• DocumentCode
    3717084
  • Title

    Generating ASIPs with reduced number of connections to the register-file

  • Author

    Yosi Ben Asher;Irina Lipov;Vladislav Tartakovsky;Dror Tiv

  • Author_Institution
    CS. University of Haifa, Israel
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    238
  • Lastpage
    245
  • Abstract
    We propose automatic synthesis of application specific instruction set processors (ASIPs). We use pipeline execution of multi-op machine-instructions, e.g., *(reg1*reg2) = (*reg3)+ (*reg4) (C-syntax) an instruction with three memory pipeline stages and two arithmetic stages. The problem is, for a given set of loops, to find a pipeline configuration and a multi-op ISA that maximizes the IPC (instructions per cycle) while minimizing the resource usage and the cost of interconnections to the register-file of the resulting CPU. The algorithm is based on finding an efficient cover of a large graph by a small set of convex sub-graphs gis that are consistent with a given set of pipeline units. Unlike previous works, gis are not synthesized to circuits that are executed in a co-processor mode but rather both gis and the rest of the program are executed by the same set of multiop pipeline units. In this way we eliminate the overhead associated with the co-processor mode of regular ASIPs but maintain high values of IPC of these ASIPs. Once the pipeline configuration and the cover g1 ∪ ... ∪ gn = G has been computed the Verilog RTL of the corresponding CPU (extended with branch instructions) is generated and synthesized to FPGA. The results show that, for a set of selected kernels, the resulting ASIP (called Ocpu) obtains higher IPC values compare to an equivalent compilation to an ARM cpu while obtaining similar clock frequencies.
  • Keywords
    "Pipelines","Computational modeling","Computer architecture","Registers","Central Processing Unit","System-on-chip","Computers"
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/SAMOS.2015.7363681
  • Filename
    7363681