Incorporating hardware and software features into a prediction model for processor-system throughput

Azam Beg, P. W.C. Prasad

    Research output: Contribution to journalArticlepeer-review


    The cycle-accurate simulation is a method for design space study of a processor system before it goes for the hardware implementation. Even though the simulations provide precise results about the system performance, the simulation times are exorbitantly high for practical systems. Therefore, an alternative is to use experimentally- developed models that tend to be faster than the aforementioned simulations. This is an extension to our previous work done in the area of neural network models for assessing the processor system throughput. In addition to hardware-related parameters, the current work includes multiple software-related parameters to better represent the dynamic behavior of programs. Consequently, the model provides higher accuracy estimates of a widely used performance metric (instructions per cycle) when tested with industry standard CPU benchmark programs. Potential uses of the model are compiler design and computer architecture research and teaching.

    Original languageEnglish
    Pages (from-to)169-179
    Number of pages11
    JournalComputer Applications in Engineering Education
    Issue number2
    Publication statusPublished - Mar 1 2016


    • behavior
    • design space study
    • neural model
    • processor performance prediction
    • processor throughput
    • program dynamic

    ASJC Scopus subject areas

    • General Computer Science
    • Education
    • General Engineering


    Dive into the research topics of 'Incorporating hardware and software features into a prediction model for processor-system throughput'. Together they form a unique fingerprint.

    Cite this