybrid IGP/MPLS Traffic Engineering Approach under LSP ConstraintsAn Offline Hybrid IGP/MPLS Traffic Engineering Approach under LSP Constraints
An Offline Hybrid IGP/MPLS Traffic Engineering Approach under LSP ConstraintsEM Legacy
 
Scaling PageRank to 100 Billion Pages
Scaling PageRank to 100 Billion PagesScaling PageRank to 100 Billion Pages
Scaling PageRank to 100 Billion PagesSubhajit Sahu
 
Lab Seminar 2009 06 17 Description Based Ad Hoc Networks
Lab Seminar 2009 06 17  Description Based Ad Hoc NetworksLab Seminar 2009 06 17  Description Based Ad Hoc Networks
Lab Seminar 2009 06 17 Description Based Ad Hoc Networkstharindanv
 
Deep Learning for Machine Translation: a paradigm shift - Alberto Massidda - ...
Deep Learning for Machine Translation: a paradigm shift - Alberto Massidda - ...Deep Learning for Machine Translation: a paradigm shift - Alberto Massidda - ...
Deep Learning for Machine Translation: a paradigm shift - Alberto Massidda - ...Codemotion
 
Dictionary Based Compression
Dictionary Based CompressionDictionary Based Compression
Dictionary Based Compressionanithabalaprabhu
 
Command Transfer Protocol (CTP) for Distributed or Parallel Computation
Command Transfer Protocol (CTP) for Distributed or Parallel ComputationCommand Transfer Protocol (CTP) for Distributed or Parallel Computation
Command Transfer Protocol (CTP) for Distributed or Parallel Computationpaperpublications3
 

What's hot (20)

ADAPTIVE AUTOMATA FOR GRAMMAR BASED TEXT COMPRESSION
ADAPTIVE AUTOMATA FOR GRAMMAR BASED TEXT COMPRESSIONADAPTIVE AUTOMATA FOR GRAMMAR BASED TEXT COMPRESSION
ADAPTIVE AUTOMATA FOR GRAMMAR BASED TEXT COMPRESSION
 
Pauls klein 2011-lm_paper(3)
Pauls klein 2011-lm_paper(3)Pauls klein 2011-lm_paper(3)
Pauls klein 2011-lm_paper(3)
 
Shannon1948
Shannon1948Shannon1948
Shannon1948
 
Centrality-Based Network Coder Placement For Peer-To-Peer Content Distribution
Centrality-Based Network Coder Placement For Peer-To-Peer Content DistributionCentrality-Based Network Coder Placement For Peer-To-Peer Content Distribution
Centrality-Based Network Coder Placement For Peer-To-Peer Content Distribution
 
Chapter 4 pc
Chapter 4 pcChapter 4 pc
Chapter 4 pc
 
Packet Loss and Overlay Size Aware Broadcast in the Kademlia P2P System
Packet Loss and Overlay Size Aware Broadcast in the Kademlia P2P SystemPacket Loss and Overlay Size Aware Broadcast in the Kademlia P2P System
Packet Loss and Overlay Size Aware Broadcast in the Kademlia P2P System
 
International Journal of Computational Engineering Research(IJCER)
 International Journal of Computational Engineering Research(IJCER)  International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
 
Wanhive vs Chord Distributed Hash Table
Wanhive vs Chord Distributed Hash TableWanhive vs Chord Distributed Hash Table
Wanhive vs Chord Distributed Hash Table
 
Towards efficient content dissemination over DTN
Towards efficient content dissemination over DTNTowards efficient content dissemination over DTN
Towards efficient content dissemination over DTN
 
Z02417321735
Z02417321735Z02417321735
Z02417321735
 
An Offline Hybrid IGP/MPLS Traffic Engineering Approach under LSP Constraints
An Offline Hybrid IGP/MPLS Traffic Engineering Approach under LSP ConstraintsAn Offline Hybrid IGP/MPLS Traffic Engineering Approach under LSP Constraints
An Offline Hybrid IGP/MPLS Traffic Engineering Approach under LSP Constraints
 
Nd
NdNd
Nd
 
Week10 transport
Week10 transportWeek10 transport
Week10 transport
 
Scaling PageRank to 100 Billion Pages
Scaling PageRank to 100 Billion PagesScaling PageRank to 100 Billion Pages
Scaling PageRank to 100 Billion Pages
 
