A general technique for deterministic model-cycle-level debugging
Efficient use of FPGA resources requires FPGA-based performance models of complex hardware to implement one model cycle, i.e., one time-step of the original synchronous system, in several implementation cycles. Generally implementation cycles have no simple relationship with model cycles, and it is...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2014
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| Online Access: | http://hdl.handle.net/1721.1/90485 https://orcid.org/0000-0002-9737-2366 https://orcid.org/0000-0003-0599-0800 |
| Summary: | Efficient use of FPGA resources requires FPGA-based performance models of complex hardware to implement one model cycle, i.e., one time-step of the original synchronous system, in several implementation cycles. Generally implementation cycles have no simple relationship with model cycles, and it is tricky to reconstruct the state of the synchronous system at the model-cycle boundaries if only implementation-cycle-level control and information is provided. A good debugging facility needs to provide: complete control over the functioning of the target design being simulated; fast and easy access to all the significant target design state for both monitoring and modification; and some means of accomplishing deterministic execution when the target design is a multicore processor running a parallel application. Moreover, these features need to be provided in a manner which does not incur substantial resource and performance penalties. In this paper, we present a debugging technique based on the LI-BDN theory. We show how the technique facilitates deterministic model-cycle-level debugging. We used it to build the debugging infrastructure for Arete, which is an FPGA-based cycle-accurate multicore simulator. The resource and performance penalties of our debugging technique are minimal; in Arete the debugging infrastructure has area and performance overheads of 5% and 6%, respectively. |
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