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Heterogeneous Computing

Heterogeneous Computing. Instructor: Dr. Najeh Jisrawi Prepared by: Basim Al-Ajarmah Birzeit University Scientific Computing. Introduction . . Definition of Heterogeneity . . How to build heterogeneous computing system. . PVM Example of build HC system

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Heterogeneous Computing

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  1. Heterogeneous Computing Instructor: Dr. Najeh Jisrawi Prepared by: Basim Al-Ajarmah Birzeit University Scientific Computing

  2. Introduction . Definition of Heterogeneity. . How to build heterogeneous computing system. . PVM Example of build HC system . Heterogeneous computing advantages . Conclusion.

  3. Heterogeneity of • Architecture • Data format, • Computational speed, • Machine load, and • Network load,

  4. Heterogeneous system

  5. Architecture that include a wide range of architecture types such as 386/486 PC class machines, high-performance workstations, shared-memory multiprocessors.....

  6. Data format data sent from one computer may be unreadable on the receiving computer Computational speed supercomputer doesn't sit idle waiting for the next data come from the workstation or 486 PC before continuing its task,

  7. Machine load Networked computers may have several users on them running variety of tasks, which made the machine load vary dramatically Network load Time it takes the network to send all the massages over network it also varied.

  8. How to build heterogeneous computing system • Programming environment, • Task profiling and Analytical benchmarking, • Matching and Scheduling, • Interconnection requirements

  9. Programming environment Verity of tools that used to execute program over heterogeneous system like PVM, HeNCE, P4, Linda ….. Task profiling and Analytical benchmarking decomposing program into subtask, and determining the suite machine for each subtask.

  10. Matching and Scheduling decides the machine and when the subtask is to begin execution and So we need mathematical algorithms like OST Interconnection requirements network would require high bandwidth and low latency communication speed of the network will match the speed of the machines

  11. PVM Example • Grip all message routing in HC systems • Decomposing the application into subtasks • Automatically allocating them to the various machines. • This powerfully tools exist in every HC computer • It can convert data between two different architecture. • It can arrange task across a network of incompatible computer architectures

  12. Heterogeneous computing offers many advantages • Costs are very low. • Max the Performance by assigning each individual task to the appropriate architecture • The virtual computer resources can grow in stages and take advantage • Program development can be enhanced by using a familiar environment

  13. Conclusion • The heterogeneity idea is exists by default in networking system as in Figure 1 • There are different types of heterogeneity as architecture …. • To make parallel computing mechanism over heterogeneous system, you need to develop things as programming environment ….

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