Lab Seminar 2009 06 17 Description Based Ad Hoc Networks
Lab Seminar 2009 06 17  Description Based Ad Hoc NetworksLab Seminar 2009 06 17  Description Based Ad Hoc Networks
Lab Seminar 2009 06 17 Description Based Ad Hoc Networks
 
O(1) DHT
O(1) DHTO(1) DHT
O(1) DHT
 
Deep Learning for Machine Translation: a paradigm shift - Alberto Massidda - ...
Deep Learning for Machine Translation: a paradigm shift - Alberto Massidda - ...Deep Learning for Machine Translation: a paradigm shift - Alberto Massidda - ...
Deep Learning for Machine Translation: a paradigm shift - Alberto Massidda - ...
 
Dictionary Based Compression
Dictionary Based CompressionDictionary Based Compression
Dictionary Based Compression
 
Command Transfer Protocol (CTP) for Distributed or Parallel Computation
Command Transfer Protocol (CTP) for Distributed or Parallel ComputationCommand Transfer Protocol (CTP) for Distributed or Parallel Computation
Command Transfer Protocol (CTP) for Distributed or Parallel Computation
 
Notes On Networking 1
Notes On Networking 1Notes On Networking 1
Notes On Networking 1
 

Viewers also liked

Osama-Ahmed-Hassan
Osama-Ahmed-HassanOsama-Ahmed-Hassan
Osama-Ahmed-Hassanosama ahmed
 
Preclusion of High and Low Pressure In Boiler by Using LABVIEW
Preclusion of High and Low Pressure In Boiler by Using LABVIEWPreclusion of High and Low Pressure In Boiler by Using LABVIEW
Preclusion of High and Low Pressure In Boiler by Using LABVIEWIJSRD
 
Evaluation the Effect of Machining Parameters on MRR of Mild Steel
Evaluation the Effect of Machining Parameters on MRR of Mild SteelEvaluation the Effect of Machining Parameters on MRR of Mild Steel
Evaluation the Effect of Machining Parameters on MRR of Mild SteelIJSRD
 
C.W. Moore resume December, 2015
C.W. Moore resume December, 2015C.W. Moore resume December, 2015
C.W. Moore resume December, 2015Chonda Walden
 
Especificaciones tarea 22
Especificaciones tarea 22Especificaciones tarea 22
Especificaciones tarea 22mikahakki44
 
Introduction to feature subset selection method
Introduction to feature subset selection methodIntroduction to feature subset selection method
Introduction to feature subset selection methodIJSRD
 
Publiser Tabs
Publiser TabsPubliser Tabs
Publiser Tabsjom1987
 
NESTLE WELLNESS ACCOMPLISHMENT REPORT 2016 BY: ERWIN PRAXIDES MAGISTRADO
NESTLE WELLNESS ACCOMPLISHMENT REPORT 2016 BY: ERWIN PRAXIDES MAGISTRADONESTLE WELLNESS ACCOMPLISHMENT REPORT 2016 BY: ERWIN PRAXIDES MAGISTRADO
NESTLE WELLNESS ACCOMPLISHMENT REPORT 2016 BY: ERWIN PRAXIDES MAGISTRADOerwin_magistrado
 

Viewers also liked (11)

Osama-Ahmed-Hassan
Osama-Ahmed-HassanOsama-Ahmed-Hassan
Osama-Ahmed-Hassan
 
Preclusion of High and Low Pressure In Boiler by Using LABVIEW
Preclusion of High and Low Pressure In Boiler by Using LABVIEWPreclusion of High and Low Pressure In Boiler by Using LABVIEW
Preclusion of High and Low Pressure In Boiler by Using LABVIEW
 
Evaluation the Effect of Machining Parameters on MRR of Mild Steel
Evaluation the Effect of Machining Parameters on MRR of Mild SteelEvaluation the Effect of Machining Parameters on MRR of Mild Steel
Evaluation the Effect of Machining Parameters on MRR of Mild Steel
 
C.W. Moore resume December, 2015
C.W. Moore resume December, 2015C.W. Moore resume December, 2015
C.W. Moore resume December, 2015
 
Especificaciones tarea 22
Especificaciones tarea 22Especificaciones tarea 22
Especificaciones tarea 22
 
