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Grid Programming Environments. Topics. GrADS XIO MPICH-G2. GrADS – Grid Application Development Software. Internet, P2P, Grid Middleware – Large Scale Resource Sharing Grid application development GrADS supports. GrADS – Vision. Currently, development on top of existing infrastructure

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Topics
Topics

  • GrADS

  • XIO

  • MPICH-G2


Grads grid application development software
GrADS – Grid Application Development Software

  • Internet, P2P, Grid Middleware – Large Scale Resource Sharing

  • Grid application development

  • GrADS supports


Grads vision
GrADS – Vision

  • Currently, development on top of existing infrastructure

  • Useful applications, but too difficult

  • Must become easier to develop

  • Specify a program in high level language

  • Seamlessly access the Grid


Grads problems
GrADS – Problems

  • Insulate User from Grid complexity

  • Provide Execution Environment adapting Application to the Dynamically changing Grid



Grads program preparation system pps
GrADS – Program Preparation System (PPS)

  • Applications assembled as modules in high level language

  • Built on pre-existing component libraries

  • Express a computation in terms that make sense for expert in application domain


Grads program preparation system pps1
GrADS – Program Preparation System (PPS)

  • Modules bound together into:

    • Components

    • Libraries

    • Applications

  • With a coordination language


Grads program preparation system pps2
GrADS – Program Preparation System (PPS)

  • Creates annotated modules

  • Application is compiled with:

    • Software Components

    • GrADS Libraries

  • Configurable Object Program (COP)


Grads telescoping languages
GrADS – Telescoping Languages

  • Allow users to write applications in high level domain specific language

  • TeleGen Compiler reads domain specific library

  • Produces Optimizer that understands how to use the library


Grads telescoping languages1
GrADS – Telescoping Languages

  • Optimizer is compiler for a new language:

    • Base Language (e.g. C/C++)

    • Augmented functions specific to the domain

  • Language implemented as preprocessor



Grads execution environment
GrADS – Execution Environment

  • COP is delivered to Execution Environment

  • Determine Available Resources

  • Secure Subset for Application

  • Service Negotiator brokers Allocation/Scheduling

  • Dynamic Optimizer Tailors COP for good performance


Grads execution environment1
GrADS – Execution Environment

  • Real-Time Monitor tracks behavior of program, checks PC

  • On violation, monitor interrupts execution

  • Possible actions:

    • Invoke Dynamic Optimizer

    • Negotiate new set of resources

    • Invoke both Optimizer and negotiate new set of resources


Grads execution environment2
GrADS – Execution Environment

  • Dynamic Forecasts to reduce overhead of renegotiation


Xio globus extensible input output system
XIO – Globus eXtensible Input/Output system

  • What is XIO?

  • API able to present different I/O problems uniformly


Xio globus extensible input output system1
XIO – Globus eXtensible Input/Output system

  • Goal: Present a simple Open/Close/Read/Write (OCRW) interface for all byte stream I/O:

    • Local Disk

    • Electron Microscope

    • TCP/IP

    • Custom Protocols


Xio globus extensible input output system2
XIO – Globus eXtensible Input/Output system

  • Does not try to map every type of I/O to a single API

  • Does not hide all details of the underlying protocol



Xio globus extensible input output system4
XIO – Globus eXtensible Input/Output system

  • For XIO application to access a protocol, special Driver must be written

  • Application can then access protocol through OCRW Interface

  • Application may want to interact with underlying driver

    • Interaction is of course Driver specific


Mpich g2
MPICH-G2

  • Is a Grid-enabled version of MPI used in parallel computing

  • Low-level programming model, yet has sophisticated measures for:

    • Handling Heterogeneity

    • Modular Programs

    • Management of Latency

    • Representation of Global Operations


Mpi message passing interface
MPI – Message Passing Interface

  • Standard that defines library of routines to implement message-passing model

  • Point-to-point communication functions:

    • Send to initiate Data transfer

    • Receive to extract data from system data structures

    • Collective operations (broadcast, reductions) involving multiple processes


Mpi message passing interface1
MPI – Message Passing Interface

  • Underlying performance issues accessible to programmers


Mpich g21
MPICH-G2

  • Asynchronous operations used for Latency Management

  • Communicator Construct used to represent hierarchical structure of heterogeneous systems

  • Run MPI programs across multiple computers


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