Abstract

The paper considers the programming technology for hybrid computer systems, which contain reconfigurable and microprocessor computational nodes. The base of the programming technology for hybrid computer systems is the high-level programming language COLAMO with extensions, which allow descriptions of various types of parallel calculations such as structural, structural-procedural, multi-procedural and procedural forms of organization of calculations in a unified parallel-pipeline form. The suggested parallel-pipeline form allows modifications of forms of organization of calculations. Such modifications are performed automatically by the COLAMO language preprocessor, which takes into account current configuration of the hybrid computer system. Owing to the suggested technology, the program can be automatically adapted to the changed architecture or configuration of the hybrid computer system without any modifications of the source code made by the developer. Specially for this the source parallel program, developed in the programming language COLAMO, is transformed by the pre-processor into the canonical form. Then the pre-processor estimates the available computational resource, detects effective parameters of implementation of the program on the available resource and, if necessary, reduces the program performance to adapt it to the current configuration of the hybrid computer system. The technology provides two-way scaling: for increasing of the available computational resource (induction), and for reducing of the available computational resource (reduction), which provides resource independence of programming during implementation of the program, i.e. the developer is not “bound” to the available hardware resource of the computer system.

Highlights

  • The majority of real-world problems require combination of both sequential and parallel computational fragments within a single computational space for effective implementation of structural and procedural [1] fragments of calculations

  • The developer can create a single application using one and the same programming language for all hybrid computer system (HCS) nodes. This allows the high-level programming language COLAMO to be considered as a base for the technology of resource independent programming for both reconfigurable computational nodes and general-purpose nodes of the HCS

  • The information graph of the application, which contains fragments structurally implemented in reconfigurable computational nodes and procedurally implemented in microprocessor computational nodes, is passed to a synthesizer tool, which automatically distributes the fragments among reconfigurable and microprocessor computational nodes available in the current HCS configuration

Read more

Summary

Introduction

The majority of real-world problems require combination of both sequential and parallel computational fragments within a single computational space for effective implementation of structural and procedural [1] fragments of calculations. Symbiosis of nodes with different architecture in one computer system theoretically allows the growth of the computer system real performance owing to the opportunity of effective implementation of both structural and procedural fragments of calculations in the nodes with different architecture. Wide application of such computer systems for solving real-world problems is considerably limited by high complexity of their programming, as the effective use of architectural advantages of all computational nodes requires deep knowledge of various programming languages and development environments for designing computational nodes of various types, and skills of independent synchronization of calculations within a single space. In conclusion we summarize the main theoretical and experimental results of the developed hybrid computer systems programming technology

Programming of hybrid computer systems
The single parallel-pipeline form of COLAMO-applications developed for HCS
Scaling of calculations in HCS on the base of performance reduction
Mapping of parallel applications on HCS hardware resource
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.