Geometriske figurer
Geometriske figurerGeometriske figurer
Geometriske figurer
 
Rick resume 2016
Rick resume 2016Rick resume 2016
Rick resume 2016
 
Introduction to feature subset selection method
Introduction to feature subset selection methodIntroduction to feature subset selection method
Introduction to feature subset selection method
 
Publiser Tabs
Publiser TabsPubliser Tabs
Publiser Tabs
 
NESTLE WELLNESS ACCOMPLISHMENT REPORT 2016 BY: ERWIN PRAXIDES MAGISTRADO
NESTLE WELLNESS ACCOMPLISHMENT REPORT 2016 BY: ERWIN PRAXIDES MAGISTRADONESTLE WELLNESS ACCOMPLISHMENT REPORT 2016 BY: ERWIN PRAXIDES MAGISTRADO
NESTLE WELLNESS ACCOMPLISHMENT REPORT 2016 BY: ERWIN PRAXIDES MAGISTRADO
 
aaaQA_Dir. SteveCVQ216
aaaQA_Dir. SteveCVQ216aaaQA_Dir. SteveCVQ216
aaaQA_Dir. SteveCVQ216
 

Similar to Tutorial on Parallel Computing and Message Passing Model - C4

Tutorial on Parallel Computing and Message Passing Model - C3
Tutorial on Parallel Computing and Message Passing Model - C3Tutorial on Parallel Computing and Message Passing Model - C3
Tutorial on Parallel Computing and Message Passing Model - C3Marcirio Chaves
 
Intro to MPI
Intro to MPIIntro to MPI
Intro to MPIjbp4444
 
cs556-2nd-tutorial.pdf
cs556-2nd-tutorial.pdfcs556-2nd-tutorial.pdf
cs556-2nd-tutorial.pdfssuserada6a9
 
FEC & File Multicast
FEC & File MulticastFEC & File Multicast
FEC & File MulticastYoss Cohen
 
Elgamal signature for content distribution with network coding
Elgamal signature for content distribution with network codingElgamal signature for content distribution with network coding
Elgamal signature for content distribution with network codingijwmn
 
Compressive Sensing Based Simultaneous Data Compression and Convergent Encryp...
Compressive Sensing Based Simultaneous Data Compression and Convergent Encryp...Compressive Sensing Based Simultaneous Data Compression and Convergent Encryp...
Compressive Sensing Based Simultaneous Data Compression and Convergent Encryp...IJCSIS Research Publications
 
Characterization of communication.ppt
Characterization of communication.pptCharacterization of communication.ppt
Characterization of communication.pptAthira Ravindranathan
 
Application-oriented ping-pong benchmarking: how to assess the real communica...
Application-oriented ping-pong benchmarking: how to assess the real communica...Application-oriented ping-pong benchmarking: how to assess the real communica...
Application-oriented ping-pong benchmarking: how to assess the real communica...Trieu Nguyen
 
Message passing Programing and MPI.
Message passing Programing and MPI.Message passing Programing and MPI.
Message passing Programing and MPI.Munawar Hussain
 
cis97003
cis97003cis97003
cis97003perfj
 
Improving QoS of VANET using Network Coding
Improving QoS of VANET using Network CodingImproving QoS of VANET using Network Coding
Improving QoS of VANET using Network CodingDr. Amarjeet Singh
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)ijceronline
 
A High Dimensional Array Assignment Method For Parallel Computing Systems
A High Dimensional Array Assignment Method For Parallel Computing SystemsA High Dimensional Array Assignment Method For Parallel Computing Systems
A High Dimensional Array Assignment Method For Parallel Computing SystemsSabrina Green
 
Data Mining Un-Compressed Images from cloud with Clustering Compression techn...
Data Mining Un-Compressed Images from cloud with Clustering Compression techn...Data Mining Un-Compressed Images from cloud with Clustering Compression techn...
Data Mining Un-Compressed Images from cloud with Clustering Compression techn...ijaia
 
An Effective Privacy-Preserving Data Coding in Peer-To-Peer Network
An Effective Privacy-Preserving Data Coding in Peer-To-Peer NetworkAn Effective Privacy-Preserving Data Coding in Peer-To-Peer Network
An Effective Privacy-Preserving Data Coding in Peer-To-Peer NetworkIJCNCJournal
 
Comprehensive Performance Evaluation on Multiplication of Matrices using MPI
Comprehensive Performance Evaluation on Multiplication of Matrices using MPIComprehensive Performance Evaluation on Multiplication of Matrices using MPI
Comprehensive Performance Evaluation on Multiplication of Matrices using MPIijtsrd
 

Similar to Tutorial on Parallel Computing and Message Passing Model - C4 (20)

Tutorial on Parallel Computing and Message Passing Model - C3
Tutorial on Parallel Computing and Message Passing Model - C3Tutorial on Parallel Computing and Message Passing Model - C3
Tutorial on Parallel Computing and Message Passing Model - C3
 
Intro to MPI
Intro to MPIIntro to MPI
Intro to MPI
 
cs556-2nd-tutorial.pdf
cs556-2nd-tutorial.pdfcs556-2nd-tutorial.pdf
cs556-2nd-tutorial.pdf
 
FEC & File Multicast
FEC & File MulticastFEC & File Multicast
FEC & File Multicast
 
Elgamal signature for content distribution with network coding
Elgamal signature for content distribution with network codingElgamal signature for content distribution with network coding
Elgamal signature for content distribution with network coding
 
Compressive Sensing Based Simultaneous Data Compression and Convergent Encryp...
Compressive Sensing Based Simultaneous Data Compression and Convergent Encryp...Compressive Sensing Based Simultaneous Data Compression and Convergent Encryp...
Compressive Sensing Based Simultaneous Data Compression and Convergent Encryp...
 
Characterization of communication.ppt
Characterization of communication.pptCharacterization of communication.ppt
Characterization of communication.ppt
 
Application-oriented ping-pong benchmarking: how to assess the real communica...
Application-oriented ping-pong benchmarking: how to assess the real communica...Application-oriented ping-pong benchmarking: how to assess the real communica...
Application-oriented ping-pong benchmarking: how to assess the real communica...
 
Message passing Programing and MPI.
Message passing Programing and MPI.Message passing Programing and MPI.
Message passing Programing and MPI.
 
Thesis11
Thesis11Thesis11
Thesis11
 
cis97003
cis97003cis97003
cis97003
 
Mpi
Mpi Mpi
Mpi
 
Improving QoS of VANET using Network Coding
Improving QoS of VANET using Network CodingImproving QoS of VANET using Network Coding
Improving QoS of VANET using Network Coding
 
Introduction to MPI
Introduction to MPIIntroduction to MPI
Introduction to MPI
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
 
A High Dimensional Array Assignment Method For Parallel Computing Systems
A High Dimensional Array Assignment Method For Parallel Computing SystemsA High Dimensional Array Assignment Method For Parallel Computing Systems
A High Dimensional Array Assignment Method For Parallel Computing Systems
 
Data Mining Un-Compressed Images from cloud with Clustering Compression techn...
Data Mining Un-Compressed Images from cloud with Clustering Compression techn...Data Mining Un-Compressed Images from cloud with Clustering Compression techn...
Data Mining Un-Compressed Images from cloud with Clustering Compression techn...
 
An Effective Privacy-Preserving Data Coding in Peer-To-Peer Network
An Effective Privacy-Preserving Data Coding in Peer-To-Peer NetworkAn Effective Privacy-Preserving Data Coding in Peer-To-Peer Network
An Effective Privacy-Preserving Data Coding in Peer-To-Peer Network
 
Comprehensive Performance Evaluation on Multiplication of Matrices using MPI
Comprehensive Performance Evaluation on Multiplication of Matrices using MPIComprehensive Performance Evaluation on Multiplication of Matrices using MPI
Comprehensive Performance Evaluation on Multiplication of Matrices using MPI
 
My ppt hpc u4
My ppt hpc u4My ppt hpc u4
My ppt hpc u4
 

More from Marcirio Chaves

A Look at Risks in IT Projects: A Case Study during the Merger Period in the ...
A Look at Risks in IT Projects: A Case Study during the Merger Period in the ...A Look at Risks in IT Projects: A Case Study during the Merger Period in the ...
A Look at Risks in IT Projects: A Case Study during the Merger Period in the ...Marcirio Chaves
 
Lessons Learned Model for Projects Supported by Web 2.0 Tools: a Mixed Method...
Lessons Learned Model for Projects Supported by Web 2.0 Tools: a Mixed Method...Lessons Learned Model for Projects Supported by Web 2.0 Tools: a Mixed Method...
Lessons Learned Model for Projects Supported by Web 2.0 Tools: a Mixed Method...Marcirio Chaves
 
Rethinking Lessons Learned in the PMBoK Process Groups: A Model based on Peop...
Rethinking Lessons Learned in the PMBoK Process Groups: A Model based on Peop...Rethinking Lessons Learned in the PMBoK Process Groups: A Model based on Peop...
Rethinking Lessons Learned in the PMBoK Process Groups: A Model based on Peop...Marcirio Chaves
 
Revisita e Análise dos Métodos para Captura de Lições Aprendidas: Uma Contrib...
Revisita e Análise dos Métodos para Captura de Lições Aprendidas: Uma Contrib...Revisita e Análise dos Métodos para Captura de Lições Aprendidas: Uma Contrib...
Revisita e Análise dos Métodos para Captura de Lições Aprendidas: Uma Contrib...Marcirio Chaves
 
A Identificação de Riscos Novos e Potencializados em Projetos de Tecnologia d...
A Identificação de Riscos Novos e Potencializados em Projetos de Tecnologia d...A Identificação de Riscos Novos e Potencializados em Projetos de Tecnologia d...
A Identificação de Riscos Novos e Potencializados em Projetos de Tecnologia d...Marcirio Chaves
 
WEB 2.0 TECHNOLOGIES TO SUPPORT LESSONS LEARNED IN PROJECT MANAGEMENT
WEB 2.0 TECHNOLOGIES TO SUPPORT LESSONS LEARNED IN PROJECT MANAGEMENTWEB 2.0 TECHNOLOGIES TO SUPPORT LESSONS LEARNED IN PROJECT MANAGEMENT
WEB 2.0 TECHNOLOGIES TO SUPPORT LESSONS LEARNED IN PROJECT MANAGEMENTMarcirio Chaves
 
A Fine-Grained Analysis of User-Generated Content to Support Decision Making
A Fine-Grained Analysis of User-Generated Content to Support Decision MakingA Fine-Grained Analysis of User-Generated Content to Support Decision Making
A Fine-Grained Analysis of User-Generated Content to Support Decision MakingMarcirio Chaves
 
A Multidomain and Multilingual Conceptual Data Model for Online Reviews Repre...
A Multidomain and Multilingual Conceptual Data Model for Online Reviews Repre...A Multidomain and Multilingual Conceptual Data Model for Online Reviews Repre...
A Multidomain and Multilingual Conceptual Data Model for Online Reviews Repre...Marcirio Chaves
 
Towards a Multilingual Ontology for Ontology-driven Content Mining in Social ...
Towards a Multilingual Ontology for Ontology-driven Content Mining in Social ...Towards a Multilingual Ontology for Ontology-driven Content Mining in Social ...
Towards a Multilingual Ontology for Ontology-driven Content Mining in Social ...Marcirio Chaves
 
Tutorial on Parallel Computing and Message Passing Model - C5
Tutorial on Parallel Computing and Message Passing Model - C5Tutorial on Parallel Computing and Message Passing Model - C5
Tutorial on Parallel Computing and Message Passing Model - C5Marcirio Chaves
 
Tutorial on Parallel Computing and Message Passing Model - C2
Tutorial on Parallel Computing and Message Passing Model - C2Tutorial on Parallel Computing and Message Passing Model - C2
Tutorial on Parallel Computing and Message Passing Model - C2Marcirio Chaves
 
Tutorial on Parallel Computing and Message Passing Model - C1
Tutorial on Parallel Computing and Message Passing Model - C1Tutorial on Parallel Computing and Message Passing Model - C1
Tutorial on Parallel Computing and Message Passing Model - C1Marcirio Chaves
 
Simpósio Brasileiro de Banco de Dados 2005
Simpósio Brasileiro de Banco de Dados 2005Simpósio Brasileiro de Banco de Dados 2005
Simpósio Brasileiro de Banco de Dados 2005Marcirio Chaves
 
defesa dissertação mestrado
defesa dissertação mestradodefesa dissertação mestrado
defesa dissertação mestradoMarcirio Chaves
 

More from Marcirio Chaves (15)

A Look at Risks in IT Projects: A Case Study during the Merger Period in the ...
A Look at Risks in IT Projects: A Case Study during the Merger Period in the ...A Look at Risks in IT Projects: A Case Study during the Merger Period in the ...
A Look at Risks in IT Projects: A Case Study during the Merger Period in the ...
 
Lessons Learned Model for Projects Supported by Web 2.0 Tools: a Mixed Method...
Lessons Learned Model for Projects Supported by Web 2.0 Tools: a Mixed Method...Lessons Learned Model for Projects Supported by Web 2.0 Tools: a Mixed Method...
Lessons Learned Model for Projects Supported by Web 2.0 Tools: a Mixed Method...
 
Rethinking Lessons Learned in the PMBoK Process Groups: A Model based on Peop...
Rethinking Lessons Learned in the PMBoK Process Groups: A Model based on Peop...Rethinking Lessons Learned in the PMBoK Process Groups: A Model based on Peop...
Rethinking Lessons Learned in the PMBoK Process Groups: A Model based on Peop...
 
Revisita e Análise dos Métodos para Captura de Lições Aprendidas: Uma Contrib...
Revisita e Análise dos Métodos para Captura de Lições Aprendidas: Uma Contrib...Revisita e Análise dos Métodos para Captura de Lições Aprendidas: Uma Contrib...
Revisita e Análise dos Métodos para Captura de Lições Aprendidas: Uma Contrib...
 
A Identificação de Riscos Novos e Potencializados em Projetos de Tecnologia d...
A Identificação de Riscos Novos e Potencializados em Projetos de Tecnologia d...A Identificação de Riscos Novos e Potencializados em Projetos de Tecnologia d...
A Identificação de Riscos Novos e Potencializados em Projetos de Tecnologia d...
 
WEB 2.0 TECHNOLOGIES TO SUPPORT LESSONS LEARNED IN PROJECT MANAGEMENT
WEB 2.0 TECHNOLOGIES TO SUPPORT LESSONS LEARNED IN PROJECT MANAGEMENTWEB 2.0 TECHNOLOGIES TO SUPPORT LESSONS LEARNED IN PROJECT MANAGEMENT
WEB 2.0 TECHNOLOGIES TO SUPPORT LESSONS LEARNED IN PROJECT MANAGEMENT
 
A Fine-Grained Analysis of User-Generated Content to Support Decision Making
A Fine-Grained Analysis of User-Generated Content to Support Decision MakingA Fine-Grained Analysis of User-Generated Content to Support Decision Making
A Fine-Grained Analysis of User-Generated Content to Support Decision Making
 
A Multidomain and Multilingual Conceptual Data Model for Online Reviews Repre...
A Multidomain and Multilingual Conceptual Data Model for Online Reviews Repre...A Multidomain and Multilingual Conceptual Data Model for Online Reviews Repre...
A Multidomain and Multilingual Conceptual Data Model for Online Reviews Repre...
 
Towards a Multilingual Ontology for Ontology-driven Content Mining in Social ...
Towards a Multilingual Ontology for Ontology-driven Content Mining in Social ...Towards a Multilingual Ontology for Ontology-driven Content Mining in Social ...
Towards a Multilingual Ontology for Ontology-driven Content Mining in Social ...
 
Phd Marcirio Chaves
Phd Marcirio ChavesPhd Marcirio Chaves
Phd Marcirio Chaves
 
Tutorial on Parallel Computing and Message Passing Model - C5
Tutorial on Parallel Computing and Message Passing Model - C5Tutorial on Parallel Computing and Message Passing Model - C5
Tutorial on Parallel Computing and Message Passing Model - C5
 
Tutorial on Parallel Computing and Message Passing Model - C2
Tutorial on Parallel Computing and Message Passing Model - C2Tutorial on Parallel Computing and Message Passing Model - C2
Tutorial on Parallel Computing and Message Passing Model - C2
 
Tutorial on Parallel Computing and Message Passing Model - C1
Tutorial on Parallel Computing and Message Passing Model - C1Tutorial on Parallel Computing and Message Passing Model - C1
Tutorial on Parallel Computing and Message Passing Model - C1
 
Simpósio Brasileiro de Banco de Dados 2005
Simpósio Brasileiro de Banco de Dados 2005Simpósio Brasileiro de Banco de Dados 2005
Simpósio Brasileiro de Banco de Dados 2005
 
defesa dissertação mestrado
defesa dissertação mestradodefesa dissertação mestrado
defesa dissertação mestrado
 

Tutorial on Parallel Computing and Message Passing Model - C4

Editor's Notes

  1. You will have to learn other techniques for the heavily executed portions.